United States——

SafeWorld

AI lab selling simulation software that tests how robots behave around people in rare and dangerous situations.

About

SafeWorld provides safety testing and simulation software that runs robots through thousands of scenario variations with reactive human motion models, built in the browser from incidents, safety standards and robot logs. Co-founded by Carnegie Mellon safe-AI professor Ding Zhao with Kyle Wong and Simo Rachidi, it emerged from stealth on 5 October 2026 with a $12.2 million seed round co-led by Shine Capital and a16z speedrun.

Key stats

Latest funding: $12.2M Seed
Total funding: $12.2M
Latest valuation: —
Founded: —
Country: United States

Latest roundsAll rounds

Oct 5, 2026Seed$12.2M
Led by Shine Capitala16z speedrun Box Group Carnegie Mellon University Endowment Innovation Endeavors SV Angel

Recent newsAll news

Oct 5, 2026FundingSafeWorld leaves stealth with $12.2 million from Shine Capital and a16z speedrun to stress-test robots around people in simulation