Laplace Intelligence, an Ann Arbor-based startup, is building automated red-teaming technology for robotics and physical AI. This process involves stress-testing systems by intentionally trying to induce failures to identify weaknesses. The company's objective is to ensure the safety of physical AI agents, such as those in robots and self-driving cars, before they are deployed in real-world environments.
The initiative stems from concerns about the unpredictable nature of AI agents, particularly as they transition from software to physical applications. Laplace Intelligence aims to prevent real-world failures by thoroughly testing these systems in simulated environments. This approach seeks to provide a foundation of evidence for customers, insurers, and regulators regarding the safety of physical AI.
Co-founders Howie Sun, CEO, and Henry Liu, chief scientist, established Laplace a year ago, originating from the University of Michigan. Sun's prior academic research focused on challenging autonomous driving AI in simulations. Their work, including a paper published in Nature, attracted interest from autonomous vehicle companies, leading to the development of Laplace Intelligence.
The company's core technology involves a high-fidelity simulation environment, reconstructed from real-world data, combined with an AI agent that continuously probes for vulnerabilities. This simulation environment utilizes a post-trained version of Nvidia's Cosmos.
Laplace Intelligence is one of 20 startups selected to compete in the Startup Battlefield 200 at TechCrunch Disrupt in San Francisco. The company is scheduled to present its technology on the Disrupt Stage.
✨ This summary was generated by AI from the outlets' reporting listed below. It is not independently verified and may contain errors — check the original sources. How BrevFeed works →
One email each morning: the day's tech stories, clustered across outlets and summarized. No account needed.
One email a day. Unsubscribe in one click, any time.
Spend a few minutes, get the whole day. Every topic's top stories in one hands-free rundown — listen, watch, or read the transcript.
▶ Play today's briefNew every morning, and the back catalogue is archived by date.
Laplace Intelligence, co-founded by Howie Sun and Henry Liu, is building automated red-teaming solutions for robotics and physical AI systems. The company aims to identify and fix potential failures in AI agents within high-fidelity simulations before real-world deployment, addressing safety concerns as AI moves into physical applications.
Laplace Intelligence, co-founded by Howie Sun and Henry Liu, is developing automated red-teaming solutions for physical AI systems like robots and autonomous vehicles. The company aims to identify and fix potential failures in simulation before real-world deployment, addressing the unpredictability of AI agents in physical applications.