Safeworld aims to ensure safety of generative AI robots

Safeworld, a new startup founded by Dr. Ding Zhao, Kyle Wong, and Simo Rachidi, is seeking to address the safety challenges of generative AI robots. The company has raised over $12 million in seed funding, led by Shine Capital and a16z Speedrun, with additional support from Box Group and Carnegie Mellon University. Zhao emphasizes the need for both risk evaluation and trust in deploying robots, noting that generative AI systems are inherently unpredictable. Safeworld uses simulations with realistic human models to test robotic control systems, akin to the challenges faced by companies like Tesla and Wayve. The team argues that robots operating in unstructured environments require rigorous testing to prevent collisions and ensure safety in diverse scenarios. Vishal Dugar of Gritt Robotics, a partner of Safeworld, highlights the difficulty of formally proving safety through mathematical models, advocating for empirical testing. The company is still determining its business model but aims to be the first profitable entity in the field by providing safety validation services for robot developers.