Patents are where the world's best ideas are written down, and also where they go to get buried. The system for searching them is slow, expensive, and decades behind. We co-led NLPatent's $3 million seed round to fix that.
NLPatent uses natural language processing and patent-tuned language models to do in seconds what used to take a specialist days: find the prior art that matters, monitor competitors, draft stronger claims, and assess infringement risk. Founders Stephanie Curcio and James Stonehill built it in Toronto for the people who live in this work every day, from leading law firms to Fortune 500 legal teams to universities.
Two forces are colliding: an explosion of AI-generated invention, and a patent system still running on keyword search. The companies that can move through intellectual property quickly will have a real edge, and NLPatent is building the tool that gives it to them. The round, which we co-led with Mighty Capital, funds expansion across North America and Europe and the move from assisting patent work to completing it.
“Our vision is an agentic platform that goes beyond supporting patent workflows to completing them.”
Stephanie Curcio, NLPatent
We back founders who pick hard, valuable problems that everyone else finds boring. The future of intellectual property is exactly that kind of problem, and we are glad to be early.
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