Matroid makes computer vision simple by providing an easy-to-use, intuitive Studio for creating and deploying Detectors (computer vision models) to search video for actions, objects, and events with no additional programming required. Matroid can monitor any live stream or search recorded video, providing real-time notifications when events of interest have been detected. Matroid reduces operating costs associated with manually searching through video footage for an object or a specific person, and increases efficiency, safety, and regulatory compliance.

Software

Matroid

Matroid's headquarters in Palo Alto, CA, United States

This department focuses on deploying and managing implementation projects to ensure successful integration and application of solutions.

Implementation Services

The Engineering Team at Matroid is responsible for developing and maintaining the software infrastructure that underpins the company's innovative computer vision products. They work collaboratively to design and implement scalable systems, build deep learning models, and ensure robust testing and deployment processes. Through their expertise in software and deep learning, the team enables users to easily create and deploy Detectors that bring efficiency, safety, and compliance to video monitoring.

Engineering Team

This department focuses on developing and implementing deep learning models and solutions for various applications.

Deep Learning Engineering

The Sales Team at Matroid is responsible for driving revenue growth by engaging with potential clients and educating them on the benefits of Matroid’s innovative computer vision solutions. They work to identify and nurture leads, develop strategic relationships, and tailor offerings to meet the unique needs of enterprises, ultimately helping organizations enhance efficiency and compliance while reducing operational costs.

Sales Team

This department provides strategic direction and oversight for the organization.

Leadership

This department oversees the strategies and operations related to enterprise-level sales initiatives.

People (2)

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Other teams

Engineering Team

Deep Learning Engineering

Sales Team

Leadership

Sales Management