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Vintra

1530 The Alameda Suite 205, San Jose, CA, 95126, United States

Overview

Vintra offers a purpose-built video intelligence solution that produces accurate critical-event alerts, lightning-fast video search, and integration capabilities for existing security cameras. Its technology works on live or recorded video from fixed or mobile surveillance cameras and can be deployed standalone via IP/RTSP feeds or as a deep integration with leading security products. The company serves Fortune 100 companies, critical infrastructure providers, major health organizations, the U.S. national security community, and large public safety organizations. Led by CEO Brent Boekestein, Vintra plans to use the new funding to expand operations and broaden its business reach. The article identifies Vintra as headquartered in San Jose, California. No revenue or user metrics were disclosed in the article. Vintra offers FulcrumAI, an AI-powered video analytics platform that analyzes frames from any camera source in real time. The platform is codec-agnostic, highly scalable (capable of handling up to 80 video sources on a single server), integrates with VMS providers like Genetec and Milestone, and supports on-premises and cloud deployments. FulcrumAI makes people, faces, vehicles, and objects instantly searchable, can apply facial recognition for blocklists and access verification, and issues customizable alerts. Vintra also provides a law-enforcement-tailored product, FulcrumAI Investigator, which is hosted on AWS, CJIS-compliant, and has been used by agencies to rapidly process large volumes of video. Investigator pricing starts at $2,000 per month (includes 500 hours of AI processing, 5TB of storage, and quarterly algorithm updates). The company says it conducts internal review to identify and correct algorithmic bias and allows customers to test solutions and review performance on public datasets.

Total raised
$14M
Funding rounds
2
Latest round
Series A
Latest activity
Sep 2021

Industries

  • Artificial Intelligence (AI)
  • Machine Learning
  • Software
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Recent funding

  1. Series A

    Sep 2021

    $9M

  2. Equity

    Mar 2019

    $5M

Team