The data-driven platform for smarter autonomous driving solutions

Ottometric solves the automotive industry’s big-data challenges. A modular, end-to-end platform shortens time to market and reduces total program cost.

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From Real-World Data to Actionable Intelligence

Ottometric turns real-world ADAS/AV data into structured, prioritized, and traceable intelligence that shortens time to market and reduces total program cost.

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Data

Curation of petabyte-scale, multimodal data for secure, traceable data chains and data services

Intelligence

Compute & service engine for orchestration of raw and derived intelligence across all applications

Application

Modular services targeted for compliance, workflow automation, and continuous learning across the platform

Optimize real-world data collection

Ottometric focuses collection on the scenarios that matter, cutting noise while preserving traceable evidence. It continuously assesses recent road and track activity, requirements, and known gaps to identify the routes, conditions, and edge‑case patterns that add the most learning. As a result, collection effort shifts to high‑value miles while maintaining end‑to‑end traceability across runs and findings.

Distill large-scale data into usable signals

Ottometric distills raw logs into scenarios and KPI‑ready datasets for efficient validation workflows. It ingests heterogeneous sensor and CAN logs and harmonizes them into a governed schema with scenario tags and metadata. Those prepared datasets drop into HIL/SIL benches and road‑test analysis so like‑for‑like comparisons are possible and drift is surfaced earlier.

Compute consistent, decision-ready KPIs

Ottometric uses a proprietary methodology that enables faster iteration on KPIs and AI‑assisted root‑cause discovery. It standardizes KPI definitions and computes them consistently across releases, sites, and suppliers from a single governed dataset. Stable comparisons make regressions and coverage gaps obvious and reduce manual spreadsheet work.

Orchestrate data across tools and teams

Ottometric restructures fragmented datasets into synchronized, tiered assets across storage platforms with vendor controls. It aligns data from road and track programs and tools into synchronized, versioned assets with clear access and vendor governance. A single governed flow replaces ad‑hoc pipelines, improving traceability and speeding the assembly of review materials.

Select the right data for AI development

Ottometric selects high‑value, high‑risk data for AI training and validation while controlling cost. It ranks logs by coverage, novelty, and safety relevance so the most informative samples are promoted for labeling and evaluation. Training then focuses on high‑impact data with full traceability into the model record, lowering cost while improving edge‑case performance.

OttoViz™

Ottometric streamlines complexity into transparent decisions with a purpose‑built visualizer. It combines raw streams, scenarios, KPIs, versions, and comments into a single shared view of program state. Role‑based dashboards and interactive replays make gate reviews faster and easier to defend, with full traceability back to source data.

Compliance

Ottometric helps ADAS and autonomous-vehicle programs stay audit-ready. The platform structures evidence for GSR safety features and Euro NCAP 2026 workflows so teams can review, approve, and export results with full traceability.

Faster time to market. Lower program cost. Confident releases.

Faster time to market

The platform shortens the path from real-world data to decisions by focusing on high-value scenarios and reducing re-runs. Programs clear internal gates and assessments faster.

Lower total program cost

High-value data selection, automated computations, and one governed flow cut labeling and compute, shrink duplicate storage, and reduce integration overhead as programs scale.

Release confidence at scale

A traceable development chain with consistent KPIs, Readiness Assessments, and full traceability improves decision quality and keeps NCAP and GSR assessments on schedule without added drag.

Explore Case Studies

Articles and Resources

The Auto Industry’s Next Recall Won’t Be Mechanical - It’ll Be Regulatory

21 October, 2025

The Auto Industry’s Next Recall Won’t Be Mechanical - It’ll Be Regulatory

Regulatory pressure is turning ADAS validation into a make-or-break discipline. In 2025, coverage is no longer enough—only traceable, evidence-first validation determines who ships on time.

Ottometric Closes $4.9M Seed Funding Round for Automated Validation of ADAS Systems

8 April, 2025

Ottometric Closes $4.9M Seed Funding Round for Automated Validation of ADAS Systems

Ottometric raised $4.9M in seed funding led by Rally Ventures to accelerate the development of its cloud-based ADAS validation platform, helping OEMs and suppliers reduce costs, shorten development cycles, and improve system reliability.

Key Takeaways from ADAS/AVT Stuttgart

17 June, 2025

Key Takeaways from ADAS/AVT Stuttgart

The Ottometric team shares key takeaways from the ADAS/AVT show in Stuttgart, highlighting the growing role of simulation, data-driven validation, and emerging trends shaping the future of ADAS development.

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Request a Whitepaper

Request it to see how Ottometric turns your ADAS/AV data into a high‑impact 1% subset-and where you can safely stop labeling.