75% of CPAs will retire in the next 15 years and nobody's replacing them. Bluebook is building AI agents that let accounting firms serve ten times more clients with the same headcount. 30 Nordic firms are already using it.
Law firms spend thousands on ads to get the phone to ring, then lose half those leads to voicemail and slow follow-up. Caseflood.ai wants to be the AI layer that catches every call and converts it before the prospect moves on.
Video editing is still painfully manual for most creators. Mosaic is building AI agents that can execute multi-step edits on a canvas, which is a harder and more interesting problem than just slapping filters on clips.
Character.AI proved millions of people want to talk to fictional characters. Swerve thinks the experience should feel more like a story and less like a chatbot with a costume on.
Everyone's building AI browser agents. Asteroid's bet is that enterprises won't deploy them without guardrails, evaluations, and human oversight baked in. They're probably right.
Nobody starts a company dreaming about accounts receivable in the food supply chain. That's exactly why Invo might be onto something. The incumbents are bloated, the margins are thin, and the invoices are piling up.
Roofing contractors lose thousands on every job because their estimates are sloppy. Maive uses computer vision and AI to fix the estimates before the crew shows up, and the founders have 15 patents and a unicorn exit between them.
A four-person team of PhDs from UCL and Cambridge built an x-ray analysis model that's smaller, cheaper, and more clinically accurate than anything the big labs have shipped. Now they're trying to make radiologists twelve times faster.
GPU compute is the new commodity. Pluto is building a regulated derivatives exchange where you can hedge against compute price swings the same way airlines hedge jet fuel. The question is whether the market is ready to trade compute like oil.
Hotels spend a fortune on front-desk staff who answer the same 15 questions all day. Riviera built an AI phone receptionist that handles inquiries, room service orders, and reservations in any language, 24/7.
Everyone is building voice AI agents. Almost nobody is testing them properly. Roark has processed over 10 million minutes of calls and wants to be the QA infrastructure the entire category is missing.
What happens when you buy profitable software businesses and replace the human teams with AI agents? Rocketable is running that experiment with real money, and the thesis is more interesting than the headline suggests.
Hospitals still employ full-time humans whose entire job is shuffling shifts in a spreadsheet. YouShift thinks AI can do that job better, and that scheduling is just the opening wedge into a much bigger workforce problem.
Over 300,000 apps built on the platform, 200,000 users, and a pricing page that goes up to $800 a month. a0.dev is turning React Native app development into something closer to a conversation than a codebase. The question is whether AI-generated apps can hold up when real users start filing bug reports.
CAD software hasn't had a real interface rethink in twenty years. Adam is betting that text-to-parametric-design can make engineering teams ten times faster. Whether that holds up against SolidWorks muscle memory is the real question.
What if instead of learning where Adobe hid the Gaussian blur, you just said 'blur the background'? Awen is rebuilding creative software around voice commands and AI reasoning. The founder got an O1 visa in visual arts at 21 and ran operations for a luxury fashion company. This isn't a tech bro's idea of what creatives want.
Most AI analytics tools generate dashboards. Operand wants to generate decisions. Three college dropouts from Dartmouth and Cornell are building AI systems that handle pricing, forecasting, and allocation for retailers and manufacturers. The pitch is less 'here's your data' and more 'here's what to do with it.'
Design tools and code editors have been separate universes for decades. Onlook merges them into one visual editor that writes directly to your React codebase. With 22,000 GitHub stars and growing, this might be the tool that finally kills the design-to-dev handoff.
Your customer data lives in Stripe, PostHog, HubSpot, Slack, and email. Outlit stitches it into one record and lets AI agents act on it. The positioning is smart. Whether they can hold the center against CDPs with a head start is the harder question.
Trata uses AI agents to interview hedge fund analysts, synthesize investment research, and distribute it as a subscription product. They already have 2,000+ tickers and 125+ fund contributors. The question is whether fund managers will trust research they didn't pay a human to write.
Traditional physics simulations scale exponentially and take thousands of years for certain problems. Trim built a custom transformer architecture that simulates physical systems in constant time. If it works at scale, this changes everything from autonomous vehicles to gravitational wave detection.
Half of all Medicare members churn annually because agencies can't keep up with post-enrollment engagement. careCycle deploys multi-agent AI voice teams that handle the entire customer journey, claiming 5x higher conversions and 37% better retention. The numbers are big. The problem is real.
Running transformer models on edge devices usually means accepting terrible performance or buying expensive hardware. Exla's SDK aggressively quantizes models for up to 80% memory reduction and 3-20x faster inference with a few lines of code.
Medical translation in hospitals currently depends on human interpreters who are expensive, slow to arrive, and often unavailable at 3 AM. Vocality Health is building voice AI that lets doctors speak any language in real time, with medical-grade accuracy.
Government procurement is a $700 billion labyrinth that buries good companies in paperwork. Candor's pitch: AI agents that don't just find the opportunities, but actively chase them down.
Digital health clinics lose most of their potential patients before they ever book an appointment. Cenote's AI sales reps handle the follow-up, the win-back, and the multi-channel outreach that human teams can't scale.
Police departments are drowning in data from body cameras, license plate readers, and digital tips. Closure built a search layer that actually lets detectives find what they need.
ChatGPT now has a shopping feature. Most brands have no idea how it decides which products to recommend. Wildcard gives e-commerce companies SKU-level visibility into AI shopping results and the tools to optimize for them. This is search engine optimization all over again, just for a different kind of search.
Grid-scale battery storage is a fast-growing, data-heavy market where operators are making million-dollar dispatch decisions with spreadsheets and stale reports. Dartboard Energy wants to replace the analyst, not the dashboard.
Several top-20 hedge funds are already using Finbar to automate financial modeling, research, and data analysis. When your customers manage hundreds of billions in assets, the margin for error is zero and the tolerance for hype is lower.
SAT and ACT prep is a $2 billion industry built on decades-old pedagogy. Miyagi Labs wants to replace the whole stack with an AI tutor that actually adapts to how each student learns.
15,000 users, a million modified pages, and a premise that basically says: you know better than the product team. Tweeks.io turns your complaints about websites into actual browser modifications, no code required.
Moving data between Salesforce, NetSuite, and SAP is the kind of work that makes people quit their jobs. Agentin AI built agents that handle it, and they use reinforcement learning to get better when things go wrong.
Back-office work is the last frontier of automation. CopyCat analyzes how your team actually does manual processes, then builds custom AI agents to handle it without you touching a line of code.
Systems engineering tools haven't kept up with the systems they're supposed to engineer. Dalus wants to replace the spreadsheets and siloed documents with something that actually works in real time.
HVAC distributors, pipe and valve suppliers, and lumber yards are not thinking about AI. Paragon is betting they should be, and that automated order processing and demand forecasting will sell itself once someone shows up with a working product.
Vintage shopping has a discovery problem. Retrofit built an AI personal shopper named Sophie to fix it, pulling from independent stores and resellers across the country.
Every company has a graveyard of SQL scripts, cron jobs, and one-off connectors that nobody wants to touch but everything depends on. Superglue replaces them with AI-powered, self-healing integrations.
Commercial insurance brokerages run on email, PDFs, and spreadsheets. Vantel is building an AI-native OS that handles the document processing, CRM, and workflows that brokers currently do by hand.
Most ed-tech products are built by people who have never taught a class. Alice's CEO spent eleven years in university classrooms, and it shows. 100K students, $20K MRR, and a product that turns your messy PDFs into actual exam prep.
Real-time translation tools have existed for years, but they've never worked well enough for a sales call where getting one word wrong can kill a deal. Cuckoo thinks that's changed.
Most AI companies are building software that reads and writes text. General Trajectory is building AI that controls robot hands, targets defense applications, and ships open-source teleop tools. One founder, one mission, very little marketing.
Every AI productivity tool wants to be your copilot. Dex thinks the trick is embedding directly in the browser, learning your context across fourteen apps, and acting before you ask.
Growth teams drown in dashboards that answer the wrong questions. Lopus AI builds an agentic semantic layer that speaks your company's language and unifies structured and unstructured data into answers that actually make sense.
Most AI video models generate clips you watch. Lucid built one you interact with, running at 20+ fps on a single GPU with 100x less training compute than the competition.
Month-end close is the accounting world's recurring nightmare. Mesh automates 90% of accruals by pulling real-time signals from AP inboxes, Slack, and Teams, promising to shave days off the close cycle.
No-code tools promised to democratize software. They mostly created a new class of power users who spend their days in Retool. Rebolt thinks the answer is simpler: just tell the AI what you want and let it build the thing.
Salesforce development has a code review problem that generic AI tools can't solve. Sennu AI built a reviewer that understands the full context of a Salesforce codebase.
Every sales team hates updating their CRM. Ergo monitors Zoom, email, and Slack to keep HubSpot and Salesforce current automatically, then goes further by executing follow-ups based on market signals.
Investment analysts spend hours digging through SEC filings and earnings transcripts. Fira searches thousands of pages in seconds, cites its sources down to the specific cell, and exports to Excel. The founders previously built products used by 45 million people.
Every doctor needs to be credentialed with insurance companies to get paid. The process is a bureaucratic sinkhole that costs clinics real money when it lapses. Harbera uses AI to keep it all current automatically.
Status meetings are where productivity goes to die. Oki wants to replace them with AI-generated weekly reports that actually tell you what happened, pulled from your team's code, tickets, and messages.
Medical clinics lose patients and revenue to unanswered phone calls every day. Ovlo is an AI answering service that handles scheduling, insurance verification, and prescription refills without making patients sit through hold music.
Potholes cost American drivers $3 billion a year. Pave Robotics is building autonomous robots that seal cracks before they become craters, and they work around the clock.
Every company says they need better documentation. Nobody wants to write it. Peppr AI watches your Slack, Notion, and Jira, then writes the docs for you. The pitch is compelling. The graveyard of knowledge management startups is also very large.
Documentation drift is the silent killer of developer experience. Promptless monitors your PRs, Slack threads, and support tickets, then updates your docs automatically. No prompting required.
Email clients haven't changed in 20 years. Stamp is betting that building AI into the core of the inbox, not bolting it on top, creates something fundamentally different. One founder, big ambition, early days.
