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Coram AI

Category: Computer Vision

AI-native physical security platform that retrofits existing security cameras with AI detection, natural-language video search, and unified video/access/emergency management Coram AI was founded in 2022. The company is led by Ashesh Jain. Based in Sunnyvale, California. Team size: 101-500. Total funding raised: $66M. Latest round: Series B. Key investors include Ansa Capital, Battery Ventures, UP.Partners, 8VC, Mosaic Ventures, Air Street Capital, K5 Global.

Founded
2022
Headquarters
Sunnyvale, California
Team size
101-500
Total funding
$66M

Value proposition

Turn any existing security camera system into an AI-powered security platform without rip-and-replace. Natural-language search lets users find any event in seconds; AI agents autonomously investigate and generate reports across cameras and sites

Products and solutions

Video Security (AI-powered platform works with any IP camera), Access Control System, Emergency Management (panic buttons, reunification, Alyssa's Law compliant), Guest Management, Deep Investigation (AI agent for natural-language video search and report generation), AI NVR, Bus Camera System, Solar Surveillance Camera, Mobile Surveillance Unit, Gun Detection, License Plate Detection

Unique value

Hardware-agnostic AI-native platform that works with any IP camera, runs AI models on local NVIDIA edge hardware (keeping footage on-premises), and provides ChatGPT-like natural-language search across all cameras and sensors

Target customer

Schools, healthcare facilities, churches, government, manufacturing plants, banks/financial institutions, gyms/fitness centers, warehouses, airports, large enterprises

Industries served

Education (K-12 schools), Healthcare, Religious Institutions, Government/Municipalities, Manufacturing, Banking & Finance, Fitness & Gym, Warehousing & Logistics, Airports, Retail

Technology advantage

Coram Point edge appliance with NVIDIA AI chips for on-premise inference; Large-vision and language models for natural-language video indexing and search; Built on OpenAI's CLIP architecture with custom training on ~10M proprietary customer images; AI agents (Deep Investigation) for autonomous multi-camera report generation

How they differentiate

1) Hardware-agnostic — works with any existing IP cameras, no rip-and-replace required 2) AI-native with natural-language search (like ChatGPT for video footage) 3) Deep Investigation AI agents that autonomously query months of video and generate reports 4) Runs on local NVIDIA edge hardware for on-premise inference, keeping video data on-site 5) Unified platform spanning video, access control, emergency management, and guest management 6) Built by ex-Lyft/Zoox autonomous driving engineers applying self-driving AI to physical security

Main competitors

Verkada (valued at $5.8B), Motorola Solutions' Avigilon (including Avigilon Alta / formerly Ava Security), Eagle Eye Networks

Key partnerships

NVIDIA (edge AI hardware — Coram Point with NVIDIA AI chips), Integrates with OpenPath/Avigilon Alta and Brivo access control systems

Notable customers

Hershey's Ice Cream, 1-800-GOT-JUNK?, Lakepointe Church (8 campuses, Dallas), Point Defiance Zoo & Aquarium, Sycamore High School, Poster House, Big Springs Charter Schools, Brown County Schools, Hart Public School District

Major milestones

2022: Company founded by Ashesh Jain and Peter Ondruska (ex-Lyft/Zoox autonomous driving), Aug 2023: $15.5M Seed round led by 8VC and Mosaic Ventures, Jan 2025: $13.8M Series A led by Battery Ventures, Jun 2026: $35M Series B co-led by Ansa Capital and Battery Ventures, 2026: 1,500+ sites deployed across US and Canada, 4x revenue growth year-over-year, Launched Deep Investigation AI agent product

Growth metrics

4x revenue growth since Series A (Jan 2025); Customer base tripled since Series A; 1,500+ sites across US and Canada; 4.9/5 rating; 9.5/10 ease of use score

Market positioning

Competing in the $70B+ global video security market against legacy systems and cloud-native competitors like Verkada. Positioned as the AI-first, hardware-agnostic alternative that works with existing camera infrastructure

Geographic focus

United States and Canada (1,500+ sites deployed)

Patents and IP

Patent filed for "Natural language processing for searching security video data" (Inventors: Peter Ondruska, Ashesh Jain, Balazs Kovacs, Luca Bergamini)

About Ashesh Jain

Ex-Lyft (led Autonomy and AI for self-driving division); Ex-Zoox (Engineering Manager/leader); PhD in Computer Science from Cornell University; Visiting Research Scholar at Stanford AI Lab; B.Tech from IIT Delhi

Official website: