“This scenario never existed in your training data.”
That's why we built TeraSim — infinite real-world edge cases, fully automated.
AVs often fail in rare scenarios that are trivial for human drivers — like a pedestrian running a red light or a vehicle stalling on an on-ramp.
These edge cases are precisely what make autonomous driving so challenging, yet they're nearly impossible to predict and prepare for using traditional methods.
Real-world testing is expensive and dangerous. Simulations rely heavily on hand-crafted scenarios, making them hard to scale and insufficient for uncovering unknown risks.
Current approaches cannot systematically discover the scenarios that matter most for safety validation.
At SaferDrive AI, we built TeraSim — a generative AI simulation platform that is realistic, automated, and scalable.
TeraSim systematically uncovers unknown unsafe events, simulates rare interactions, and generates sensor-level outputs — all from a natural language prompt.