AI agents are stuck inside chat windows. A1Base wants to give them phone numbers, email addresses, and WhatsApp accounts so they can operate in the real world.
Most workflow automation tools ask you to think like a programmer. Altrina asks you to do the task once while it watches, then handles the rest. That is a fundamentally different pitch.
Most AI tools target knowledge workers who write emails. Macadamia is going after mechanical engineers, construction firms, and manufacturers with AI agents that actually understand CAD files.
The Pokemon card market has a pricing transparency problem. Misprint is applying financial market structure to fix it, with real-time bid/ask spreads and ML-powered valuations.
Live voice translation has been a sci-fi promise for decades. Pinch is building the API and desktop tools to make it work in actual meetings, with actual tone preservation.
Every AI writing tool autocompletes your sentences. Praxim wants to edit your whole document at once, with formatting intact and context from your files and the web.
Enterprise search has been mediocre for decades. ZeroEntropy is building an AI-native search API that handles the messy, unstructured documents most RAG systems choke on.
Every AI product needs a chat interface. Building one from scratch takes weeks and the result is usually mediocre. assistant-ui is an open-source component library that solves this in hours.
Upload a photo. Add a voice. Get a real-time AI avatar you can have actual conversations with. Dollyglot is building Character.AI with faces, and the tech underneath is genuinely impressive.
US immigration paperwork is a black box of compliance risk, attorney bottlenecks, and HR nightmares. Gale is building the platform that automates the worst parts while keeping licensed attorneys in the loop.
Every missed call is a lost job. Hey Telo is building voice AI that picks up the phone for tradespeople so they can stay on the job site instead of the phone.
AI image generation has a usability wall. Lightbox is betting that pre-built pipelines and a conversational interface can knock it down for the rest of us.
The old coding interview tests whether you can solve algorithms on a whiteboard. Outship tests something different: can you actually ship software with AI tools? That might be a better signal for how engineering actually works now.
Electronic component discovery is stuck in the 1990s. Four ETH Zurich grads are building natural language search across millions of parts, and they have bigger plans from there.
Banks spend months testing credit rules that might not even work. Tejas AI is building a platform that lets risk teams simulate, evaluate, and ship decisioning logic faster than their current process allows.
Studio photoshoots cost thousands and take days. Bezel generates product images with AI models in minutes. Over 2,000 brands have already made the switch.
Most AI agent tasks are repetitive. Butter records tool call trajectories and replays them deterministically, cutting out the LLM entirely for cases that could have been a script. Faster, cheaper, and more predictable.
Two ex-Revolut builders are turning weeks of regulatory interpretation into minutes. If compliance work feels like reading legislation through a straw, Cardamon is the fix.
Two teenage founders built an AI grading tool to $200K ARR before they could vote. Now they're scaling it across Australian schools with Y Combinator backing.
Hotels field thousands of calls a week and most of those calls are the same twenty questions. Flowtel is building AI agents that handle everything from booking to room service.
Four college friends from Cornell and Stanford are building an AI-powered game engine. The ambition is big. The question is whether game developers actually want AI touching their creative process.
Documentation is where good engineering teams go to feel guilty. Quantstruct automates the whole thing by watching your codebase and writing the docs for you.
The average sales team uses six different tools to do prospecting. Verbiflow thinks one AI agent can replace the entire stack. They might be right.
Two Stanford engineers are compressing years of urban planning studies into months. Municipalities spend $50 billion a year on planning consultants. Waypoint wants a piece of that.
Construction estimating is still done by humans squinting at blueprints and punching numbers into spreadsheets. Bild AI wants to automate the entire process from blueprint to cost breakdown.
AI agents need access to your tools to be useful. Corsair is the permission layer that makes that access safe enough to actually turn on.
Students are already using ChatGPT to cheat on homework. Excellence Learning wants to give them an AI that actually teaches instead.
Neurological drug development has a 90% failure rate. Exin Therapeutics thinks multimodal AI and high-throughput mouse studies can change those odds.
Grading STEM homework is tedious, time-consuming, and one of the main reasons adjunct professors question their life choices. GradeWiz automates the entire process, handling math notation, code, and handwritten diagrams while providing step-by-step feedback.
AI agents are shipping to production faster than teams can debug them. Subtrace traces every HTTP request and tool call without touching your code, giving you a real-time window into what your agents are doing and why they fail.
Every developer building AI agents is solving the same infrastructure problems from scratch. Truffle wants to hand them a solved stack so they can focus on the actual agent logic.
Traditional recruiting agencies charge 25% of first-year salary and still miss half the good candidates. Candid embeds AI talent engineers into your hiring process for $500 a month per role. The math speaks for itself.
Structural and thermal analysis in aerospace and defense takes weeks and requires specialists. Arda built an AI that delivers first-pass calculations in minutes, letting engineering teams run analysis 10x faster.
Every expert, creator, and educator hits the same wall: there's only one of you, and everyone wants your time. Delphi built a platform where you can create an AI version of yourself that thinks, talks, and responds the way you do.
Most AI support bots hallucinate answers your docs never contained. Inkeep grounds everything in your actual content and then lets you build agents on top of it. The customer list suggests it works.
The skilled trades have a knowledge transfer problem. Experienced workers are retiring, new workers need guidance in the field, and nobody wants to read a 200-page manual. KnowHow turns institutional knowledge into AI-generated step-by-step guides.
Koala unified 30+ signal sources to tell sales reps exactly who was ready to buy. Then Cursor acquired the team, and the product got a shutdown date. The story of what Koala built still matters.
Building permits are the bottleneck nobody outside of construction talks about. Permitify uses AI to analyze zoning codes, surface constraints, and help development teams make go/no-go decisions before they waste months on a project that was never going to get approved.
Kafka is powerful, popular, and notoriously difficult to work with. Quix built a platform that lets engineering and data teams develop, deploy, and monitor stream processing pipelines without wanting to throw their laptops out the window.
Freight brokers spend most of their day on the phone with carriers, tracking shipments, and putting out fires. Zeon Systems built an AI that does all three, and it doesn't need a lunch break.
Most small businesses run their back office on a patchwork of QuickBooks, spreadsheets, and prayer. Deca wants to replace all of it with a single AI-native ERP platform.
Every AI agent needs to talk to the outside world. Klavis AI is building the managed infrastructure layer so developers don't have to wire up OAuth flows and tool integrations from scratch.
Campfire has quietly built the most comprehensive creative writing platform on the market. 750,000 authors, 4 million projects, and a worldbuilding toolkit that makes Scrivener look like Notepad.
Maige automates the grunt work of GitHub issue management with AI that labels, assigns, reviews, and responds. Built by Rubric Labs with 4,300+ repos already using it.
Sameday AI has answered 2 million calls for home services and real estate businesses, booking appointments at a 92% rate. The AI phone agent market is real, and Sameday is one of the companies proving it.
Writing a defense proposal takes months, costs hundreds of thousands of dollars, and still might lose. ConductorAI built an AI platform that searches millions of government documents to help contractors write compliant proposals faster.
Process manufacturing plants still run on tribal knowledge and spreadsheet-based recipes. Vesence wants to replace gut instinct with real-time AI optimization, and the founders' path from music production and professional basketball to factory floors is stranger than you'd expect.
Terrakotta launched as an email deliverability tool for SDR teams. Now it's an AI-powered sales prospecting platform for commercial real estate, complete with voice cloning and automated dialing. The pivot tells you something about where outbound sales is heading.
There are hundreds of meditation apps. Most of them are glorified audio players with a subscription model. Sati AI is trying something different: a personalized AI teacher grounded in Buddhist psychology and neuroscience. Whether that distinction matters is the interesting question.
When your codebase is millions of lines spread across hundreds of repos, your IDE's search bar is useless. Sourcegraph built the tool that makes massive codebases navigable, and now they're layering AI on top of it.
Every AI analytics tool promises to answer your data questions. Relta says the others are guessing and it can prove its answers are correct through formal verification of generated SQL.
Your AI app can talk to one data source at a time. Airweave wants it to search all of them at once, and the pitch is more practical than it sounds.
The team that built Gatsby.js is back with an open-source TypeScript framework for AI agents. 22,000 GitHub stars suggest developers are paying attention.
Finance analysts spend 60% of their time on research drudgery. Rogo built an AI platform that handles the grunt work and somehow convinced 25,000 financial professionals, including teams at major investment banks, to use it.
Most AI agents break and stay broken. Giga ML builds agents that learn from their failures in real time and get better without human intervention.
Engineering teams spend 20 hours waiting for code reviews. Greptile indexes the whole codebase and cuts that to under 2. Over 1,000 teams already use it.
Most legal AI tools help you draft contracts faster. Crimson went after litigation, where the documents are messier, the stakes are higher, and the market is wide open.
AI tutoring for K-12 math that actually follows the curriculum your kid is already using in class. Not a homework cheat tool. Not a calculator with a chatbot stapled on. A tutor.
AI agents are great at short tasks and terrible at long ones. Aviro built a reinforcement learning layer that teaches agents to stop breaking down after step twelve.
Running GPU servers for AI models is expensive when they're busy and wasteful when they're idle. Cerebrium thinks serverless is the answer, and the economics actually make sense.
AI product photography is a crowded, slightly overhyped corner of e-commerce tools right now, and SellShots knows it.
73% of insurance account managers over 60 are nearing retirement, and hiring replacements takes months. Acolite is betting that AI teammates can handle the operational grind so the humans who remain can focus on clients.
Clidey started with WhoDB, an open-source platform for modeling organizations. Now they have added Docucod, which generates and maintains documentation straight from your codebase. Two products, one team, and a bet that data-driven decision-making needs better infrastructure.
Voice agents are everywhere now. Compliance infrastructure for them is not. Atlog is betting that the companies automating calls at scale will pay for the one that keeps them out of court.
Gen Z is leaving broadcast social media and retreating into group chats. Text.ai thinks the group chat itself needs an upgrade, and they built Alfi to be the friend in the chat who actually remembers what everyone likes.
Designers spend more time on presentations, feedback wrangling, and asset resizing than they do on actual design. Ideate is the first platform built specifically to fix that — and 4,900 designers on the waitlist agree it's overdue.
