Ottometric provides analytics and enhanced capabilities for the automotive supply chain to understand challenges in ADAS features being delivered in modern vehicles. As vehicle complexity increases with more sensors and systems, the complexity and interdependency of the data fusion makes validation ever more complex, time consuming and expensive.

The Ottometric solution provides simplified data management and visualization for this overwhelming deluge of validation data and our proprietary artificial intelligence (AI) and computer vision automates validation data review.

The result is significant cost reduction and higher accuracy than manual review of data that utilizes in-house tools or unscalable off-the-shelf software. With more extensive and rapid data analysis, long tail problems can be better understood, further improving ADAS features being delivered to the market.

Automotive

Ottometric

Joseph Burke

Adriana Repac

Steve Caplow

Djordje Obradovic

Chris Moberg

The Engineering and Technical Roles team at Ottometric is responsible for developing and maintaining innovative software solutions that streamline data management and enhance validation processes for advanced driver-assistance systems (ADAS). By leveraging expertise in machine learning, software engineering, and DevOps, the team creates robust systems that automate data review and improve accuracy, ultimately contributing to more reliable automotive supply chain analytics. Through collaboration and continuous integration, they drive the development of user-friendly interfaces and efficient back-end systems that meet the evolving needs of the industry.

Engineering and Technical Roles

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