SafeWorld raises $12.2M to build robot safety simulation tools
SafeWorld, a startup from Carnegie Mellon University, emerged from stealth this week with $12.2 million in seed funding. The Oakland, California-based company aims to simplify safety testing for AI-powered robots by providing simulation technology that lets developers create and test rare, dangerous, or expensive scenarios without real-world risks. Its platform allows teams to build scenarios in…
Key points
- SafeWorld raised $12.2M in seed funding led by Shine Capital and a16z Speedrun
- Platform simulates rare, dangerous robot scenarios in browser without real-world risk
- Founders say safety testing should begin within a year of deployment for most companies
The founders, Kyle Wong and Ding Zhao, argue that as robots move beyond controlled environments into shared spaces with humans, traditional testing methods fall short. Wong, CEO, says most robotics companies—including publicly traded ones—should start safety testing within a year of deployment. SafeWorld’s customers span industrial, manufacturing, logistics, construction, and even home robotics. The company plans to use the funding to expand enterprise adoption, grow its team, and promote AI safety research, including open-source work.
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SafeWorld emerges from stealth to build, deploy robot safety simulation technologies
The Robot Report · 8 October 2026
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