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Solutions

Ottometric’s solutions turn on‑road and proving‑ground test data into a traceable development chain, from collection to review‑ready outputs-so teams move faster, keep SOP on schedule, and lower total program cost.

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Large-scale ADAS and autonomous driving programs depend on collecting vast amounts of real-world driving data. Yet data collection, transport, storage, qualification, and engineering analysis are often managed as separate activities. As a result, missing scenarios, sensor issues, incomplete coverage, and drive-plan deviations are frequently discovered only after significant storage, compute, annotation, and validation effort has already been invested.

Data Collection Optimization closes this gap by combining physical data collection infrastructure with engineering intelligence. Instead of waiting until validation begins, engineering teams receive continuous visibility into collection quality, completeness, coverage, and drive-plan execution while vehicles remain operational. This enables corrective action early in the workflow, reducing downstream engineering effort and improving confidence in the data entering validation.

The solution integrates secure in-vehicle data capture, high-speed transport, cloud ingestion, automated qualification, and engineering evidence generation into one continuous workflow. Engineering teams understand not only how much data has been collected, but whether it is sufficient to support validation objectives before additional time and cost are committed.

Used by ADAS Validation Managers, Data Collection Managers, Fleet Operations, Program Managers, and Data Engineering teams.

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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, Review Packs, and full traceability improves decision quality and keeps NCAP and GSR assessments on schedule without added drag.

Explore Case Studies
Turn Your ADAS Data Into a High-Impact 1% Training Dataset

Turn Your ADAS Data Into a High-Impact 1% Training Dataset

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

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

14 February, 2023

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.