Pharma companies spend millions finding the right doctors to consult on drug development. G LNK thinks AI matching can replace the Rolodex-and-phone-call model that expert networks have relied on for decades.
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.
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.
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.
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.
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.
Noah Auerhahn's daughter was diagnosed with Rett Syndrome, a condition affecting 1 in 10,000 girls. He invested over $1 million in research, assembled a team with deep neuroscience expertise, and is now building a polytherapy strategy that could change how rare diseases get treated.
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.
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.
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.
Ambulance agencies run on paperwork. Patient care reports, billing codes, compliance reviews, liability checks. Amby Health wants to automate all of it so medics can focus on keeping people alive.
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.
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.
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.
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.
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.
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.
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.
Healthcare organizations are deploying AI agents without any centralized way to manage them. Wedge wants to be the operating system that deploys, governs, and scales those agents across entire health systems. I think they picked the right problem at the right time.
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.
A primary care clinic processes hundreds of referrals a day, and every single one involves phone calls, fax machines, prior auth forms, and follow-up chasing. Locata automates the entire loop. They signed a major health center in two weeks and saved them 100+ hours in the first month. That is not a pitch deck claim. That is a live deployment.
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.
Dental offices spend thousands each month ordering supplies from multiple vendors with no easy way to compare prices. Alara aggregates suppliers into a single cart with real-time price comparisons.
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.
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.
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.
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.
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.
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.
Mosquitoes kill more humans than any other animal on Earth. The current solutions are chemical sprays that poison everything else too. Tornyol is building autonomous micro-drones that hunt mosquitoes individually, and they claim it is 100x cheaper than what exists.
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.
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.
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.
Most AI health apps are chatbots with a stethoscope icon. Prana is trying to be a full-stack medical provider that catches the things your annual physical misses.
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.
Medical billing is broken. Providers lose billions to denied claims and slow collections. Overdrive Health uses AI to get them paid more money in less time.
Rubric AI builds the human and computational layer that converts expert judgment into training signals for frontier models, focusing on regulated industries like healthcare.
Beacon Health builds AI workers that plug directly into EHR systems to handle risk adjustment, preventive screenings, and prior authorizations so primary care physicians can focus on patients.
Mango Medical builds AI that transforms CT scans into complete orthopedic surgical plans in minutes instead of days, with an 8-figure LOI from a top orthopedic company and FDA 510(k) clearance in progress.
Patientdesk deploys an AI receptionist that answers patient calls around the clock, verifies insurance in real time, books appointments, and collects payments, all integrated with dental practice management software.
Fort is a $289 wearable that automatically detects exercises, counts reps, and provides muscle-level feedback for strength training, filling the gap that Whoop, Garmin, and the major wearable brands have ignored.
ClaimGlide automates the entire prior authorization process for medical practices, from initial submission to payer follow-up to denial appeals, including AI-generated appeal letters and automated phone calls to payers.
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.
Wayco automates medical case management for personal injury law firms, using AI to match plaintiffs with the right medical providers, analyze records, and accelerate settlement timelines.
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.
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.
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.
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.
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.
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.
Most break reminder apps treat RSI like a footnote. Zzzappy built the whole product around it.
