Tempero Scenario Intelligence provides a generative AI platform that turns plain‑language briefs into comprehensive automated‑driving test scenarios paired with formal safety properties. It automatically explores millions of parameter combinations, identifies vulnerable regions in the vehicle’s design space, and delivers both failing scenarios and a map of the underlying parameter space, enabling continuous, regulation‑aware validation of autonomous systems.
Funding
Funding not disclosed
Founders
Product
Problem
Validating autonomous driving systems requires exhaustive test scenarios that cover vast operating domains and align with evolving safety regulations. Engineers must manually create and parameterize scenarios, a process that is time‑consuming, error‑prone, and difficult to keep up with frequent software updates.
Solution
Tempero offers a scenario‑intelligence platform that converts plain‑language briefs into fully parameterized test scenarios and associated formal safety properties in open standard formats. The platform then performs optimization‑guided exploration of millions of parameter combinations, identifying regions where the autonomous system fails and producing a map of the underlying design space. Findings are linked to specific safety requirements, enabling continuous re‑verification after each software update and supporting evidence‑driven compliance with changing regulations. By automating scenario synthesis, exploration, and reasoning, Tempero reduces compute and licensing costs by up to 94% while delivering actionable failing cases and a comprehensive view of system vulnerabilities.
Target Audience
Primary users are validation engineers, safety analysts, and autonomous vehicle development teams who need efficient, regulation‑compliant testing of both classical and neural‑network‑based driving software.
Features
- Natural‑language brief ingestion that generates valid, parameterized scenarios and formal property specifications automatically
- Optimization‑guided search that explores millions of parameter combinations to locate failure frontiers across the design space
- Continuous re‑verification loop that re‑runs analyses after every software update, maintaining up‑to‑date safety evidence
- Regulation‑aware mapping that attributes each finding to specific safety requirements and adapts to evolving standards
- Export of scenarios and results in open standard formats for seamless integration with existing simulation and testing pipelines