Ottometric

Ottometric develops a data-driven ADAS and autonomous vehicle validation platform that automates the verification and training process for advanced driver assistance systems, turning real-world sensor data into structured, prioritized, and traceable intelligence. The platform addresses the automotive industry's big-data challenges through a modular, end-to-end approach: data curation of petabyte-scale multimodal data for secure traceable data chains, an intelligence compute engine for orchestrating raw and derived intelligence, and modular application services for compliance, workflow automation, and continuous learning. Key capabilities include optimizing real-world data collection by focusing on high-value scenarios and edge-case patterns, distilling large-scale raw logs into scenario-tagged KPI-ready datasets, computing consistent decision-ready KPIs across releases and suppliers, orchestrating data across tools and teams with synchronized versioned assets, selecting high-value data for AI training with full traceability, and OttoViz, a purpose-built visualizer combining raw streams, scenarios, KPIs, and comments into shared program views. The platform supports GSR safety feature compliance and Euro NCAP 2026 workflows. Case studies demonstrate 6x faster ADAS validation at 50% lower cost (reducing effort from 18 FTE to 4 FTE) and ISA homologation processing reduced from 2-3 weeks to 2-3 days with 174% increased annual profit. Founded in 2018 and headquartered in Boston, United States, Ottometric has raised approximately $15.2 million at the Series A stage from investors including Rally Ventures, Goodyear Ventures, Proeza Ventures, Automotive Ventures, and Trucks Venture Capital.

Autonomous Vehicles > Self Driving Technology > Cars,

Connected Vehicles > Safety and Security > ADAS