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Physical AI software · early
SafeWorld
Builds robot safety testing and simulation software: digital twins of real environments into which a customer's production robot software is injected and stress-tested against unpredictable humans (trips, falls, varied bodies). Uses Genesis and MuJoCo simulators. Aimed at enterprises deploying gen-AI robots. Early customer Gritt Robotics uses it to test AI for solar-panel installation machines. Co-founded by Carnegie Mellon Safe AI Lab director Ding Zhao.
HeadquartersOakland, US
FoundedNot listed
Corporate funding$12M
TeamNot listed
Deployments2
Open roles0
01
Company overview
Identity and operating footprint
Company typePhysical AI software
Market segmentCorporate
StageSeed
FoundersDing Zhao (Co-Founder), Kyle Wong (Co-Founder), Simo Rachidi (Co-Founder)
Regions servedUS
Countries deployedNot listed
Service footprintNot listed
Last reviewed2026-10-13
LinkedInView profile
XNot listed
DP
Deployment log
Announced and cited only
CA
Funding history
Publicly announced rounds
Seed
Shine Capital, a16z Speedrun, Box Group, Carnegie Mellon University Endowment, Innovation Endeavors, SV Angel
Round sourceInvestors on recordShine Capitala16z SpeedrunBox GroupCarnegie Mellon University EndowmentInnovation EndeavorsSV Angel
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Company timeline
Milestones and announcements
2026-10-05Emerged from stealth with $12.2M seed co-led by Shine Capital and a16z SpeedrunThe Robot Report
2026-10-05SafeWorld emerges from stealth with $12.2 million to develop robot safety simulation technology ↗Robotics and Automation News
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Source ledger
3 unique public sources
01
Safeworld emerges from stealth with $12.2 million to develop robot safety simulation technologyRobotics & Automation News · retrieved 2026-10-13
02SafeWorld raises $12.2M to test robots before they work around peopleRuntimeWire · retrieved 2026-10-13
03SafeWorld emerges from stealth to build and deploy robot safety simulation technologiesThe Robot Report