Vintra raises $4.8 million to fund biometric surveillance video processing platform growth
San Jose-based AI video analytics startup Vintra has raised $4.8 million in funding, which it plans to use for customer acquisition and to expand its product portfolio, VentureBeat reports.
Vintra provides a codec-agnostic platform, FulcrumAI, to apply computer vision and deep learning, including facial biometrics, to process the huge volume of surveillance footage which is never reviewed. The company estimates that 98 percent of camera footage goes unreviewed. The company says its face recognition engine is purpose-built for video surveillance scenarios, including BOLOs (“Be on the lookout” alerts), blocklists, subject searches, person re-identification, and access verification. FulcrumAI is scalable enough to process up to 80 video sources on a single server, and its proprietary algorithms for real-time computer vision analysis integrate with video management services like those offered by Genetec and Milestone, according to VentureBeat.
The Series A funding round was led by Bonfire Ventures, according to Crunchbase, with participation from Vertex Ventures and London Venture Partners.
The company also provides FulcrumAI Investigator, a tailored solution for law enforcement customers, which so far include the Northern California Regional Intelligence Center, Sacramento City Police Department, and NYC Department of Investigations. FulcrumAI Investigator is hosted on AWS and is Criminal Justice Information Services (CJIS) compliant. For $2,000 a month and up, agencies can receive FulcrumAI Investigator with 500 hours of video processing, 5TB of storage, and quarterly algorithm updates.
Article Topics
artificial intelligence | biometrics | facial recognition | investment | re-identification | video analytics | video surveillance | Vintra
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