We're building state of the art AI
solutions for manufacturing.
Born from the challenging demands of implementing computer vision algorithms for use in self driving cars. Our leadership teamed up to introduce this groundbreaking technology to the manufacturing industry.
Our engineers have advanced degrees from prestigious engineering & robotics institutions. They are experts in computer vision and AI for human body and motion tracking.
We have raised our Series A fundraising round and are rapidly scaling our business. If you are interested in building the future of computer vision and manufacturing technology, check out our careers page.
After serving in the US Army for nearly a decade, Eric studied computer vision at the Robotics Institute of Carnegie Mellon University.
He then moved to Silicon Valley and worked at several startups before joining the self-driving race at Luminar Technologies. As the Director of Software Engineering, he led a team of over 30 engineers working on some of the hardest problems in autonomous driving.
In 2018, he founded Invisible AI to bring state-of-the-art technology from self-driving to industrial applications, blending his military experience and technical knowledge to help companies streamline operations.
Previous to founding Invisible AI, Prateek was the head of data infrastructure at Luminar Technologies, where he developed the infrastructure necessary to support a fleet of self-driving cars and filed five patents in the process.
He now uses his expertise to deploy state-of-the-art AI technology at leading manufacturing facilities, including Toyota North America. Prateek graduated with a Bachelor's and Master's degrees in Computer Science from the University of Michigan.
Invisible AI exists to maximize the output of every business by providing visibility and insight into the physical world.
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