What it sells
Insurance risk layer for physical AI
Business model breakdown
Buyer: who owns the budget?
UnverifiedAV developers' safety/validation leads and insurers or regulators needing risk quantification.
Workflow: what inputs become what output?
Quantifies risk for autonomous vehicles: builds crash-rate models and tools such as humanbaselines.com (human crash baselines for robotaxis and robotrucks), supporting validation, deployment and insurance decisions.
Economics: what it saves and how it charges
UnverifiedPublic benefit corporation; revenue model not stated (likely paid risk models/consulting to AV firms and insurers).
Distribution: how it reaches customers
Research-led: published papers and free public tool generate inbound; "Client login" and "Contact us" for engagements.
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.