April 28, 2026
STATE OF THE ART DIGITAL NIGHT VISION
Drone footage recorded on a moonless night with minimal light pollution
APPLICATIONS
True information recovery:
Our deep neural network aggregates photons temporally to recover true information.
Analog rivalry:
Combined with digital image sensors, we have achieved the state of the art in night vision performance, exceeding the performance of gen 3 image intensifiers.
Imaging in the darkest environments:
Deepnight can produce meaningful imagery on the darkest nights, only illuminated by ambient starlight.
Lower cost, higher resolution than thermal:
We make commoditized EO cameras effective in dark environments, achieving higher performance at lower costs than thermal cameras, including in moonless starlight conditions.
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PARTNERS / BACKERS
