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Access 500 million km of real-world data
to verify autonomous systems safety
Resembler is a verification and deployment governance platform that allows cities, regulators and developers to verify automated systems using structured accident intelligence.
500 million km of real-world data
Human drivers are remarkably good at avoiding accidents - even when others make mistakes.
Resembler captures and models these human-level avoidance behaviors to help you measure how your AV or ADAS system performs using real-world data.
Through our unique A–B verification tests, you can directly compare your algorithm’s responses against real human data in identical traffic scenarios.
Four modules to verify autonomous systems safety
Automated mobility is deployed incrementally and under structured governance.
For a selected Operational Design Domain, the Resembler platform automatically generates a Verification Test Plan linking deployment parameters to Nominal Scenarios and real accident archetypes derived from over 500 million km of traffic exposure.
Vehicles initially operate under controlled conditions before transitioning into Monitored Deployment, where operational data and incidents are continuously evaluated against the approved safety baseline.
The platform provides a module to compare area of deployments ODDs, and a module to ingest public feedback (video).
Our Numbers
5
Years of Data
km Coverage
500,201,953
Europe, US and Asia
3
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