
Traditional cameras rely on an imaging lens which typically consists of several lens elements and a light sensitive sensor. Cameras have been built like this since 1816. Glass has been historically used to make high quality optical elements. We are replacing these elements with deep neural networks that give extreme flexibility when designing our cameras. It allows us to squeeze a huge sensor into an ultra thin module that fits perfectly into a mobile device without the need for protruding bumps. Our cameras bring SLR image quality into your pocket.

Traditional cameras rely on an imaging lens which typically consists of several lens elements and a light sensitive sensor. Cameras have been built like this since 1816. Glass has been historically used to make high quality optical elements. We are replacing these elements with deep neural networks that give extreme flexibility when designing our cameras. It allows us to squeeze a huge sensor into an ultra thin module that fits perfectly into a mobile device without the need for protruding bumps. Our cameras bring SLR image quality into your pocket.
What they do: AI-driven computational imaging (GlassAI) — neural ISP and AI+optics solutions for edge devices
Founders: Ziv Attar (Founder & CEO) and Tom Bishop, Ph.D. (Founder & CTO), both former Apple engineers
Location: Los Altos, California, USA
Recent financing: Series A announced May 12, 2025 led by Insight Partners
Employee count (snapshot): 34
Computational photography and imaging for consumer edge devices
2019
Computers and Electronics Manufacturing
$20 million
Participating investors included GV (Google Ventures), Future Ventures and Abstract Ventures.
$9.3M
Round joined by Future Ventures, Abstract Ventures and LDV Capital.
Early investors also included GroundUP Ventures (reported).
“Backed by prominent venture investors including Insight Partners, GV (Google Ventures), Future Ventures, Abstract Ventures and LDV Capital”
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