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David Selinger is a serial technology entrepreneur who studied artificial intelligence, robotics, and machine learning at Stanford University. Early in his career he led the data-mining and personalization research team at Amazon, work that informed the company's recommendation systems, and he was an early team member and co-founder at Redfin. He went on to found RichRelevance, a retail personalization and recommendation company where he served as CEO and later board member. In 2016 Selinger founded Deep Sentinel in Pleasanton, California, applying his background in deep learning and computer-vision object detection to build a surveillance service that pairs AI video analysis with live human guards who intervene in real time, and he continues to lead the company as CEO.
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Deep Sentinel's core offering is an AI-plus-live-guard surveillance service. Its cameras and edge hardware run computer-vision models that continuously analyze video and, when they detect a potential threat, route the feed to remote human guards who can respond within seconds. Guards use two-way audio to warn off intruders, trigger sirens and deterrents, and call police with verified, real-time context — designed to stop crimes in progress rather than provide footage afterward. The system is sold to homeowners and businesses with monitoring subscriptions, and the company emphasizes fast human verification as its differentiator from passive record-and-alert cameras.
Deep Sentinel's Bring Your Own Camera program lets customers connect compatible third-party cameras to its AI and live-guard monitoring platform instead of buying all-new Deep Sentinel hardware. This lowers the barrier to adoption for users who already own cameras and broadens the company's addressable market beyond its own devices. According to the company, BYOC had grown to account for nearly half of all sales by the time of its 2025 Series B, and scaling the program was a stated use of the new funding. It reflects a platform strategy of monetizing proactive monitoring on top of an installed base of mixed camera hardware.
3 patents on file, but none with both an extractable figure and an abstract on Google Patents yet.
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