AI agents are shipping faster than anyone can test them. Janus is building simulation environments that catch the failures before they reach production. The pitch: trust, but verify.
Two brothers, one from SpaceX and one from a clean energy startup, are using AI to match complex weld jobs to the right fabrication shops. The pitch: cut bid and scheduling time by 80%.
Three repeat founders who scaled a company to $400M valuation got tired of status meetings. So they built a tool that reads every line of code and tells you what actually shipped. Six-figure ARR in a week.
Construction runs on WhatsApp. Scopey Onsite uses AI to convert the thousands of messages, photos, and voice notes flying around every job site into structured, time-stamped records that hold up in disputes. They just raised $850K to prove the industry will pay for evidence it already creates.
The global second-hand golf equipment market is worth $3 billion, but buying used clubs still feels like gambling on eBay circa 2008. Edinburgh-based Hosel just raised £500K to aggregate trusted sellers and bring recommerce infrastructure to a sport that desperately needs it.
Three PhDs from EPFL and Meta AI are building an AI that learns your company's institutional knowledge, runs experiments, and ships programs on your existing stack. The ambition is large. The question is execution.
Every website builder promises you a store. Runner AI promises it will keep optimizing that store after you walk away, and that's a very different claim.
India's fashion and lifestyle market is racing past $100 billion, but most global brands still stumble at the border. Confluxe just raised $1.6 million to build the tech-led operating layer that gets them in without losing what makes them distinctive.
Two Stanford grads built a free health companion that pulls records from 800+ institutions and 20+ wearables into one place. The bet is that unified patient data changes everything.
Morphik is an open-source retrieval platform that gives AI apps access to real documents instead of confident fabrications. Space-tech teams and brokerage developers are already using it.
nao is an open-source framework for building analytics agents that actually understand your data warehouse. Not another chatbot with a SQL generator bolted on.
Describe the prediction you want to make, connect your data, and Plexe builds, evaluates, and deploys the model for you. That is either the future of ML or a very good demo.
Two Berkeley dropouts built autonomous agent runtimes that get better at their jobs without human intervention. Their first agent, Rex, already handles GEO for 400+ customers including Rippling and Airwallex.
Every AI company promises your data is safe. Tinfoil skips the promise and gives you a mathematical proof instead.
An ex-AWS Bedrock engineer and an ex-Microsoft Copilot researcher built the testing infrastructure that every company deploying conversational AI needs but nobody has built yet.
Data centers are expanding faster than operators can staff them. Boost Robotics thinks autonomous robots that can actually manipulate hardware are the only way to keep up with the inspection backlog.
250 million insurance claims get denied every year because of documentation errors. Adentris watches clinical notes as they're written and catches mistakes before they become expensive problems.
Tax season is a grind of document chasing, client questions, and manual review. Combinely thinks AI can handle the boring parts so accountants can focus on the judgment calls.
Two IIT Bombay grads with Stripe and Amazon backgrounds built an AI biostatistician that generates real-world evidence from EHR and claims data. What used to take months now takes minutes.
Lab instruments generate mountains of data that nobody can actually use. Labric wants to turn that mess into something AI can work with, and the timing might finally be right.
Everyone knows RLHF makes models better. Almost nobody has the infrastructure to do it themselves. RunRL is betting that turning reinforcement learning into a managed service is the right abstraction.
User research is expensive, slow, and most startups skip it entirely. Stratify automates the whole process from recruiting participants to delivering insights, and that could change how products get built.
Industrial robots cost six figures and need expert programmers. The Robot Learning Company thinks dual-arm robots under $10,000 with self-learning software can change that math entirely.
Voice-to-text tools have been mediocre for a decade. VoiceOS is betting that AI has finally gotten good enough to make talking to your computer feel natural instead of painful.
Every company wants to automate. Few know what to automate first. Autostep installs across your org, watches how people actually work, and surfaces the repetitive tasks bleeding the most time and money.
Salesforce doesn't know how to sell a pressure washing contract. Cohesive built a CRM that automates sales and marketing for the trades, and 350 businesses are already using it.
Computer-use agents need somewhere to work that is not your laptop. Cua provides sandboxed cloud desktops where AI agents can see screens, click buttons, and run applications without touching your actual machine.
Trucking runs on phone calls, faxes, and spreadsheets. Hemut wants to replace all of it with AI agents that answer phones, process documents, source loads, and handle accounting for small fleet operators.
Meeting transcription is a solved problem. Lyra is betting that the real opportunity is what happens after the call ends, turning conversations into CRM updates, follow-up emails, and deal intelligence without anyone lifting a finger.
A former Anthropic and Scale AI engineer is building a consumer social product powered by AI. The website says almost nothing. The investor list says plenty.
Cloud gaming promised instant play and delivered input lag. Wavedash runs games natively in your browser using WebAssembly and WebGPU, and it charges developers 10% instead of Steam's 30%.
End-to-end testing is the part of software development that everyone agrees is important and nobody wants to do. Docket replaces brittle CSS selectors with coordinate-based AI agents that see your app the way a human does, and the tests actually stay green.
Financial services firms spend billions on manual operations that follow rigid, documented procedures. Eloquent AI watches how your team works, learns the playbook, and then runs it autonomously. They hit $500K in annual recurring revenue in their first month, which tells you exactly how desperate this industry is for automation.
Fleet management software has been around for decades, but most of it still feels like a spreadsheet with GPS pins. Flott HQ is building an AI-native platform that unifies planning, tracking, invoicing, and payments for transport companies doing $200K in ARR and growing 45% month over month.
Financial auditing is one of the last white-collar professions where people still spend days manually cross-referencing spreadsheets. Moby Analytics lets auditors build and deploy AI agents using only prompts and domain expertise, cutting 80% of the grunt work while keeping everything traceable and auditable.
Home service businesses miss calls constantly, and every missed call is a lost job. Cactus answers the phone 24/7, qualifies the lead, and books the appointment. The founder already built a YC company to Series A. This is his second act.
Most AI chatbots refuse to give you a straight answer. Opine built 100+ personas that actually have opinions, sourced from real YouTube creators and podcast hosts, and it turns out people want advice that sounds like it came from a human with actual convictions.
Researchers spend more time cleaning data than analyzing it. Percival writes the code, suggests the analysis, and interprets the results, all inside your existing workspace. It is what Jupyter notebooks would be if they were invented today.
Getting a mortgage is still a miserable experience full of hidden fees, opaque pricing, and paperwork that could fill a filing cabinet. Ralo automates the comparison, negotiation, and closing process so lenders compete for your business instead of the other way around.
Bloomberg Terminal costs $24,000 a year and looks like it was designed in 1998. Scalar Field is building an AI-powered alternative with financial agents, and 800 paying traders putting up $74K in monthly revenue suggests they are onto something.
Everyone uses ChatGPT to write now. Almost nobody is happy with how it sounds. TypeOS is betting that the real product isn't better generation but better translation from AI-speak to your voice, and 6,000 users seem to agree.
Spreadsheets have not changed fundamentally since VisiCalc. BitBoard is building an AI-native version where you talk to an agent that builds, updates, and analyzes your data while you keep full control over every cell. Think of it as the spreadsheet rebuilt for people who would rather describe what they want than write formulas.
EMTs spend a staggering amount of time on paperwork after every call. CareSwift, built by a working NYC EMT and his technical co-founder, uses AI to guide crews through documentation in under three minutes while catching compliance errors in real time. The result: 80% less time writing reports, fewer insurance denials, and medics who can get back to saving lives.
Hotels spend millions on guest communications, from pre-booking inquiries to post-checkout follow-ups. Cleon, built by an ex-Palantir engineer and his co-founder, deploys AI agents that learn each hotel's brand DNA and handle the complete guest journey without sounding like a chatbot.
Penetration testing is a $3 billion market dominated by firms that send humans to do what AI agents could do faster, cheaper, and more thoroughly. Riverbank, founded by an ex-NSA operator, is deploying swarms of AI agents to find the vulnerabilities that conventional scanners miss and human pentesters run out of time to discover.
NYC rental commissions are absurdly high, and landlords have been paying 12%+ because the alternative was doing everything themselves. Spotlight Realty built an AI-powered brokerage that handles tenant screening, showing scheduling, and the entire listing process for 4%. The agent never sleeps, and it never asks for a bigger cut.
AI code generation is shipping features faster than ever. It is also shipping bugs faster than ever. Synthetic Society deploys swarms of AI users that behave like real humans to find the UX flaws, broken flows, and edge cases that manual QA misses. Two MIT and Columbia dropouts are betting that testing needs to evolve as fast as the code it checks.
Every doctor's office has the same problem: phones ring constantly, front desk staff are overwhelmed, and patients sit on hold for ten minutes to book a simple appointment. Trapeze replaces hold music with AI voice agents that handle scheduling, intake, and insurance verification around the clock. Over 140 practices and more than a million patients are already on the platform.
Everyone is building AI agents. Almost nobody knows how to make them reliably better. ZeroEval closes the feedback loop between production failures and prompt optimization with calibrated LLM judges that learn from your corrections, turning weeks of manual tuning into hours of automated improvement.
AI agents are calling APIs, querying databases, and executing transactions with long-lived API keys and zero oversight. Alter intercepts every tool call an AI agent makes and enforces parameter-level authorization, ephemeral credentials, and real-time guardrails. Two founders in New York are building the identity layer that the AI agent ecosystem forgot to build.
Every digital product generates conversation. Support tickets, in-app chat, feedback forms, onboarding flows. Costream is building infrastructure to capture, index, and make all of that dialogue searchable and actionable. Two Cornell dropouts who already scaled an AI product to 100K users think they can turn product conversations into structured intelligence.
Construction has an operator shortage that is getting worse every year. Flywheel AI retrofits existing excavators with remote operation hardware, letting one operator run multiple machines from an office. They are also collecting the training data to make those machines autonomous. Two founders in San Francisco are betting that the path to autonomous heavy equipment runs through teleoperation first.
