Coram AI Raises USD 13.8 Million to Bring AI to Video Security

Harnessing AI for Real-Time Video Analysis, Coram AI Enhances Safety and Operational Efficiency Across Industries.

Highlights

  • The platform integrates with any IP camera to deliver real-time insights.
  • Applications include virtual security guards, threat detection, and operational efficiency.
  • Advanced AI enables natural language searches and long-term activity analysis.

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Coram AI Raises USD 13.8 Million to Bring AI to Video Security
Large Language Model (LLM)-powered video security provider Coram AI announced that it has raised USD 13.8 million in Series A funding in a round led by Battery Ventures, a global, technology-focused investment firm. Existing investors 8VC and Mosaic Ventures also participated in the round, Coram AI said in a statement on January 16, 2025.

Also Read: Mesmerise and Mayo Clinic Launch NeuRealities to Transform Medical Education with AI




Video Security with AI-Powered Insights

Coram plans to use the funds to expand its product lines and grow its go-to-market and engineering teams. The company says its platform minimises infrastructure overhead for customers by integrating with any IP camera in existing installations.

"The technology uses advanced vision and language models for real-time video analysis from security cameras, enabling searches described in natural language and advanced applications such as virtual security guards capable of interpreting complex activities over long timespans," the official release said.

According to the company, the platform addresses the needs of customers across education, logistics, and manufacturing by automatically analysing camera footage in real-time to detect threats, identify safety issues, and provide operational insights that reduce waste.

Human Level Understanding of Video

"With the new generation of AI, human-level understanding of video is finally possible. We envision cameras evolving far beyond being mere video recorders—they will become a constant pair of eyes that keeps the public safe and secure in a privacy-sensitive manner," said Jain, Coram's CEO.

For instance, Coram serves its customers in K-12 education by transmitting an immediate alert if a potential threat, such as someone brandishing a gun, is detected on the premises. Similarly, a user at a manufacturing plant can quickly sift through thousands of hours of footage to isolate recorded slip-and-fall incidents, helping to train managers to prevent such accidents in the future, the company explained.

The software can also detect license plates, recognise faces, and issue alerts if a known offender is identified on-site. There are over 80 million security cameras in the US, yet most video recordings remain unseen on hard drives, leaving valuable insights untapped, the company said.

Also Read: Bynder Unveils New and Expanded AI Capabilities at NRF for Retailers

Coram AI and Customers

Coram's customers include Middletown Unified School District in California and PCC Community Markets in Washington.

"AI holds the key to unlocking value in the exabytes of unwatched video footage generated every day by security cameras, but delivering this value intuitively and cost-effectively to customers is a very hard challenge," said Marcus Ryu, Partner at Battery Ventures.

As part of the financing, Battery Partner Marcus Ryu, the former co-founder and CEO of Guidewire Software, joins Coram's board. Coram—founded by Ashesh Jain and Peter Ondruska, both former executives in Lyft's autonomous driving division—offers an AI-native security platform that the company claims helps customers ranging from schools to manufacturers better monitor their sites to improve safety and efficiency.

Reported By

Kirpa B is passionate about the latest advancements in Artificial Intelligence technologies and has a keen interest in telecom. In her free time, she enjoys gardening or diving into insightful articles on AI.

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