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Ottometric solves the automotive industry’s big-data challenges with a modular, end-to-end platform that shortens time to market and reduces total program cost.
Ottometric has raised $15.0M across 2 funding rounds.
Ottometric has raised $15.0M in total across 2 funding rounds.
Ottometric has raised $15.0M in total across 2 funding rounds.
Ottometric's investors include Schooner Capital, Proeza Ventures, Rally Ventures.
Ottometric has raised $15.0M across 2 funding rounds. Most recently, it raised $10.0M Series A in April 2025.
| Date | Round | Lead Investors | Other Investors | Status |
|---|---|---|---|---|
| Apr 1, 2025 | $10M Series A | Schooner Capital | Proeza Ventures, Rally Ventures | Announced |
| Jan 1, 2023 | $5M Seed | Rally Ventures | Proeza Ventures | Announced |
Ottometric is a technology company that builds an AI-driven software platform for validating and training Advanced Driver Assistance Systems (ADAS) and Autonomous Vehicles (AVs).[1][2][3] It serves original equipment manufacturers (OEMs), Tier-1 and Tier-2 suppliers, and AV designers by automating data annotation, training, real-world validation, and performance analysis, solving the challenges of massive sensor data volumes, high costs, and long timelines in ADAS/AV development.[1][2][3][4] The platform uses proprietary AI and data distillation to reduce dataset sizes by over 50%, cut validation costs, and accelerate time-to-market while improving system safety and accuracy.[2][3]
Founded in 2018 or 2019 and based in the Boston area (Waltham/Boston, Massachusetts), Ottometric has raised $4.9 million in seed funding led by Rally Ventures, with a team of under 25 employees drawn from ADAS pioneers at GM, FCA, Autoliv, and Optimus Ride.[2][3][4] Growth momentum includes active participation in industry events like ADAS/AVT Stuttgart, where it showcased innovations in sensor fusion and KPI computation, positioning it amid rising ADAS complexity and data challenges.[5]
Ottometric was founded in 2018 (per CB Insights) or 2019 (per Rally Ventures) by a team of automotive veterans, including CEO and Co-Founder Joseph Burke, who brought decades of experience from pivotal roles in ADAS evolution at companies like GM, FCA, Autoliv, and Optimus Ride.[1][2][4] The idea emerged from recognizing the inefficiencies in manual-intensive ADAS validation processes—big data annotation, training, and real-world testing—that burden OEMs and suppliers with high time, effort, and costs.[1][4]
Early traction came via Rally Ventures' $4.9 million seed round in January (year unspecified, likely post-2019 founding), validating the team's multi-disciplinary approach combining computer vision, analytics, and customer-facing tools.[4] Pivotal moments include assembling specialized engineering teams for end-to-end solutions and gaining advisors like Steve Girsky (Nikola Motors, GM) and investors from Foundation Capital, which humanized the company as a "world-class team with unique expertise" tackling a complex, industry-wide pain point.[1][4]
Ottometric stands out in the crowded ADAS/AV validation space through these key strengths:
Ottometric rides the explosive growth of ADAS and AVs, where vehicles generate exploding data volumes amid regulatory pressures for safety and software-defined architectures.[1][5] Timing is ideal as ADAS complexity surges—featuring advanced localization, sensor fusion, and scenario-driven testing—while OEMs grapple with manual validation bottlenecks and rising costs, creating demand for AI automation.[4][5]
Market forces like powerful on-board systems (e.g., automotive-grade Linux), China Inc.'s expansion, and simulation/data logger innovations favor Ottometric's cloud-based tools, which optimize real-world data over pure sims.[2][5] It influences the ecosystem by accelerating feature deployment for competitive edges, reducing industry-wide validation expenses, and bridging gaps left by incumbents struggling with data scale.[1][3]
Ottometric is poised to scale as ADAS mandates proliferate and AV commercialization heats up, potentially expanding via partnerships with OEMs and deeper integration with software-defined vehicles.[5] Trends like scenario-driven data collection, GTSM3 standards, and hybrid real/sim validation will amplify its platform's edge, with AI advancements enabling even smarter distillation.[2][5]
Its influence may evolve from niche validator to ecosystem enabler, powering safer, faster ADAS rollouts—echoing how its veteran team transformed ADAS history once before, now streamlining the next pivotal automotive shift.[1][4]
