TechTransfer.ai
From patent to license, with explainable AI doing the first pass
AI-assisted technology transfer with human review on the calls that matter
Patentability scoring and license term-sheet drafting that show their reasoning — so tech-transfer offices move faster without ceding judgment to a black box.
The problem
Technology transfer is a bottleneck by nature: university tech-transfer offices, startups, and industry partners face more disclosures and deals than they can triage quickly, and the early steps — judging patentability, drafting a first term sheet — are slow, expert-dependent, and easy to fall behind on. Speed matters, but the decisions are consequential enough that an opaque "just trust the model" tool is a non-starter for institutions accountable to inventors and the public.
The approach
TechTransfer.ai provides a patentability-scoring intake and a license term-sheet generator, built around explainable recommendations and a responsible-AI governance layer. The AI handles the heavy first pass — structuring an intake, surfacing a patentability signal, drafting initial license terms — while exposing why it reached a recommendation so an expert can check it. Human review is required on consequential calls; the system accelerates the experts, it doesn't replace their judgment.
The outcome
To confirm before launch: confirm: which components are live vs. in pilot, To confirm before launch: confirm: disclosures / intakes scored, To confirm before launch: confirm: term sheets drafted, To confirm before launch: confirm: turnaround-time change on first-pass review, To confirm before launch: confirm: pilot institution(s) or partners, if public.
What actually works
For high-stakes expert work, the winning pattern isn't automation — it's an explainable first pass an expert can trust enough to build on, with a human firmly on the consequential decisions.