Patent Watch Uses AI to Tell You When Competitors Are Filing Patents Behind Your Back

The Macro: Patent Monitoring Is a Full-Time Job Nobody Wants

I spent three years at a mid-size hardware company where we had exactly one person whose job was to read competitor patent filings. She would print out PDFs, highlight claim language, and try to match it against our own portfolio. She was brilliant at it. She also burned out and quit.

That is roughly the state of patent monitoring for most companies. The big players pay firms like Anaqua or Clarivate six figures a year to run watching services. Smaller companies either hire an expensive patent attorney to do periodic sweeps or they just ignore the problem entirely and hope nobody sues them. Neither approach is good.

The patent system generates a staggering amount of data. The USPTO alone publishes thousands of applications every week. Add in the EPO, WIPO, and national offices worldwide, and you are looking at a firehose of technical legal documents that no human team can comprehensively monitor. The traditional approach to this problem is keyword alerts. You set up searches for terms related to your technology and get a weekly digest of potentially relevant filings. The hit rate is terrible. You either cast too wide a net and drown in irrelevant results, or you narrow it too much and miss the filing that actually matters.

This is the kind of problem where AI should genuinely help. Patent claims are structured documents with specific language patterns. The relationship between a claim and a potentially infringing product is something that can be reasoned about systematically. It is not creative writing. It is pattern matching at scale, which is exactly what language models are good at.

Competitors in this space include PatSnap, which has raised over $300 million and built a sprawling patent analytics platform. There is also IPlytics (acquired by PTC), Orbit Intelligence from Questel, and Google Patents, which is free but primitive. The market is large and growing, but most existing tools were built before the current generation of AI and it shows.

The Micro: Two Brothers, 160 Million Patents

Patent Watch was founded by Alexander Stroe and Andreas Stroe, two brothers working out of Toronto. Alexander comes from a trading and advertising background. Andreas was a researcher at Philips. They are a four-person team that came through Y Combinator’s Fall 2025 batch.

The product does three things. First, it scans over 160 million patents from worldwide databases using semantic search to find filings relevant to your technology. Second, it performs automated infringement detection by interpreting patent claims and matching them against competing products. Third, it generates claim charts, which are the legal documents you actually need if you want to enforce a patent or defend against an infringement allegation. Patent Watch claims their AI produces these charts ten times faster than manual methods.

The pitch is straightforward: upload your patent portfolio, define your competitive landscape, and the system monitors new filings and flags potential conflicts. The demo-based pricing model suggests they are targeting enterprise customers and law firms rather than individual inventors.

What I find interesting is the claim chart generation. Most patent analytics tools stop at discovery. They will tell you a potentially relevant patent exists. But the actual legal work of mapping claim elements to product features is where the real time and money goes. If Patent Watch can automate even part of that process reliably, that is a meaningful product.

The Verdict

Patent monitoring is one of those categories where AI genuinely unlocks something that was previously impractical. No human team can read every patent filing worldwide and cross-reference it against a portfolio in real time. An AI system can at least attempt it.

The risk is accuracy. Patent law is precise. A claim chart that misidentifies a claim limitation is worse than useless because it can undermine your legal position. Patent attorneys will not trust AI output unless they can verify every step, which means Patent Watch needs to show its reasoning, not just its conclusions.

In thirty days, I want to see how law firms are reacting to the claim chart output. Are they using it as a starting point and editing, or are they throwing it away and starting over? In sixty days, the question is whether the monitoring alerts are actionable or just noise. In ninety days, I want to see a retention number from paying enterprise customers. If patent counsel at real companies are logging in weekly, this product has legs. If they tried it once and went back to their existing tools, the AI is not accurate enough yet.

The Stroe brothers picked a problem that is painful, expensive, and poorly served by existing solutions. That is usually a good sign. But legal tech is littered with companies that built impressive demos and then discovered that lawyers do not trust software with their professional liability on the line. Patent Watch needs to earn that trust one accurate claim chart at a time.