
Dextro
Computer vision API for real-time video analysis.
Date | Investors | Amount | Round |
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- | investor | €0.0 | round |
investor investor investor investor investor investor investor investor investor investor | €0.0 | round | |
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Total Funding | 000k |










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Dextro was a computer vision company that developed a machine learning API to analyze and draw insights from photos and videos. The platform was designed for developers and businesses to extract actionable statistics from visual datasets without needing expertise in machine learning. A key feature was its learning system, which improved its specificity with each query completed. The technology was recognized as the first deep learning system capable of analyzing livestreams in real-time.
Founded in 2013 by David Luan and Sanchit Arora, the New York-based startup initially focused on the media space before its technology was applied to analyzing body-worn camera footage for law enforcement. David Luan, who served as CEO, holds degrees in Applied Math and Political Science from Yale and has a background that includes roles at iRobot and Microsoft. This work with law enforcement data highlighted the potential for using AI to enhance transparency and accountability.
In February 2017, Dextro was acquired by TASER International (now Axon Enterprise) for $7.5 million. The acquisition was a strategic move for TASER to manage the vast amounts of data generated by its Axon body cameras. Dextro's technology and team formed the foundation of a new artificial intelligence division called Axon AI, with Dextro's product being rebranded as Axon AI. The acquisition was seen as a natural fit, combining Dextro's state-of-the-art machine learning with Axon's public safety technology mission.
Keywords: computer vision, video analysis, machine learning API, deep learning, data analytics, real-time analysis, video search, Axon AI, TASER, David Luan