Coram AI raises $35M for autonomous security cameras

🔑 Enhanced Key Takeaways

•Coram AI was co-founded by Ashesh Jain, former head of autonomy at Lyft's self-driving division and an engineering leader at Zoox, and Peter Ondruska, who led AI research at Lyft and Toyota's Woven division, leveraging their autonomous vehicle AI expertise for physical security.
•The platform integrates with existing security infrastructure, including cameras, badge readers, visitor logs, and emergency systems, to centralize workflows and provide real-time incident detection and faster response without requiring costly hardware replacement.
•Coram AI offers advanced detection capabilities such as enhanced firearm detection, slip-and-fall detection, license plate reading, person-of-interest search, and natural language video search for efficient post-incident investigation.
•Since its $13.8 million Series A funding round last year, Coram AI has experienced rapid growth, quadrupling its revenue and tripling its customer base to over 1,500 sites across the U.S. and Canada, including Fortune 500 companies and school districts.
•The company plans to use the new Series B funds to significantly expand its sales capacity, invest further in AI product development, enhance customer success, and grow its engineering presence in Bengaluru, India.

📊 Competitor Analysis▸ Show

Feature / Company	Coram AI	Verkada	VOLT AI	Eagle Eye Networks
Hardware Integration	Works with any existing IP camera (ONVIF/RTSP compliant); offers own NDAA-compliant cameras.	Proprietary cameras only, requires hardware replacement.	Works with existing IP cameras.	Supports nearly any IP camera.
Architecture	Hybrid edge-cloud (on-premise AI NVR for real-time analytics, cloud for management/storage).	Fully integrated, end-to-end proprietary cloud-managed ecosystem.	Cloud and on-premises deployment options.	Cloud-based video management system (VMS).
Key Differentiator	Open platform, AI-native, natural language search, integrates video, access control, emergency management.	Unified platform with proprietary hardware, seamless all-in-one experience.	Purpose-built for education/healthcare, proactive threat detection, human-in-the-loop verification.	Open API platform for seamless third-party integrations, flexibility, scalability.
Privacy Approach	Privacy-first design, data ownership stays with customer, defines storage/access/deletion. Includes facial recognition.	Suffered major breach in 2021.	Uses behavioral analysis without facial recognition for privacy.	(Insufficient data)
Deployment Time	Advertises 10 minutes setup for Coram Point; multi-site timelines not publicly documented.	Longer implementation due to hardware installation.	Typically completes in days to weeks.	(Insufficient data)

🛠️ Technical Deep Dive

AI-Native Platform: Coram AI embeds intelligence directly into its platform, enabling advanced functionalities like weapon detection, slip-and-fall detection, and natural language alerts.
Hybrid Edge-Cloud Architecture: The system utilizes an on-premise AI NVR (Coram Point) for real-time video analytics at the edge, with the cloud serving as the command center for centralized management, storage, and more advanced AI workflows.
Camera Agnostic: Coram AI is compatible with any ONVIF- or RTSP-compliant IP cameras, allowing organizations to integrate their existing hardware without replacement.
Core AI Features: Capabilities include weapon detection (with enhanced accuracy), slip-and-fall detection, natural language video search, facial recognition, person-of-interest search, license plate reading, anomaly detection, and custom alert creation.
Integration Capabilities: The platform connects with various physical security systems, including badge readers, visitor logs, emergency systems, and access control systems (e.g., Brivo, Openpath) via publicly available APIs.
Coram Point Mini Specifications: This edge device supports up to 4 camera streams (up to 5MP at 15-20 FPS), features an 8-core Arm® Cortex® processor, 16 GB RAM, a 2TB M.2 NVMe OS and Data Drive, up to 30 days of video storage, and supports H.264/H.265 video codecs.
Data Security & Privacy: Coram AI is SOC2 Type II audited and HIPAA compliant, employing industry-leading cybersecurity practices such as TLS encryption, SSO, and MFA, and ensures customers retain ownership and control over their surveillance data.

🔮 Future ImplicationsAI analysis grounded in cited sources

Coram AI will significantly accelerate the adoption of AI-powered physical security solutions in sectors beyond traditional enterprise, such as education and healthcare.

Its hardware-agnostic approach and focus on integrating existing infrastructure lower the barrier to entry for organizations with budget constraints or existing camera investments, as evidenced by its traction in school districts.

The company's expansion into India for engineering development will lead to faster innovation and potentially more localized AI solutions.

Establishing Bengaluru as a key hub for building its global platform suggests a strategic move to tap into a large talent pool and accelerate product development.

Coram AI's emphasis on natural language search and integration of various security data points will set a new standard for investigative efficiency in physical security.

By allowing security teams to query footage and correlate events across disparate systems using plain language, it transforms reactive surveillance into proactive, intelligent analysis.

⏳ Timeline

2021

Coram AI founded by Ashesh Jain and Peter Ondruska.

2023-03

Secured $10 million in Seed Round funding.

2023-08

Raised an additional $5.25 million in seed funding.

2025-01

Closed $13.8 million Series A funding round led by Battery Ventures, bringing total funding to $30 million.

2025-01

Released product updates including improved Firearm Detection and Slip and Fall Detection.

2026-06

Raised $35 million in Series B funding, co-led by Ansa Capital and Battery Ventures, bringing total funding to $66 million.

Coram AI raises $35M for autonomous security cameras

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Key Points

🧠 Deep Insight

🔑 Enhanced Key Takeaways

🛠️ Technical Deep Dive

🔮 Future ImplicationsAI analysis grounded in cited sources

⏳ Timeline

📎 Sources (21)

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