Half of all search volume could shift to AI interfaces by 2028. That is a $1.3 trillion advertising opportunity with no incumbent ad network serving it. Imprezia, built by a former Amazon Ads and Meta Ads engineer, is placing contextual brand integrations inside AI chatbot conversations. One-line SDK. No banner ads. Just relevant brand mentions woven into natural dialogue.
A delayed clinical trial costs pharma companies up to $312 million. The biggest bottleneck is patient recruitment: research sites spend hours reviewing medical records and conducting screening calls for every single participant. Phases built an AI agent named Polly that reads records, conducts voice interviews, and schedules patients automatically.
Industrial robots take months to program for new tasks. Verne Robotics uses diffusion models to train bimanual robot arms from thirty minutes of human demonstration. Their first product deploys in four days. A biotech unicorn is already a customer. Two founders from Stanford, Columbia, and the Vision Pro team are building the learning layer that makes robots actually flexible.
Manual QA is slow. Selenium scripts break every sprint. Autosana lets you write end-to-end tests in plain English for iOS, Android, and web apps, then runs them on cloud-hosted agents that heal themselves when the UI changes. Two former mobile startup engineers think the entire testing layer is about to get replaced.
Self-insured employers waste over $60 billion a year on medical claims that should never have been paid. Avelis Health uses machine learning to review every single claim, voice AI to retrieve medical records, and LLMs to validate whether the billed services actually happened. They have already helped 60 patients erase over $300K in bills.
Three former Apple engineers who co-created SwiftUI built a tool that lets you describe an iPhone app in plain English and get production-ready Swift code you can ship to the App Store. No Xcode required. No Mac required. You build the app on your iPhone.
Getting a drug approved is just the beginning. Proving it works well enough for insurers to cover it requires mountains of fragmented clinical evidence, and the teams assembling that evidence are drowning. Louiza Labs built an auditable AI platform that synthesizes pharmaceutical data 10x faster while keeping regulators happy.
Browser automation breaks constantly because websites change. Notte built a full-stack browser infrastructure platform that lets AI agents run on the internet at production scale, with under 50ms latency, 1000+ concurrent sessions, and an agent success rate above 90 percent. Two MIT researchers who spent years studying why web automation fails think they finally fixed it.
Most BI tools demand weeks of setup, SQL fluency, and a dedicated analyst to get anything useful out of them. Pleom connects your data sources in seconds and generates AI-powered visualizations, workflows, and analytics with zero learning curve. Founded by an 18-year-old Georgia Tech ML grad, it is the anti-Tableau.
Companies are deploying AI agents without any system for tracking what those agents do, whether they drift from their intended behavior, or whether they comply with evolving regulations. TectoAI built a governance platform that treats AI agents like employees: onboard them, assign roles, monitor performance, and flag compliance issues before regulators do. Two founders from Google and regulated industries think governance is the unsexy layer that makes enterprise AI adoption actually possible.
Production debugging is still mostly manual. An engineer gets paged, opens Datadog, stares at logs, traces the issue across three services, and writes a fix four hours later. TraceRoot built an open-source AI agent that connects to your telemetry, traces the root cause, and drafts the pull request. The SDK has over 10,000 downloads and the founding team fixed 300+ production bugs at Meta and AWS before deciding to automate themselves out of a job.
Enterprise software implementations fail at staggering rates. Scope creep, miscommunication, and lost context between discovery calls and delivery teams destroy margins and timelines. Datafruit built AI agents that capture every conversation, structure scope from day one, and use historical project data to make every engagement sharper. Three UC Berkeley and Georgia Tech engineers are going after the consulting industry's oldest problem.
Every AI coding tool is built for web developers. Firmware engineers, the people who write the software that runs inside cars, medical devices, and industrial equipment, have been completely ignored. Embedder is an AI-powered IDE that reads datasheets, generates production-ready drivers, and tests code on real hardware. Tesla, Samsung, and Medtronic are already using it.
The Model Context Protocol is becoming the standard way AI agents connect to the outside world. Manufact, formerly mcp-use, built the open source SDK that 4,000 companies already depend on. Now they are building the cloud infrastructure layer on top. With NASA, NVIDIA, and SAP as customers and 5 million downloads, this three-person team from Zurich and San Francisco is positioning itself as the default MCP platform.
Notion and Google Docs help you write things down. ChatGPT helps you ask questions. Opennote combines both into a notebook where an AI tutor named Galileo reads your notes and helps you actually learn from them. Over 55,000 students are already using it.
Recruiting is broken in a specific way: the first interview is almost always a waste of time for everyone involved. Outrove built an AI recruiter with a human-appearing video presence that joins Google Meet and Zoom calls, conducts natural screening interviews, and feeds structured evaluations into your hiring pipeline. Two founders who previously built seven-figure SaaS companies and a UN-recognized robotic doctor think the first 30 minutes of every hiring process should be automated.
Deel charges $599 per employee per month for EOR services. Remote charges $599. Rippling is somewhere in that range. Shor is launching at $99 per month for full-time employees and $20 per month for contractors, using AI agents for compliance automation and stablecoins for instant settlement. A Waterloo and UT Austin team thinks the global payroll industry is overcharging by 5x.
Fraud teams at fintechs and banks are drowning in false positive alerts while real fraud slips through. Socratix AI, built by a DoorDash fraud systems veteran and a Cruise infrastructure engineer, deploys autonomous AI analysts that investigate alerts around the clock and actually explain their decisions.
Insurance underwriting still runs on spreadsheets, email threads, and tribal knowledge locked in the heads of senior actuaries. Tesora is building AI-native software that encodes expert workflows into durable systems for MGAs and carriers. Two founders with McKinsey, private equity, and Google engineering backgrounds think they can do for insurance what Harvey did for law.
Jira has been the default ticket management system for engineering teams for fifteen years, and almost nobody likes it. Janet AI is not adding AI features to Jira. They built an entirely new system where tickets create themselves from Slack conversations, meeting transcripts, and emails, then update themselves when PRs merge. Two Cornell and UW-Madison grads who were founding engineers at previous YC startups think the entire concept of manual ticket management is about to die.
Whisper works great for English. For Urdu, Bengali, and Greek, not so much. Uplift AI is building foundational voice models for regional languages and delivering them through APIs and SDKs so developers in emerging markets can build voice-first applications that actually work.
Every B2B company loses customers it should have saved and misses expansion opportunities it should have caught. Ambral builds AI account managers that synthesize signals across every customer touchpoint and actually do something about what they find.
Commercial real estate brokers work 60-hour weeks and spend more than half that time on repetitive deal materials. Closera, built by two Stanford CS grads with backgrounds at Google and BCG, automates the grunt work of CRE so brokers can focus on relationships and deals.
AI models can pass bar exams but still produce UIs with white text on white backgrounds. Design Arena pits AI models against each other on real creative tasks and lets actual humans vote on which output is better. Simple concept, hard to replicate, and increasingly important.
Every major AI model today requires a data center to run. DeepGrove is building technology to bring frontier-level intelligence to edge devices, from phones to embedded systems, without sacrificing capability. If they pull it off, the implications for privacy, latency, and accessibility are enormous.
Most coding agents lose the plot halfway through a long task. Magnitude splits the work across specialized subagents for planning, reviewing, debugging, and browsing so the main agent stays focused on what you actually asked for.
Two founders forked Chromium's 30-million-line codebase and built a browser where AI agents handle your tedious web tasks. Comparing flight prices, scheduling meetings, filling out forms. Meteor wants to be what Chrome would look like if it were designed for the agent era.
AI coding agents are good at writing code but terrible at knowing what libraries actually do, what APIs have changed, and what documentation says right now. Nozomio indexes external context so your agents stop hallucinating about frameworks they last saw in training data.
Seventy percent of hourly businesses still use paper timesheets. Sira automates scheduling, time tracking, and payroll for field teams using geofencing, voice AI, and a compliance engine that actually knows your state labor laws.
Search is splitting in half. Half the queries still go to Google. The other half go to ChatGPT, Perplexity, and Claude. The Prompting Company is building the playbook for showing up in the AI half.
Legacy Windows applications run the backend of healthcare, finance, and logistics. Nobody builds integrations for them because nobody wants to. Cyberdesk trained an AI agent that learns how to use these apps the same way a human would, and hospitals are already using it for patient intake.
Agricultural distributors and mining companies spend thousands on manual surveys to measure their stockpiles and the results are still off by 20 to 30 percent. dScribe flies drones over the piles, builds 3D models, and gives you precise volumes in hours instead of weeks.
Every company needs explainer videos. Almost nobody can afford to make them well. Knowlify wants to turn any document into a polished animated explainer in seconds, not weeks, and the 3Blue1Brown comparison is not accidental.
End-to-end tests are brittle, slow to write, and nobody wants to maintain them. Lark replaces Cypress and Playwright scripts with plain English descriptions and uses AI to figure out the selectors, waits, and assertions.
AI coding agents are powerful but chained to your laptop. Omnara cuts the cord by letting you monitor, review, and control Claude Code and Codex from your phone or any browser.
Commercial real estate brokers still run their businesses on spreadsheets, phone calls, and gut instinct. PARES AI wants to give them an all-in-one platform with CRM, skip-tracing, AI underwriting, and automated marketing.
Listing stuff for sale online is tedious enough that most people just don't bother. Rid reduces the entire process to texting a photo. The AI writes the listing, handles negotiation, and arranges delivery.
Every AI coding tool targets software developers. SigmanticAI built one for chip designers, automating the verification workflow that eats 70% of the semiconductor development cycle. Siemens is already a partner, and the fine-tuned Verilog models are beating Cursor on accuracy benchmarks.
Most AI companies want bigger models on bigger servers. Stellon Labs is going the other direction, building frontier-quality models small enough to run on phones, wearables, and embedded devices. Their open-source KittenTTS hit 8,000 GitHub stars in two weeks.
Your inbox is a to-do list that other people write for you. April is a voice AI assistant that reads your email, drafts replies, manages your calendar, and filters the noise. Hands-free. All through your voice.
Trucking dispatch is a combinatorial nightmare that most fleets still solve with spreadsheets and phone calls. Fleetline combines optimization algorithms with LLMs to automate load planning, and they claim a 25% boost in fleet utilization.
