Solving the long tail of edge cases is the last barrier to deployment.
Even the industry's best-funded teams are surprised by failures from simple edge cases; proving that money and miles are not enough.
The gap between clean simulation and chaotic reality results in dangerous, unpredictable system behaviors that erode public trust.
The core challenge is no longer the 99.9%; it's the one-in-a-million compound failure that existing test libraries were never designed to find.
We Make the Unknown, Knowable.
We're building systematic approaches to discover these hidden failure modes before they reach production.
Our mission is to shift autonomy from statistical safety to cultural safety.
Current validation methods miss crucial unknown edge cases that end up causing real-world failures.