Orbeus
Orbeus taps the power of deep learning to provide scalable image and face recognition solutions for businesses and consumers. With expertise in state-of-the-art machine learning and ImageNet (award winners in 2013 and 2014), Orbeus understands both the tremendous value, and limitations, of a purely academic approach for everyday uses. Orbeus bridges this gap to meet identification requirements has developed what could be the best application yet for letting everyday consumers benefit from advances in deep learning, called PhotoTime, which got featured by Apple store and mass medias.
Orbeus
Orbeus taps the power of deep learning to provide scalable image and face recognition solutions for businesses and consumers. With expertise in state-of-the-art machine learning and ImageNet (award winners in 2013 and 2014), Orbeus understands both the tremendous value, and limitations, of a purely academic approach for everyday uses. Orbeus bridges this gap to meet identification requirements has developed what could be the best application yet for letting everyday consumers benefit from advances in deep learning, called PhotoTime, which got featured by Apple store and mass medias.
TL;DR
Founded: 2012
Headquarters: Sunnyvale / Mountain View area, California
Core tech: Deep-learning based image, face, object and scene recognition; image-to-text and video indexing
Outcome: Acquired by Amazon (announced Dec 1, 2015)
Last known funding: Series A (closed Sep 2014), total reported funding $1,990,000
Company Overview
Problem Domain
Automated visual recognition and analysis (faces, objects, scenes, text in images, video indexing).
Founded
2012
Industry
Computer vision / Image recognition
Tech Stack
Funding Track Record
Last reported round closed Sep 2014
Investor Signal
“Amino Capital; ZhenFund listed among investors”