
Xnor.ai brings state-of-the-art artificial intelligence to the edge. Xnor’s platform allows companies to run complex deep learning algorithms, formerly restricted to the cloud, locally on a range of devices including mobile phones, drones, and wearables. This new, highly scalable approach ensures complete privacy of data, eliminates the need for connectivity, and significantly reduces memory load and power demands, all without compromising accuracy or performance. Xnor’s industry-leading technology is used by global corporations in aerospace, automotive, retail, photography, and consumer electronics.

Xnor.ai brings state-of-the-art artificial intelligence to the edge. Xnor’s platform allows companies to run complex deep learning algorithms, formerly restricted to the cloud, locally on a range of devices including mobile phones, drones, and wearables. This new, highly scalable approach ensures complete privacy of data, eliminates the need for connectivity, and significantly reduces memory load and power demands, all without compromising accuracy or performance. Xnor’s industry-leading technology is used by global corporations in aerospace, automotive, retail, photography, and consumer electronics.
What they do: On-device, low-power deep-learning/inference for edge devices
Founded: 2016/2017 (spun out from Allen Institute for AI)
Founders: Ali Farhadi; Mohammad Rastegari
Funding: Seed (~$2.6M) and Series A (~$12M); total reported ~$14.6M
Exit: Acquired by Apple (January 2020, reported)
Edge AI / on-device machine learning / low-power inference
2017
Artificial Intelligence / Edge Computing
$2.6M
Seed financing included participation from the Allen Institute for AI
$12M
Series A included participation from NGP Capital, Autotech Ventures, and Catapult Ventures
“Led by Madrona Venture Group with participation from AI2 and other VCs”