Safeworld raises more than $12M to test robot safety

Safeworld emerged from stealth with more than $12 million in seed funding to build simulation tests for AI-controlled robots around people. The company says its platform runs thousands of variations with realistic human motion, turning rare edge cases into repeatable pre-deployment checks; teams still need to test whether simulated failures predict behavior in physical settings. Its pitch extends the simulated-to-physical screening funnel that World Labs used in robot testing.