What it sells
Agentic AI for intellectual property
Business model breakdown
Buyer: who owns the budget?
UnverifiedHeads of IP/patent litigation at law firms and corporate IP teams.
Trigger: what makes them buy now?
Patent matters (invalidity, infringement, FTO) that are capped by counsel cost and attorney bandwidth; time-pressured PTAB/IPR work.
Workflow: what inputs become what output?
Attorney submits a patent matter; agents search patents, scientific literature and archived web in parallel, read full-text patents and return a source-cited invalidity/infringement/FTO analysis in about 17 minutes that the attorney then adjusts.
Economics: what it saves and how it charges
Enterprise software sold to IP teams; claims defensible first answer in ~17 minutes and higher recall than general LLMs on a PTAB IPR benchmark. Raised $10.5M led by a16z (May 2026).
Distribution: how it reaches customers
Demo-led sales ("Book a Demo"); says trusted by 50+ IP teams including large IP firms and Fortune 500 teams.
Funding history and coverage
| Round date | Stage | Amount | Investors | Source |
|---|---|---|---|---|
| — | Y Combinator Winter 2026 | — | Y Combinator | ycombinator.com |
Profiles summarize public reporting and company websites. Business-model notes are MaxBC's reading of that material, not confirmed facts; unknowns are left blank rather than guessed. Updated 2026-10-12.