Everyone wants to build AI agents that use computers like humans. The problem is you cannot train those agents on production systems without breaking things. Halluminate builds realistic sandbox environments that replicate Salesforce, Slack, and enterprise tools so AI labs can train and benchmark computer use agents safely.
Traditional insurance prices hardware risk using actuarial tables built for a world of known failure rates. Iron Grid uses physics-informed ML models and live telemetry to underwrite batteries, robots, and industrial systems that actuarial tables have never seen.
Everyone is fighting over which model to run. Luminal is fighting over how fast you can run any of them. Their ahead-of-time compiler turns AI models into optimized GPU code and is already beating vLLM and TensorRT-LLM on throughput benchmarks. Three people, $5.3 million, and a very different theory of how inference should work.
Car washes are a $15 billion industry running on software from the early 2000s. Nautilus plugs into legacy POS systems and layers on AI-powered CRM, e-commerce, and marketing automation to help operators sell more memberships, cut churn, and stop managing their businesses out of spreadsheets.
AI agents are shipping into production with no way to safely test them against real-world failures. Playgent builds high-fidelity sandbox environments where teams can reproduce bugs, run evaluations, and train agents through reinforcement learning, all without touching live systems.
Institutional investors spend millions on research. A growing share of the signal they care about lives in podcasts, interviews, and conference talks that nobody has time to listen to. Serafis indexes it all and surfaces narrative shifts before they become consensus.
Food wholesalers take orders through WhatsApp, SMS, phone calls, and email, then manually key everything into ERPs built in the 1990s. Stockline unifies all those channels and uses AI agents to automate order entry, letting wholesalers focus on product and customers instead of data entry.
Retail investors make up 25% of U.S. trading volume but more than half lack confidence in their decisions. Astor monitors markets continuously and delivers institutional-grade research briefs, catalyst alerts, and hypothesis testing to individual investors who want to stop guessing and start reasoning.
A bad dimension on an engineering drawing can cost a manufacturer millions in scrap and delays. F4 automates GD&T compliance checks using AI, built by engineers who have lived through the pain at Tesla and SpaceX.
No-code tools have been promising non-technical founders they can build real software for years. Floot thinks the problem was never the interface. It was the framework underneath.
Running scientific simulations involves weeks of manual setup, parameter tuning, and validation. Fluidize lets researchers describe what they want in plain language and turns it into reproducible computational pipelines that scale from laptop to cloud.
Most companies are drowning in repetitive tasks that are too complex for simple automation but too tedious for humans. Trace sits in the middle, routing work to AI agents or people based on what actually requires human judgment.
Enterprise voice AI has been a graveyard of bad IVR menus and robotic chatbots. Freya is betting that multilingual, compliance-aware voice agents can finally replace the call center without making customers want to throw their phones.
Home services technicians need to diagnose problems, recommend solutions, and close sales on the spot. Most are good at one of those three things. NOSO LABS builds AI agents that ride along on every service call, helping techs diagnose faster, price accurately, and sell with confidence.
Your messages are scattered across email, iMessage, WhatsApp, LinkedIn, and X. Pally pulls them into one place and adds a personal CRM that tracks your relationships so you stop losing track of people who matter.
Email is broken and everyone knows it. Slashy connects to your inbox and your entire productivity stack, then uses AI agents to handle the repetitive work you pretend you will get to later.
AI coding tools are powerful but disconnected from what you actually see on screen. Stagewise puts a coding agent directly in your browser so you can click on elements and tell it what to change.
Every AI shopping agent needs a product database. Channel3 built one that covers millions of products from thousands of brands, with sub-2-second lookups and built-in monetization.
Property management companies lose leads and frustrate tenants because nobody answers the phone. Wayline puts an AI voice agent on every line, 24/7, and integrates with the property management software you already use.
Fewer than 2% of American cities can afford a centralized call center. EffiGov is deploying AI voice agents that handle 311 and departmental calls around the clock, and two cities in production are already automating over half their inbound volume.
Motion graphics have been trapped behind After Effects for two decades. Hera replaces the timeline with a text prompt and generated 50,000 animations in its first week.
Freight brokers spend their days making hundreds of phone calls to negotiate rates with carriers. Lanesurf built voice AI that handles those calls in parallel, and the system gets better at negotiation every time it dials.
Tax preparation software has not meaningfully changed in twenty years. Magnetic is using AI to read scanned documents, handwritten notes, and messy spreadsheets, then enter the data directly into legacy tax software like UltraTax and Drake.
Hospitals are drowning in AI vendor pitches and terrified of deploying any of them. Parachute gives health systems a governance layer to evaluate, monitor, and audit clinical AI without needing a team of ML engineers on staff.
Coding agents are getting good at writing code. They are terrible at deploying it safely. Proliferate gives them sandboxed environments, event triggers, and verification workflows so they can ship without human babysitting.
Big law firms have armies of associates to grind through research and drafting. Small firms have two partners and a paralegal. Skope wants to close that gap with AI that actually works inside Microsoft Word.
Topology optimization is one of the most compute-intensive tasks in mechanical engineering. Topological built a foundation model called UToP that does it nearly 2,000 times faster than conventional methods with less than 5% error.
The prompt-to-app space has a dirty secret: most tools generate frontends that look great and backends that are held together with duct tape. VibeFlow is trying to fix that by making backend logic visual, editable, and actually understandable.
Restaurants lose an estimated $100K per year per location from missed phone calls. Certus AI built a voice agent that picks up every call, takes orders, handles reservations, and pushes it all straight into the POS. Live in 48 hours.
Industrial distributors still process purchase orders by hand, reading PDFs and retyping line items into ERP systems. Comena built AI agents that extract order data from emails and documents and push it straight into your back office.
Traditional pharma takes a decade and $2 billion to bring a drug to market. Convexia uses AI agents to source overlooked drug candidates, run computational trials, and move 10x faster than incumbents.
Teachers spend five to ten hours a week grading math assignments by hand. Frizzle processes entire class sets in minutes, reading handwritten student work and generating step-by-step feedback that actually helps kids learn.
Multifamily property managers spend tens of thousands a year on manual expense coding. IronLedger automates the entire accounts payable workflow with AI agents that hit 97% accuracy out of the box and integrate with every major PMS.
Class action firms spend months reviewing medical records to qualify cases. Kalinda processes thousands of pages in parallel and extracts proof of injury, proof of use, and eligibility data in hours.
Most companies running GPU clusters have 30 to 50 percent of their capacity sitting idle at any given time. Lilac unifies scattered GPU resources across clouds and on-premise into a single compute fabric, letting data scientists submit jobs to one scheduler instead of hunting for available machines.
B2B sales teams spend hours stitching together data from ZoomInfo, LinkedIn, and a dozen other sources. Orange Slice replaces the entire enrichment workflow with a spreadsheet where every column runs AI-generated TypeScript, pulling from 100-plus data sources in one pass.
Interface is training neural systems that model how humans and objects look, move, and interact in visual environments. Their first model is launching soon, targeting world-model research for gaming, entertainment, and simulation applications.
Drug discovery chemistry runs on trial and error. b12 Labs built an AI agent that plans experiments, translates them into robotic protocols, and achieved full conversion in a single attempt where human chemists needed eight to twelve tries.
Ashwini Asokan left Intel to build AI that put humans first. She and her neuroscientist husband built Vue.ai into a $57M-funded platform serving Tata, FedEx, and Meta. Then the foundation model wave arrived and changed the math entirely.
Granola and Otter record your meetings and send everything to the cloud. Char does the same thing but stores everything locally in plain markdown files you actually own. Seven thousand GitHub stars suggest people care about the difference.
AI agents fail in ways that are hard to reproduce and harder to diagnose. Fulcrum builds red-teaming agents that find the failures for you, uncover environment bugs, and catch reward hacking before it ships.
Cursor and Copilot built AI coding for software engineers. Lotas built it for data scientists who live in RStudio, write R, and have been completely ignored by the coding assistant wave.
Doe connects to 40+ business tools and deploys AI agents that handle repetitive operations work. At $500 per user per month, the bet is that replacing tedious tasks is worth more than most SaaS subscriptions.
Forward deployed engineers are the most expensive people at AI companies, and most of them track their work across Slack threads, Linear tickets, and memory. Nixo centralizes the chaos.
Biology labs spend more time wrestling with data visualization than doing actual science. Novaflow takes raw experimental data, a plain English question, and returns publication-ready plots in minutes.
Language apps have spent a decade gamifying vocabulary drills. Pingo AI skips the flashcards and drops you straight into conversation with an AI tutor that actually talks back.
Web forms have a completion rate problem. RowFlow replaces them with AI-powered conversations that happen over text, Slack, or embedded chat, and claims to dramatically increase the number of people who actually finish.
Everyone is building AI agents. Almost nobody can test them properly before deployment. AgentHub provides the simulation environments, tracing tools, and evaluation frameworks that agent developers need.
Debt collection is a massive industry run on manual phone calls and bad software. Altur built voice AI agents that negotiate payment plans and follow up on WhatsApp. Six months in Mexico, $6 million collected.
Media prep is the most tedious part of post-production. Cocreate automates syncing, proxies, checksums, and organization so editors can go from SD card to timeline in minutes instead of days.
GPU data centers are burning through power at unprecedented rates and most operators have no idea how much they are wasting. DeepAware AI uses reinforcement learning to optimize workload placement and cut energy waste by up to 30%.
Security awareness training has been stuck on fake phishing emails for a decade. GhostEye builds exposure maps of employees and launches autonomous simulated attacks across email, voice, SMS, and deepfakes.
Traditional computer vision requires months of labeling data and training custom models. OnDeck uses vision language models to analyze video footage out of the box, no training needed, and their NeurIPS paper says it works better.
Most trucking dispatchers plan loads using gut feel and spreadsheets. Palace builds AI that maximizes revenue per truck by unifying driver, operations, and freight data into a single planning platform.
Finding the right influencer used to mean scrolling through spreadsheets and begging for email replies. Stormy AI automates discovery, outreach, negotiation, and payment with 99.8% accuracy on creator matching.
Three researchers from the University of Toronto and Vector Institute built an open-source RNA foundation model. Sanofi and GSK are already using it. The goal: simulate expensive wet-lab experiments before anyone touches a pipette.
