Lyte brings in $107M to build perception systems for AI-enabled robots – The Robot Report

Lyte AI today arised from stealth with $107 million in mix financing. The start-up prepares to work out the financial investment to make an understanding structure for self reliant equipments.

The Hill Look documents from, Calif.-primarily based firm recognized its core item, LyteVision, up and down incorporates established 4D imaginative and prescient, RGB imaging, and motion sensing right into a solitary system to elevate combined spatial and aesthetic documents by one link. LyteVision allows a substantial vary of physical AI systems, along with self dependent mobile robotics, robot hands, quadrupeds, robotaxis, and humanoids, it declared.

” Physical AI will certainly change exactly how the enviornment functions, yet finest most likely if robotics can eye it plainly,” recognized Alexander Shpunt, founder and chief executive officer of Lyte AI. “After offering to form exactly how billions of senior citizens have communication with knowledge, we have actually set up an added unique group of employees to make the understanding layer that allows robotics to include securely and accurately at range.”

Shpunt, Arman Hajati, and Yuval Gerson, that formerly struggled on Apple’s depth-sensing and understanding modern technologies, based Lyte in 2021. Shpunt formerly co-based and worked as primary knowledge police officer of PrimeSense, the 3D picking up company that powered Microsoft Kinect. That company later on expanded to came to be the muse of Apple’s deepness system after its 2013 procurement.

Lyte AI resolve a ‘architectural self-control’ in robotics

The AI robotics market will certainly achieve $125 billion by 2030, projected Huge Look documents from Be shown. Nonetheless, additional than 60% of industrial firms do not have the internal capability to enforce robot automation, along with sensing unit combination, in accordance with McKinsey & Co.

Lyte AI insisted that its formula addresses a “architectural self-control” in robotics. “Groups on the streamlined time put together understanding from additional than one representatives, after that invest months adjusting sensing units, creating combination device, and debugging combination failings,” it recognized. “Lyte’s up and down incorporated pile gets rid of that cycle.”

The company recognized it has actually crafted its system for safety, integrity, and efficiency from the equipment up. Lyte AI has actually combined that with an AI-pushed working layer that regularly advancements together with developments in creative and prescient, language, and motion devices. This allows physical AI techniques to peep, reason, and show climbing knowledge with time, it recognized.

Chairman is a semiconductor business owner

Avigdor Willenz, a semiconductor business owner, is Lyte’s founding capitalist and chairman of the board. The financing integrated involvement from his community, Integrity Management & Be showed Co., Atreides Management, Exor Ventures, Key1 Resources, and Goal Technology Partnership.

” Lyte is improving the proper layer, on the proper second,” recognized Willenz. “I have actually watched exactly how fundamental modern technologies free entire markets. What stands apart right below is the deepness of the group of employees and the self-control to resolve understanding as a device– where long-term well worth is developed.”

Lyte’s understanding system became recognized at CES 2026 with a Most efficient of Development Honor in Robotics and as a Guest Of Honor in Vehicle Technology and Evolved Flexibility, picked from a clarify 3,600 entries.

” Lyte is constructing core facilities for physical AI: an understanding system that aids robotics securely note and engage with the real globe,” recognized Gavin Baker, handling associate at Atreides Management. “The owners currently originated one duration of 3D picking up and are amongst the numerous pick couple of with the reliability and technological deepness to advertise a smooth frontier specified by meaningful 4D creative and prescient and stout-stack understanding.”