Deploy autonomy safely and responsibly.
The safety testing and evaluation platform for robots working around people.
Deploy autonomy
safely and responsibly.
The safety testing and evaluation platform for robots working around people.
Robots are getting smarter. But the way we test and evaluate safety isn’t keeping pace.
- The most dangerous situations are the hardest to test safely.
- Human behavior creates a long tail of edge cases.
- Physical testing is slow, expensive, and difficult to scale.
Every software update and new environment can introduce new risks.
Safety has to keep pace with physical AI.
A modern way to assess the safety of AI-powered robots.
Test dangerous and unexpected situations in minutes without putting people at risk.
We provide modern safety testing and simulation tooling to help enterprises deploy robots safely and responsibly.
Map tests to relevant requirements and safety best practices, and bring engineering, safety, and operations teams together to guide deployment decisions.
THE PROBLEM
The real world refuses to stand still.
People move. Visibility breaks. Conditions change. One observed run cannot prove a system is safe.
THE SOLUTION
SafeWorld tests what the real world cannot.
01 GENERATE POSSIBLE PATHS
02 PREDICT INTERACTION RISK
03 PRESERVE THE EVIDENCE
FOUNDERS / ROBOT SAFETY
Ding Zhao
Scenario generation and robot safety.
Professor, Carnegie Mellon University · Director, Safe AI Lab · Formerly at Google DeepMind.
KYLE WONG · Founder-led sales, GTM, and customer trust. Exited founder and CEO of Pixlee ($20M+ ARR); CEO of Stanford StartX accelerator (120+ companies).
SIMO RACHIDI · AI/ML, agents, cybersecurity, and OOD events. Principal engineer, Salesforce Einstein Cybersecurity; founding engineer at Pixlee; former founder.
SCROLL TO RESOLVE
The safety testing and eval platform for companies deploying robots around people.
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