Saferobots
Saferobots provides an AI-enabled safety and quality engineering platform that helps robotics teams model their systems, identify binding regulations, and generate comprehensive safety cases. The platform automates scenario mapping, hazard analysis, and standards compliance, with continuous traceability from regulatory clauses to code and tests. It serves teams deploying delivery robots, industrial robotics, and automotive ADAS.
- Regulatory & Compliance Technology
- Robotics
- Artificial Intelligence
- Software Only
Funding
Founders
Founder details are not available yet.
Product
Problem
Robotics teams deploying fast often lack the rigorous safety and quality engineering processes used in regulated industries, leaving them vulnerable to undetected hazards, unmapped scenarios, and incomplete evidence when customers, regulators, or insurers ask how safety and liability were handled.
Solution
Saferobots provides an AI-enabled safety and quality engineering platform that helps robotics teams know their requirements early and build with regulatory rigor. The platform lets teams create one living model of what the robot senses, does, and operates in, then runs regulatory analysis, scenario mapping, hazard analysis, risk modeling, and standards compliance on top of that model. It generates every scenario a robot can meet, identifies which regulations bind at federal-to-city levels, and traces each claim from clause to part to code to test. When a part changes, the model shows what it unsettled and regenerates the safety case automatically, ensuring evidence is always ready for audits, customers, and insurers.
Target Audience
Primary customers are robotics teams deploying delivery robots, industrial robotics, and automotive ADAS, as well as safety and system validation engineers who need regulated-industry rigor without slowing down deployment.
Features
- System modeling that captures what a robot senses, does, and operates in as a single living model
- Regulatory analysis that reads the entire regulatory stack from federal to city level and identifies which rules bind
- Scenario mapping that generates all possible situations a robot can encounter, measured for coverage
- Hazard analysis using STPA and FMEA with constraints, owners, and residual risk in one register
- Risk modeling that rates and rolls up residual risk into an auditable register with a supporting safety case
- Standards compliance engine that turns binding standards (UL 4600, ISO 26262, ISO 10218, ISO 21448, ISO 13849-1, ISO 3691-4, R15.06/R15.08, EU Machinery Reg. + AI Act) into testable requirements
- Continuous traceability from clause to part to code to test, with automatic regeneration of the safety case when anything changes