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

Ottometric's headquarters in Newton, MA, United States

This department focuses on developing and implementing advanced algorithms and systems for artificial intelligence and computer vision applications.

AI and Machine Learning

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

This department focuses on the design, development, and implementation of engineering solutions and technologies.

Engineering Department

The Leadership Team at Ottometric is responsible for setting the strategic direction of the company and ensuring that its innovative solutions effectively meet the challenges of the automotive supply chain. This team, comprising the CEO, VP of Engineering, and VP of Marketing, drives the development of advanced data management and AI capabilities, oversees market positioning, and aligns cross-functional efforts to enhance validation processes for ADAS features, ultimately aiming to reduce costs and improve accuracy in the industry.

Leadership Team

This department focuses on the development and implementation of AI and machine learning technologies.

Artificial Intelligence

This department manages recruitment, employee relations, and various HR functions to support the workforce.

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Engineering and Technical Roles

Engineering Department

Leadership Team

Artificial Intelligence

Human Resources