SafeWorld
SafeWorld provides a simulation-based safety testing and evaluation platform for enterprises deploying AI-powered robots in environments with people. The platform enables teams to validate autonomous systems against dangerous scenarios like pedestrian conflicts and static obstructions in minutes without physical risk, while mapping tests to safety requirements and best practices. It supports repeatable testing of robot human detection under occlusion and changing light conditions, helping engineering, safety, and operations teams make deployment decisions.
- Robotics
- Artificial Intelligence
- Software Only
Funding
Funding not disclosed
Founders
Founder details are not available yet.
Product
Problem
Robots are getting smarter, but the way they are tested and evaluated for safety is not keeping pace. The most dangerous situations are the hardest to test safely, human behavior creates a long tail of edge cases, and physical testing is slow, expensive, and difficult to scale. Every software update and new environment can introduce new risks that need to be validated.
Solution
SafeWorld provides a modern safety testing and evaluation platform for robots working around people. It simulates dangerous and unexpected scenarios—such as pedestrian conflicts and static obstructions—enabling teams to validate autonomous systems in minutes without putting people at risk. The platform offers repeatable tests that map to relevant requirements and safety best practices, helping enterprises deploy robots safely and responsibly. It brings engineering, safety, and operations teams together to guide deployment decisions, ensuring safety keeps pace with physical AI development.
Target Audience
Primary customers are enterprises deploying AI-powered robots in environments where people are present, including engineering, safety, and operations teams responsible for autonomous system deployment.
Features
- Simulation of dangerous and unexpected scenarios including pedestrian conflicts and static obstructions
- Repeatable test scenarios that can be run in minutes without physical risk
- Mapping of tests to relevant safety requirements and best practices
- Support for testing robot human detection under occlusion and changing light conditions
- Tools to identify false negatives in robot human detection and compare model versions
- Framework for turning robot risk assessments into repeatable tests, connecting hazards, requirements, results, and limits