Firmware engineering is one of the last software disciplines untouched by AI. BootLoop changes that with an agent that reads datasheets, writes production-ready embedded code, and validates it against actual hardware using oscilloscopes and logic analyzers.
Food distributors still take orders by fax, phone, and email, then manually key them into legacy ERPs. Burnt drops AI agents into those systems and claims 97% of orders now flow end-to-end without a human touching them.
The sales intelligence market is dominated by Apollo, ZoomInfo, and LinkedIn Sales Navigator. Clodo is betting that AI-native lead discovery, where you describe your ideal customer in plain English, makes all of them feel like phone books.
AI coding agents have full access to your file system, your secrets, and your network. ContextFort gives security teams a way to see exactly what those agents are doing, without trusting the agents to self-report.
Nobody reads the documentation. Nobody watches the full training video. Golpo converts your PDFs and docs into short whiteboard explainer videos with AI narration, betting that animation and a human voice can make boring content actually consumable.
Every developer has built a weekend project that works locally but would take three weeks to make production-ready. Modelence ships everything you need to skip the boilerplate and go live from day one.
Mining companies and civil engineering firms sit on mountains of scanned maps, plats, and surveys that nobody can query because they exist as PDFs and JPEGs. Monarcha uses vision AI to turn those documents into real spatial data in under ninety seconds.
Four founders from YC's Summer 2025 batch are building implantable microchips that track cattle biometrics in real time. The pitch: early disease detection, reproductive insights, and what they claim is the world's largest cattle health dataset.
Voice AI is eating the world, but the training data supply chain is still held together with duct tape and crowdsourced recordings of questionable provenance. Panels wants to fix that with 10,000 vetted contributors across 100+ countries.
Industrial distribution runs on faxes, phone calls, and sales reps manually keying quotes into ERPs that were built in the 1990s. Avent automates quoting and order entry so human sales teams can stop doing data entry and start doing relationship management.
Monitoring tools tell you something broke. Interfere tells you what broke, why it broke, and how to fix it before anyone files a ticket. That is a meaningfully different product.
AI models that generate speech and video need training data that sounds and looks like real humans. Liva AI collects it with consent, diversity, and production quality baked in from the start.
The DAW market has not had a real challenger in over a decade. GoRiff thinks AI can crack it open by making production faster for pros and accessible for everyone else.
800 million people use ChatGPT every week. Most businesses have zero strategy for showing up in those answers. Mimos thinks that is about to change fast.
Most agent-building platforms give you a drag-and-drop flowchart and call it easy. Okibi skips the visual programming entirely. You describe what you want your AI coworker to do in plain English and it builds the agent for you.
Pre-sales CRM is a solved problem. Post-sales is still a disaster of spreadsheets, tribal knowledge, and missed renewal signals. Paloma unifies contracts, consumption data, and customer context into one system that actually tells you which accounts are about to churn.
Behavioral health clinicians spend hours on documentation, utilization reviews, and compliance paperwork. Perspectives Health built AI agents that handle it automatically, and they are growing 25% week over week across 9 clinics.
Every sales engineer has experienced the empty-state demo disaster. Eden generates production-quality synthetic data on demand so your product looks like it has actual customers in it, without touching production databases or spending a week building seed scripts.
Every AI company has a GPU performance problem. Most solve it by hiring expensive kernel engineers. Wafer automates the entire workflow, from profiling to patching, and claims 1.5 to 5x speedups without anyone touching CUDA.
Building an AI agent is getting easier. Deploying one into production, with persistence, scaling, safety guardrails, and monitoring, is still a multi-week engineering project. Arcten wants to compress that into minutes.
Sales reps lose deals when they cannot answer technical questions on the spot. Aside listens to live calls and surfaces answers from docs, Slack, and past winning calls in under a second.
LiDAR sensors cost thousands and add complexity to every robot that needs to see. Efference thinks stereo cameras plus learned algorithms can replace them at a fraction of the price.
Every AI company needs human annotators but finding, vetting, and managing them is a nightmare. Fixpoint automates the entire pipeline from sourcing to quality control.
Google is no longer the only search engine that matters. ChatGPT, Perplexity, Claude, and Gemini are sending real traffic to real websites. Bear tracks where your brand shows up in AI recommendations and helps you show up more.
Internal tooling is a graveyard of good intentions. Mantle connects your CRM, email, calendar, and payments, then lets you spin up agents with a single natural language prompt. No code, no workflow builders, no six-week implementation.
AI customer support is a crowded category. Minimal AI is winning in e-commerce by letting store owners train agents in plain language and actually execute actions, not just answer questions.
You have had hundreds of AI conversations that disappeared into the void. Nessie imports them all, organizes them into searchable knowledge, and lets you share curated AI brains with others.
Your financial life is scattered across a dozen apps that do not talk to each other. Selfin wants to unify all of it into one AI-native banking experience that actually gives you personalized advice.
Job applications are broken. Sorce lets you swipe on jobs like dating profiles and sends an AI agent to fill out the applications for you. Over 700K users and 20 million swipes say the idea works.
Every parent wants their kid to spend less time gaming. Aleph Lab is betting on the opposite: what if the gaming itself was the classroom? Their AI buddy teaches kids English inside Minecraft, and the linguistics research says it might actually work.
The accounting industry is a $900 billion market built on rules and judgment calls. Cranston AI thinks both of those things can be automated. Their AI coworker plugs into QuickBooks, NetSuite, and Xero to handle reconciliation, tax compliance, and financial analysis. The question is whether accountants are a bottleneck or a moat.
The no-code web app space is crowded. Fastshot thinks the real gap is mobile. Describe your app in plain English, get a production-ready React Native build for iOS and Android. The question is whether that gap stays open long enough.
Retail investors already trade on tweets. Freeport Markets wants to formalize that by building an AI layer that turns social media noise into structured trade signals, with pre-IPO equities and tokenized assets built into the platform.
Law firms bill $300 to $600 an hour for junior associate work that is mostly document review and contract analysis. Lexi has processed 135,000+ documents across 7,000+ cases and claims to save lawyers 10+ hours per week. The pitch is not replacing lawyers. The pitch is replacing the work that makes lawyers miserable.
Every AI assistant lives in a browser tab. Logical thinks that is the wrong model. Their desktop copilot watches what you are doing across apps and proactively helps without being asked. It is the Clippy pitch done right: context-aware, privacy-first, and actually useful. The question is whether people want an AI that is always watching.
Healthcare billing teams spend most of their day on hold with insurance companies, checking claim statuses one by one. LunaBill built AI voice agents that make those calls for them. $764K in contracted ARR, 50,000+ calls automated, and a 100% pilot-to-paying conversion rate. This is not a demo. This is a business.
ZoomInfo and Apollo own the enterprise contact database. But if you sell to plumbers, roofers, and HVAC companies, those tools are basically useless. Nivara is building the data layer for selling to local businesses.
GPU costs are the single biggest line item for most AI labs. SF Tensor claims it can cut those costs by up to 80% by automatically sourcing cheap GPUs across providers and optimizing kernels for any hardware. Three brothers, all CS graduates before turning 20, are betting that vendor lock-in is the real bottleneck in AI research.
Coding agents can write code. They cannot deploy it. Specific gives agents a cloud platform where they can spin up databases, configure secrets, and ship to production without a human touching the infrastructure.
Voice assistants have been promising to replace your keyboard for a decade. Caddy is the first one built by people who actually understand productivity software, and it shows.
Vibe coding means waiting for AI to generate your code. Clad Labs figured out that developers spend that dead time on social media anyway, so they built social media into the IDE. It is either genius or an abomination.
Internal audit is a $15 billion industry built on spreadsheets and manual checklists. Denki wants to automate 99% of it with software and keep just 1% as services. That ratio tells you everything about their ambition.
Seventy percent of Fortune 500 companies still run mission-critical systems on COBOL. The engineers who built them are retiring. Hypercubic is racing to capture their knowledge before it walks out the door.
Every AI agent forgets everything between sessions. Hyperspell builds the memory layer that connects agents to Slack, Gmail, Notion, and Drive so they actually know who you are and what you are working on.
AI agents are about to start spending money. Locus is building the payment rails that let them do it safely, with spending limits, escrow, and audit trails. This is infrastructure that does not exist yet.
Nursing facilities waste billions on lost, broken, and over-rented medical equipment every year. Norra uses physical trackers and AI agents to fix the problem, and one facility already cut rental costs by 70 percent.
Enterprise codebases are too big for anyone to understand. Sourcebot gives both humans and AI agents the ability to search, query, and reason across millions of lines of code without sending anything off-premises.
Building ML models still requires a team of specialists, months of iteration, and a GPU budget that would make most startups cry. Thesis thinks AI agents can compress that entire process into something one researcher can do in an afternoon.
Factory quality inspection has been stuck between expensive custom vision systems and generic models that do not understand production lines. Allus AI built a billion-parameter foundation model trained on 1.5 billion industrial data pairs, and it is already running on five Fortune 500 production lines with 99.95 percent accuracy.
Making one good TikTok ad takes hours. Making fifty takes a team. Bluma reverse-engineers viral video ads into reusable templates and generates variations with AI. The approach is aggressive, the technology is smart, and the market for short-form video production tools is wide open.
Commercial insurance brokerage is a $100 billion industry where producers spend more time filling out forms than closing deals. Casey automates the entire submission process, from intake to carrier applications, so brokers can focus on what actually makes money: relationships.
AI video generation has been a party trick for two years. Flick is the first tool I have seen that treats filmmaking as a craft problem, not a prompt problem. An infinite canvas, multi-model orchestration, and 20 film festival awards suggest they are onto something real.
Voice agents and chatbots need fast retrieval. Like, really fast. Moss built a Rust and WebAssembly search runtime that runs locally on any device and returns results in under 10 milliseconds. No database server, no network hop, no excuses. Grammarly and HubSpot are already customers.
Building a data center or factory means navigating hundreds of permits across dozens of agencies. Nerviom automates the entire regulatory maze with AI, cutting timelines that used to take years down to weeks. The market is massive, the pain is real, and the timing could not be better.
