10/21/2026
From real-world crash evidence to scenarios engineers can inspect.
When AI generates a traffic scenario, engineers need to understand where it came from, what was inferred, and what remains uncertain.
That is the focus of Evidence2Scenario (E2S), our automotive AI solution
E2S transforms fragmented accident records, reports, maps and images into structured, evidence-grounded scenario representations, designed to support automotive safety analysis and preparation for simulation-based validation.
Our approach focuses on three foundations:
🔎 Source traceability: connecting scenario elements to the evidence behind them.
📊 Explicit uncertainty: making missing information, ambiguity and confidence visible for engineering review.
🔗 Graph-grounded reasoning: using our Verbis Graph technology to organize relationships across heterogeneous sources and provide context for AI reasoning.
Our goal is to help teams build useful scenario catalogues, reduce manual preparation and identify situations that deserve further investigation and testing.
We welcome conversations with automotive engineering teams, research organizations and technology partners interested in joint funding and future evaluation or co-development.
