Coram AI Raises $35M to Automate Physical Security

The big picture: Most security cameras act as digital witnesses, recording events for later review. Coram AI, founded by former self-driving car engineers, raised $35 million in Series B funding to integrate AI-powered investigations and automated security workflows into schools, hospitals, factories, and large enterprises.

Why it matters:

• Overwhelmed teams: Organizations face increasing security data from more systems, but have fewer personnel to monitor it all.
• Disconnected tools: Security teams manually piece together information from disparate systems like footage, access logs, and incident reports after an event.
• Reactive vs. Proactive: Traditional security relies on reactive monitoring, whereas modern AI enables proactive risk detection and faster incident response.

How it works:

• Unified Platform: Coram AI uses AI to connect existing security systems into a single platform, allowing search and analysis without replacing current infrastructure.
• Deep Investigation: The new feature analyzes video feeds, access control, and visitor activity across locations and time, generating answers with supporting evidence.
• Autonomous AI Principles: The company applies AI techniques from autonomous vehicles to interpret scenes and identify risks earlier, enhancing safety in physical environments.

The catch: The physical security market is highly fragmented, with numerous legacy systems and a slow adoption curve for new technologies. Integrating Coram AI’s platform with diverse existing infrastructure presents ongoing technical challenges, and the accuracy and ethical implications of AI-driven surveillance will require continuous scrutiny to build trust and ensure effective deployment.