AI-first night vision that outperforms military image intensifiers at a fraction of the cost — making full-capability operations in complete darkness accessible at scale.

Night and low-visibility conditions collapse the operational window for drones, defense systems, and autonomous platforms to daylight hours. Traditional night vision relies on analog image intensifier tubes that cost tens of thousands of dollars, degrade over time, and are too expensive to deploy at scale. DeepNight replaces the tube with CMOS digital sensors paired with deep neural networks that recover high-resolution imagery from starlight-level light — achieving Gen-3 performance at roughly 1% of the cost.

Deep learning architectures capable of recovering meaningful signal from near-zero photon counts only recently reached the performance threshold required for operational night vision. Combined with commodity CMOS sensors, this breaks the cost barrier that has kept capable night vision confined to elite military units — opening it to drone swarms, autonomous platforms, and distributed defense systems.