Laplace Intelligence pitches automated AI red-teaming for robots and self-driving cars at TechCrunch Disrupt
Laplace Intelligence, an Ann Arbor-based startup spun out of the University of Michigan, is building automated red-teaming for physical AI such as robots and autonomous vehicles. It is competing in Startup Battlefield 200 at TechCrunch Disrupt. The product pairs a high-fidelity, real-world-grounded simulation with AI agents that probe for failure points and design corner cases, using sources such as news and police collision reports. The article cites the OpenAI-Hugging Face incident only as an illustration that AI agents can be unpredictable, and gives no details of it. This is business and product news with no vulnerability, attack, or threat actor activity described.
Technical Details
- The simulation environment is a post-trained version of Nvidia Cosmos, built from real-world data such as Google Street View imagery, map data, and real-time traffic information from providers like TomTom.
- Other actors in the simulation react interactively, for example by avoiding a collision with the test vehicle.
- Customers include Bot Auto and a major Japanese automaker. The company is also running a smart city pilot in San Jose with Nvidia and T-Mobile, and is in early talks with humanoid warehouse robotics partners.
- The main competitor named is Applied Intuition.
Linha do tempo
-
Laplace Intelligence pitches automated AI red-teaming for robots and self-driving cars at TechCrunch Disrupt
ler a análise desta fonte ocultar
Laplace Intelligence, an Ann Arbor-based startup spun out of the University of Michigan, is building automated red-teaming for physical AI such as robots and autonomous vehicles. It is competing in Startup Battlefield 200 at TechCrunch Disrupt. The product pairs a high-fidelity, real-world-grounded simulation with AI agents that probe for failure points and design corner cases, using sources such as news and police collision reports. The article cites the OpenAI-Hugging Face incident only as an illustration that AI agents can be unpredictable, and gives no details of it. This is business and product news with no vulnerability, attack, or threat actor activity described.
Technical Details
- The simulation environment is a post-trained version of Nvidia Cosmos, built from real-world data such as Google Street View imagery, map data, and real-time traffic information from providers like TomTom.
- Other actors in the simulation react interactively, for example by avoiding a collision with the test vehicle.
- Customers include Bot Auto and a major Japanese automaker. The company is also running a smart city pilot in San Jose with Nvidia and T-Mobile, and is in early talks with humanoid warehouse robotics partners.
- The main competitor named is Applied Intuition.