[CLSTR]
< Back to all clusters
[TECHNOLOGY] · United States · 5 sources

started · updated

Safeworld raises $12M+ to develop safety standards for AI-driven robots

robotics safety generative AI humanoid robots seed funding digital simulation

Safeworld, a robotics safety startup, has emerged from stealth mode following a seed funding round exceeding $12 million. The company aims to address the unpredictable nature of generative AI in robotic control by providing probabilistic safety assessments.

Led by Professor Ding Zhao, director of the Safe AI Lab at Carnegie Mellon University, Safeworld is developing a testing platform that utilizes digital simulations and human models. This approach allows developers to stress-test robots against thousands of realistic scenarios and rare failure cases before physical deployment, specifically targeting environments where humans and robots interact.

The funding round was supported by investors including Shine Capital, a16z Speedrun, 515 Ventures, and Umami Capital. The company is based in the Oakland and Palo Alto areas of California and intends to collaborate with the research community to establish industry safety standards for physical AI systems.

Entities

Carnegie Mellon University · Ding Zhao · Safeworld · Shine Capital · a16z Speedrun

Claims

What the coverage asserts, and how many sources carry each claim.

Sources

Safeworld: standard di sicurezza per robot con AI generativa [aidaily.webisland.net]
Safeworld: Seed-Runde für KI-Roboter-Sicherheit per Simulation [www.it-boltwise.de]
Minerva Humanoids raises $10 million to develop robots for dangerous industrial jobs [roboticsandautomationnews.com]
Safeworld exits stealth with $12M seed to stress-test robots around humans [cryptobriefing.com]
These Robots Built BMWs, Then Hurled Themselves Into Molten Steel [www.thedrive.com]