Product demos are the bottleneck in every SaaS sales funnel. Primer built an AI agent that delivers personalized walkthroughs 24/7, and Figma, Gamma, and Lovable are already using it. That customer list tells you this is not vaporware.
Pharmacies are drowning in phone calls about prescription refills. Remedy is building AI agents to handle the repetitive operational work so pharmacists can do what they were trained for: patient care. It is a brutally simple pitch for a brutally underserved market.
Everyone is racing to generate code faster. Scott AI is the rare product that wants you to slow down first. Spec before codegen. Debate before commit. It sounds counterintuitive until you realize how many production fires start with 'nobody reviewed the architecture.'
Property appraisals take days, cost hundreds, and still rely on a human squinting at comparable sales. Automax.ai does it in under 20 minutes with LiDAR and computer vision, fully GSE compliant.
If you have ever tried to run three coding agents in parallel on the same machine, you have hit the port clash wall. Coasts fixes that with localhost isolation per git worktree, and it is free.
Social media became more media than social. Digipals is building an AI-powered group chat that actually coordinates in-person hangouts by handling restaurant reservations, bill splitting, calendar wrangling, and all the logistics that kill spontaneous plans.
Annual pentests are a compliance checkbox, not a security strategy. Veria Labs replaces them with AI agents that hack your application continuously, prove exploits are real, and suggest fixes. The founders are ranked number one in US competitive hacking, which is exactly the kind of credential that makes this believable.
The US is short 400,000 welders and the gap is getting worse every year. Forge Robotics gives industrial welding robots computer vision and real-time 3D mapping so they can weld autonomously without manual programming. First-pass yield goes from 90% to 99%.
Medicare's remote care management programs are worth billions, but most providers can't afford the staff to run them. Kaigo Health uses AI phone calls to automate patient check-ins at scale, turning a labor-intensive compliance exercise into a revenue machine.
Kubernetes incident response is a nightmare of runbooks, alert fatigue, and 3 AM pages. Kestrel AI deploys agents that find root causes and generate production-ready fixes automatically.
Police and military radio is still a mess of garbled transmissions and manual note-taking. Lakonia transcribes, identifies speakers, and extracts actionable intelligence from radio traffic in real time. No cloud required.
Duolingo turned language learning into a game. Parrot wants to turn it into a feed. Short-form video content built on Comprehensible Input methodology, with power users spending 6 hours a week on the platform. The founders tested 52 language apps before building their own.
A million data points per game. Automatic play tagging. A transfer portal database with 2,400 players. PlayVision is turning game film into searchable, queryable intelligence for basketball programs that cannot afford a full analytics department.
Home renovations are expensive, unpredictable, and full of information asymmetry. Brickwise applies AI to property management and maintenance, giving landlords and property managers tools that automate the most painful parts of keeping buildings in shape.
Claybird automates outbound sales for commercial service contractors. AI agents scan permits and directories, identify target businesses, and send personalized emails and calls to decision-makers.
Property management is one of the most operationally painful businesses to run at scale. Keet automates the tenant communication, maintenance coordination, and leasing workflows that consume property managers' entire days.
LiveBench releases new benchmark questions every month so AI models cannot memorize the answers. Eighteen tasks across six categories, all with verifiable ground-truth answers. No LLM judges. No stale data.
Patent Watch automates the miserable work of tracking competitor patent filings. Upload your portfolio, and their AI scans 160 million patents to find who might be stepping on your claims.
Tusk is an AI agent that reads your Jira tickets, understands your codebase, writes tests, fixes UI bugs, and opens PRs. It does the work that every engineering team knows is important but nobody wants to do.
Narrative builds AI that turns raw game footage into polished sports highlights automatically. If you run a broadcast operation with a room full of editors cutting clips at 2 AM, this product is coming for that workflow.
Finance teams spend half their time logging into clunky ERP systems and doing the same reconciliation tasks over and over. Zalos deploys AI agents that do the clicking, the matching, and the uploading so humans can stop being data-entry robots.
Tax research is the worst part of accounting. Basil is building an AI that reads the tax code so your CPA does not have to spend three hours confirming what they already suspected.
Chat interfaces had a good run. Cove is betting that AI collaboration works better on a canvas where you can see your thinking laid out spatially, not buried in a scrolling thread.
AI agents are everywhere and nobody can tell you why they broke. Fernstone gives developers tracing, evals, and cost tracking for autonomous AI systems so you can actually debug the thing before your customer does.
Fifth Door wants to turn everyone into a game designer. Their AI platform lets you create, distribute, and play games with friends using natural language and imagination instead of Unity tutorials and C# nightmares.
Most AI companies want to replace your brain. Helix AI wants to make it work better. Their independent research studio is building grounded AI systems and agentic workflows that augment judgment instead of overriding it.
Expense reports are the cockroaches of corporate life. Nobody likes them, nobody has killed them. Koda uses AI to auto-categorize spending, flag anomalies, and give startup founders a clear picture of where money goes without the spreadsheet misery.
Immigration compliance is a disaster of forms, deadlines, and edge cases. Mayflower plugs into HR systems to automate screening, classify visa pathways, and generate attorney-ready documents before the paralegal finishes their coffee.
Redapto monitors customer support interactions across chat, voice, and email, detects quality issues, and automatically updates training materials and knowledge bases. Built by ex-Coinbase and ex-Amazon AI engineers.
Insurance claims adjusting is slow, manual, and expensive. Willow Labs is building AI agents that investigate claims, analyze evidence, and recommend payouts so adjusters can handle ten times the caseload.
What if you could run a 10,000-person survey in an hour for pennies? Expected Parrot is building the tooling to simulate human research subjects with AI agents, and the implications for market research, product development, and social science are wild.
QR codes are everywhere and they are all ugly. Glyph uses AI to generate QR codes that double as art, and the 5,500 images already created suggest the market agrees that this is a problem worth solving.
Most AI agent platforms give you a chat window. Helix gives each agent a full GPU-accelerated 4K desktop with a browser, terminal, and filesystem. It is a fundamentally different architecture and I think it is the right one.
Lessen processes 3 million work orders a year across 280,000 properties with a 4.8 out of 5 satisfaction rating. They are not a startup. They are a quiet giant in property maintenance, and the AI layer they are adding could make them dominant.
Accounts payable is one of those back-office functions that everyone hates and nobody has fixed properly. Mod AI is running the entire invoice-to-payment workflow with a single AI agent. At $2,999 a month, it better be good.
Every company has the same problem: critical knowledge is scattered across Slack, Drive, Confluence, and the heads of people who left two years ago. Onyx connects an AI assistant to all of it and lets you actually find answers. And the whole thing is open source.
Creative automation for marketing teams sounds like the future until you realize how many startups have said that exact sentence. Pulp is early, the landing page is thin, and the question is whether the product behind it justifies the ambition.
The AI customer support space is brutally crowded. Sona is betting that e-commerce specificity and high resolution rates will carve out enough room to matter. The numbers are bold. The question is whether they hold up under real volume.
Business intelligence has been promising self-service analytics for fifteen years and mostly delivering dashboards that nobody updates. Scoop takes a different approach: connect your data warehouse, ask a question in plain English, and get an AI that actually investigates the answer.
Hardware companies have a support problem that software-first helpdesks were never built to solve. Telemetron connects AI directly to devices, diagnoses issues in real time, and resolves tickets before a human ever needs to get involved.
Most customer support waits for tickets. Return Signals texts customers after delivery, and 61% of them text back. Those are not normal response rates.
Healthcare data is fragmented across dozens of systems that do not talk to each other. Eos AI harmonizes it all into something clinics can actually use.
LegalOS studied 12,000 successful petitions to build an AI-native immigration law firm that delivers visa applications in as fast as 48 hours.
Bubble Lab deploys Pearl, an AI agent that lives in Slack, connects to your SaaS tools, and handles the ops work your team keeps putting off.
Cajal builds superhuman AI mathematicians that discover and verify proofs using Lean, targeting quantum computing and finance where mathematical certainty is not optional.
Training robot policies in the real world is slow, expensive, and bottlenecked by hardware. One Robot builds simulations that look real and behave real so you can iterate without the robot.
Ditto Bio uses AI to identify proteins from viruses, ticks, and worms that naturally suppress immune responses, then engineers them into therapeutics for rheumatoid arthritis, IBD, MS, and type 1 diabetes.
Sonarly connects to your monitoring stack and turns noisy alerts into root-cause analysis and ready-to-merge pull requests. It is trying to be the on-call engineer that never sleeps.
Polymath builds complex multi-tool environments for training AI agents through reinforcement learning. Their Horizon-SWE benchmark tests what happens when you ask AI to do real work across real tools over long time horizons.
Medspas run on five different tools that don't talk to each other. Tepali replaces all of them with one AI-powered system that handles scheduling, payments, documentation, and lead conversion.
Private market investing runs on Excel. Alt-X wants to be the AI agent that builds, checks, and maintains the financial models that underwrite trillions in real estate and private equity deals.
AI agents like OpenClaw can do almost anything, including leak your SSN, execute malicious code, and fall for prompt injections. Clam puts a semantic firewall around them to stop the bad stuff.
CodeWisp turns plain English prompts into playable web games. 17,000 games created so far, 2,000 weekly active creators, and a growing community that looks more like Roblox than a code editor.
Workers' comp cases drown in paperwork. Docura Health uses AI to turn thousands of pages of medical records into compliant reports, chronologies, and impairment ratings in under five minutes.
Lexius adds an AI layer to existing security cameras that detects shoplifting, slip-and-fall incidents, and known offenders in real time. No new hardware. Clients include 7-Eleven, Erewhon, and Prada.
Librar Labs is building self-healing data infrastructure that turns fragmented library records into agent-ready systems. Their school library product reportedly doubles student reading rates.
Oxus automates the tedious parts of internal auditing for pre-IPO and public companies. Scoping, flowcharts, control testing, and workpaper generation that used to take days now takes minutes.
Supply chains still run on spreadsheets and email. Pollinate automates procurement workflows, starting with three-way invoice matching, using AI agents that work on top of existing ERP systems.
