Coram AI, a startup that applies artificial intelligence to existing security camera systems for real-time incident detection, raised $35 million in Series B funding. The round brings the company's total funding to $66 million.
Coram AI's platform transforms passive security infrastructure into active threat detection systems. Rather than requiring new hardware installations, the company's AI works with security equipment organizations already own, analyzing footage to identify incidents as they occur.
The startup addresses a critical gap in security operations: most surveillance systems generate useful data only after incidents happen. Coram AI's software processes camera feeds in real time, enabling security teams to respond immediately rather than conduct post-event reviews.
The Series B funding will support expansion of Coram AI's technology and market reach. Organizations across various sectors—from enterprise facilities to critical infrastructure—rely on security cameras but often lack efficient methods to extract actionable intelligence from the footage.
The company's approach to retrofitting existing systems positions it as a cost-effective alternative to complete security overhauls, allowing enterprises to upgrade capabilities without replacing their current infrastructure investments.
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Singapore-based AI infrastructure startup Acrab raised $130 million in Series B funding, surpassing $480 million in total capital raised. The round was backed by existing investors including Vertex Ventures.
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