Deepnight
Backed byInitialized Capital
About Deepnight
Deepnight is developing a low-light camera by embedding an AI model directly into the device. Its edge AI chip processes the camera’s limited signal to deliver usable vision in extremely dark conditions, as dark as 0.1 millilux on the Earth's surface. The compact camera measures one cubic inch, runs at 90 frames per second, and consumes only 1 watt. Deepnight’s aim is to enable robots, drones, autonomous vehicles, and head-mounted displays to operate in total darkness, expanding capabilities in nocturnal and low-light environments.
Company at a glance
Founders & Leadership
Location
About the Team
Team Distribution
- Engineering48%
- Other Specialized29%
- Operations10%
- Leadership5%
- Sales5%
Where the Team Studied
- 1.California Polytechnic State University, San Luis Obispo
- 2.University of California, Berkeley
- 3.Massachusetts Institute of Technology
- 4.Georgia Institute of Technology
- 5.University of Florida
Team Worked At
- Apple
- NVIDIA
- Qualcomm
- Max Planck Institute for Intelligent Systems
Team Composition
15 people- Engineering1 senior7
- Business Development1 senior2
- Research1 senior2
- Leadership1 senior1
Funding History
$5.5M
raised
YC-backed AI night-vision software startup Deepnight raised a $5.5M round led by Initialized Capital; angels including Kulveer Taggar, Brian Shin, Matthew Bellamy and others.
Life at Deepnight
Frequently asked questions
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