IIT Delhi alumnus co-founded Coram AI raises $35 million in Series B - YourStory.com

2026-06-11 · Source: Series A" OR "Series B" OR "Series C" AI startup via Google News · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Cybersecurity & Data Privacy, Robotics & Autonomous Systems · Depth: Fundamental Awareness, quick

Summary

California-headquartered AI startup Coram AI, co-founded by IIT Delhi alumnus Ashesh Jain, has secured \$35 million in a Series B funding round. The investment was co-led by Ansa Capital and Battery Ventures, with additional participation from UP.Partners, 8VC, and Mosaic Ventures. Coram AI plans to allocate this fresh capital towards enhancing AI product development, expanding its go-to-market teams, strengthening customer success initiatives, and significantly growing its engineering presence in India, particularly at its Bengaluru office, by hiring across AI, software engineering, and product development functions. The company aims to transform physical security by centralizing workflows in a single AI platform, moving beyond mere incident recording to proactive risk detection. Coram AI reported a 4x revenue increase and tripled its customer base since its \$13.8 million Series A funding last year, and recently introduced "Deep Investigation," a capability utilizing autonomous security agents for comprehensive video analysis and event correlation.

Key takeaway

For Security Directors evaluating next-generation physical security solutions, Coram AI's \$35 million Series B funding and its "Deep Investigation" capability signal a maturing market for proactive, AI-driven platforms. You should assess how autonomous security agents can centralize your workflows and move beyond reactive incident recording to predictive risk mitigation. Consider exploring solutions that leverage advanced AI for comprehensive video and event analysis to significantly enhance your operational efficiency and safety protocols.

Key insights

Coram AI shifts physical security from reactive recording to proactive, AI-driven risk detection and comprehensive investigation.

Principles

• Modern AI can transform large, untransformed industries.
• Centralize siloed security systems for enhanced effectiveness.
• Proactive risk detection surpasses post-incident search.

Method

Coram AI applies automotive-grade AI to physical security, using autonomous agents to analyze video, access events, and visitor activity across systems for proactive risk detection.

In practice

• Deploy autonomous agents for cross-system video analysis.
• Consolidate disparate security systems onto one AI platform.
• Prioritize early risk detection over post-incident review.

Topics

• Coram AI
• Series B Funding
• Physical Security
• AI Product Development
• Autonomous Security Agents
• Video Analytics

Best for: Investor, Entrepreneur, Director of AI/ML

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Editorial summary, takeaway, and curation by AIssential. Original article published by Series A" OR "Series B" OR "Series C" AI startup via Google News.