Safeworld Raises $12M to Address Safety in Generative AI Robots

Safeworld has raised $12 million in seed funding to tackle safety challenges associated with generative AI robots. The funding round was led by Shine Capital, with participation from a16z Speedrun, Box Group, Carnegie Mellon University Endowment, Innovation Endeavors, and SV Angel. Co-founders Kyle Wong and Simo Rachidi aim to establish industry safety standards as generative AI technologies are increasingly deployed. Dr. Ding Zhao, director of the Safe AI lab at Carnegie Mellon University, emphasizes the complexity of evaluating the safety of probabilistic systems, stating, "A lot of people are underestimating how hard some of these edge cases are going to be to solve." The company has run thousands of scenarios in simulations to assess robot safety, highlighting the empirical approach necessary for developing reliable standards. Jonathan Lai from a16z Speedrun asserts that the time to build these safety standards is now, as robots are being designed and deployed. Vishal Dugar, CTO of Gritt Robotics, notes that establishing safety protocols must be done empirically. Dr. Zhao claims, "We’ll probably be the first profitable company in this field," indicating a strong belief in the commercial viability of their safety solutions.