Coram AI: $13.8 Million (Series A) Raised For Enhancing Video Security Platform
Summary
And Coram plans to use the funding from the round to build more product lines and grow its go-to-market and engineering teams.Coram which was founded by Ashesh Jain and Peter Ondruska, both former executives in Lyfts autonomous driving division provides a novel AI-based security platform that helps customers ranging from schools to manufacturers better monitor their sites to improve safety and efficiency dramatically. This 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 platform tackles the critical needs of customers across education, logistics, and manufacturing by automatically analyzing camera footage in real time to detect threats and surface safety issues and provide operational insights that reduce waste.For example, Coram provides its customers in K-12 education with an immediate alert if a potential threat, such as someone brandishing a weapon, 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 train managers to prevent such accidents in the future.This software can also detect license plates, recognize faces, and issue alerts if a known offender is identified on-site. Corams customers include Middletown Unified School District in California and PCC Community Markets in Washington.Jain holds a Ph.D. in computer science from Cornell University and was previously a director of engineering at Lyft, where he led the Autonomy & AI team in the companys self-driving program, which was acquired by Woven Planet, a Toyota subsidiary, in 2021. We witnessed firsthand how this technology accelerated the development of self-driving cars and significantly enhanced public safety.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.