Resonate is rebuilding messaging from scratch with AI at the center. The first product is a voice messaging app currently in private beta on iOS, with an agentic video platform in the works.
BeeSafe deploys AI agents that engage with scammers directly, wasting their resources and uncovering the financial accounts used for fraud. Backed by YC, Obvious Ventures, and America's Seed Fund.
Electrical contractors spend hours counting outlets, switches, and fixtures on floor plans by hand. Bidflow does it with computer vision at 95-99% accuracy, 20x faster, and 70% cheaper.
Carson combines deep prospect research, branded deck generation, and plain-English workflow automation in a desktop app built by ex-Palantir engineers who take data security as seriously as their former employer did.
Martini replaces prompt-only workflows with real camera controls for AI video generation. Position your camera, pick your lens, compose your shot. Over 200 films created, with content airing as TV commercials.
AI can see and understand the physical world, but building real-time vision applications is painful. Overshoot provides the infrastructure so developers can build security, safety, robotics, and consumer vision products without reinventing the stack.
96% of oncology trials fail, often because the right patients were not selected. Strand AI uses foundation models to predict missing biological data, rescuing incomplete patient cohorts and surfacing hidden biomarkers.
Video editors spend 3x more time organizing footage than actually editing. Wideframe indexes footage by meaning, responds to natural language, and outputs native Premiere Pro projects.
Aircraft maintenance technicians spend more time on paperwork than on planes. Zymbly is an AI copilot that handles troubleshooting, parts lookup, and documentation with aviation-grade security.
B2B SaaS companies know partnerships matter but cannot prove it with numbers. Arzule uses probabilistic models to quantify how much revenue flows through partner relationships, shared customers, and co-selling.
Ashr generates synthetic user journeys across voice, text, images, and tool calls to test AI agents before they hit production. Prompt versioning with inline diffs shows you exactly what changed and why it broke.
Commercial insurance still runs on a human API of brokers chasing email threads and re-keying data. Panta uses AI agents to automate the entire back-office, delivering 10x faster results with a 99% placement rate across 100+ carriers.
Sila is building a team messaging platform where AI agents are not add-ons but native participants. Custom agents with dedicated roles sit in your channels, talk, listen, and work alongside your team.
AI agents need to spend money. Sponge lets them hold funds and transact autonomously using bank accounts, cards, and crypto, with budget limits and domain whitelisting to keep things under control.
Most AI training data has clear right answers. Traverse focuses on the hard part: capturing how humans make subjective decisions in law, healthcare, sales, and writing to train models that need judgment.
Verdex replaces manual crop inspections with satellite-based digital audits. They already help insure over 11% of all American farmland, partnering with major crop insurers managing 100+ million acres.
21st.dev started as the largest React component registry for AI apps with 1.4M developers. Now they are building a full SDK for deploying AI agents with built-in UI, memory, observability, and sandboxed execution.
Large electricity consumers like data centers and industrial operations overpay for power because they lack visibility into their consumption patterns and hedging options. Condor gives them an AI-powered operating system for energy strategy.
Mortgage origination is drowning in paperwork. Copperlane's AI agent Penny handles document collection, verification, and borrower communication 24/7, so loan officers can focus on closing deals.
Menza connects to Shopify, Klaviyo, ad platforms, and 650+ other tools so any team member can ask questions in plain English. 100% customer retention since April 2025 and 234% MRR growth since January 2026.
Most fraud tools stop at detection. MouseCat goes further, running end-to-end investigations, extracting features from unstructured data, and converting findings into production-ready rules. Founded by ex-AWS AI and ex-Coinbase engineers.
RunAnywhere provides an SDK for deploying AI models on iOS, Android, and edge devices. Their MetalRT engine runs 1.67x faster than llama.cpp on Apple Silicon. 10K+ GitHub stars and growing.
Hardware companies spend weeks coordinating parts orders across suppliers. Reframe uses AI agents that understand your build matrix, coordinate waterfall schedules, and negotiate pricing automatically.
Vector Legal gives startups both an AI platform for legal operations and an actual lawyer. VectorOS handles AI drafting, health checks, and contract intelligence. The law firm handles everything else.
CellType uses biological foundation models to simulate human biology and run the full drug discovery pipeline with AI agents. Their core technology, developed with DeepMind and published at ICML, has already validated a novel cancer treatment signal.
MochaCare combines AI tools with human virtual assistants to run hiring, scheduling, and client intake around the clock for home care agencies that are too busy keeping patients alive to keep up with their own back office.
APIs were not built for agents. Orthogonal gives developers and AI agents instant access to hundreds of APIs through MCP or SDK with pay-as-you-go billing. No API key management, no billing headaches.
Current computer-use agents are slow because they screenshot, think, click, repeat. RamAIn pre-trains agents on specific interfaces to bypass that loop, deploying desktop automation in days without RPA specialists.
Sitefire identifies the content that makes AI agents like ChatGPT and Gemini recommend your brand, then synthesizes AI-optimized web pages ready to publish. Traditional SEO is not enough when your customers ask AI for answers.
Unisson builds AI subject-matter experts that learn any B2B product in twenty minutes and then handle customer deployments, implementation questions, and technical support across Slack, email, and text.
Recruiters spend 43.5 hours per month coordinating interviews across candidates, hiring managers, and panelists. Vela handles the scheduling, follow-ups, and timezone juggling across email, SMS, WhatsApp, and Slack.
Arcline provides AI-native legal services for startups with same-day turnaround, using AI to handle 80% of the work so founders pay elite lawyers only for the final 20% that requires human judgment.
Cumulus Labs is a serverless GPU inference provider claiming 12.5-second cold starts and scale-to-zero pricing, positioning itself as faster than Modal and cheaper than RunPod for teams running AI models in production.
Hex Security builds AI agents that run continuous penetration tests against your apps and infrastructure, replacing the once-a-year pentest with an always-on attack simulation that finds vulnerabilities before real attackers do.
Mendral is an AI DevOps engineer built by the people who wrote Docker's first lines of code, and it automatically diagnoses CI failures, catches flaky tests, and opens pull requests with fixes before your team even sees the red build.
o11 integrates directly inside Microsoft PowerPoint, Excel, Word, and their Google equivalents, letting users automate workflows from slide decks to financial models without ever leaving the application they are already working in.
Opalite Health replaces traditional medical interpreter services with AI-powered real-time translation that is available instantly, 24/7, and built to work inside existing clinical workflows without delaying patient care.
Scheduling Wizard automates physician and resident scheduling for hospitals, replacing the grueling manual process that chief residents and program directors endure with software already trusted by Johns Hopkins and Mass General Brigham.
Salus is an API that wraps around AI agents to inspect and block incorrect actions before they execute, preventing the kind of costly mistakes that evals and observability tools only catch after the damage is done.
Squid is building a browser-based workspace for electricity grid planning that replaces the spreadsheets and legacy tools utility companies use to model, stress-test, and plan the power networks that keep everything running.
Superset is a free, open-source terminal app that orchestrates multiple AI coding agents in parallel, each running in isolated Git worktrees, so developers can delegate ten tasks at once without agents stepping on each other.
Datost is an AI data analyst that lives in Slack, connects to your databases and data lakes, and lets anyone on the team query, debug, and analyze data right where they already work, without writing SQL or waiting for the data team.
Arga Labs provides sandbox infrastructure with fully functional mocks of external services so you can validate code changes and AI agent behavior at scale without risking production data or hitting real APIs.
ScienceSwarm is a collaborative research platform where AI agents and human researchers work together on unsolved problems across math, physics, biology, chemistry, and engineering, compressing months of preparation into hours.
Lamina Labs builds Pictor, an AI video generation tool that creates mathematically precise educational animations from a text prompt in under eight seconds, with zero hallucinations and zero approximations.
Manicule is a documentation agency that uses AI agents for code verification and auditing at machine scale while human writers handle strategy and quality, already at $15K MRR with clients like Greptile, Reducto, and Rootly.
qomplement builds AI agents that take messy data from various sources and accurately fill out the internal PDF forms and spreadsheet templates that enterprise teams actually use every day.
Primitive is building the communication infrastructure that fully autonomous agents need to interact with the outside world, handling the email, messaging, and notification layers that agents cannot currently access on their own.
Harbor replaces legacy electronic data capture systems for clinical trials with an AI-powered platform that builds itself from your protocol in ten minutes, captures data from source documents automatically, and handles compliance out of the box.
Zolvo automates reconciliation, verification, collections, and reporting for commercial lenders, replacing the spreadsheets and legacy software that back-office teams use to service billions in loan portfolios.
Arzana automates front-office operations for manufacturers and distributors, handling quoting, order entry, customer service, procurement, and sales at prices that undercut building an in-house team by thousands of dollars per month.
Asendia AI automates the entire recruiting pipeline for staffing agencies with AI agents that source candidates from 4,000+ databases, conduct video and phone interviews in 13+ languages, and deliver ready-to-hire shortlists in hours instead of weeks.
Bujo AI builds voice and chat agents for sales and customer support at large B2C enterprises, founded by a two-time YC founder who previously built self-driving car technology that was acquired.
Korso automates the full quote-to-order workflow for manufacturers, processing incoming RFQs from email and WhatsApp, extracting line items, generating professional quotes, and tracking purchase orders through production.
Minicor builds self-healing desktop automation that uses AI computer-use agents to operate legacy software like EHRs and ERPs that have no API, running on Windows VMs with video replay and automatic adaptation when UIs change.
Ontora is an AI process mining platform that connects to your CRM, email, documents, and conversations to automatically map how work actually happens, identify bottlenecks, and generate actionable insights at a fraction of the cost and delay of management consultants.
Replicas lets engineering teams delegate tasks to AI coding agents that run in sandboxed VMs with full development environments, accessible from GitHub, Slack, Linear, or a web dashboard, and reportedly shipping over 30% of pull requests for some teams.
Tidy is a personal AI assistant that lives in your iMessage and Slack conversations, where you can teach it to use any app or website and then trigger those custom automations with a text message whenever you need them.
Tsenta is a desktop app that finds jobs matching your skills, optimizes your resume for each application, and applies in parallel across 12+ platforms including Workday and Greenhouse, all running locally on your machine with real-time visibility.
