Machine Learning startup Voxel51 secured $12.5 Million in Series A funding

Voxel51, an Ann Arbor-based data-centric machine learning software company, has now secured $12.5 million in a Series A funding round.

Voxel51 was founded by Jason Corso. It provides an open source and commercial software platform that enables scientists, developers, and organizations to build high-quality datasets and computer vision models that power some of today’s most remarkable machine learning and AI.

Jason Corso, Co-Founder and CEO of Voxel51 said, "We're proud to be at the forefront of this increasingly important area of machine learning development. High-quality, clean data is critical to the success of ML, and we're providing key infrastructure for data-centric model development with an open source product to support everyone in the space".

Andy Jenks, lead investor and general partner at Drive Capital said, "Voxel51 sits at the intersection of several large markets: AI, Perception, and Automation. Having contributed years of work to the open source FiftyOne project, the founders are deeply technical and are building the type of world-class team we look for. Voxel51's platform is a critical piece of the AI stack for any team looking to develop ML products on accurate and diverse data."

The round was backed by Drive Capital, Shastra Ventures, Top Harvest Capital, and some other existing investors.

The round also follows the company’s $2.875 million seed funding round from ID Ventures, eLab Ventures, and the University of Michigan.

The company, as of now, has plans to use the new funds to expand its diverse team committed to shaping the future of machine learning in roles focused on community, product, engineering, and more.