Airis Labs comes out of stealth with $60M and a video-intelligence pitch to defence agencies

Airis Labs, a defense-AI company founded in Tel Aviv, emerged publicly with $60M in total funding after closing a $31M Series B led by PSG Equity. The round also included TLV Partners, Stepstone Group, Redseed Ventures, and angel investors such as Eyal Waldman. The company is scaling US operations from Washington DC. Airis builds a video-first intelligence platform that ingests fragmented visual inputs including security camera footage, drone feeds, body-camera recordings, smartphone uploads, social-media imagery, and user-generated field intelligence. The platform produces machine-readable structured output that analysts and AI agents can query, reason over, and act on. The target customers are government organizations worldwide, including selection into the Oracle Defense Ecosystem.

"Airis Labs, the defence-AI startup that has spent the past two and a half years operating in stealth, emerged publicly on Tuesday with $60m in total funding, including a $31m Series B led by US growth-equity firm PSG Equity. The round brings in TLV Partners, Stepstone Group, Redseed Ventures, and angel investors including Eyal Waldman, the former Mellanox co-founder and chief executive whose company was sold to Nvidia for roughly $7bn in 2020."

"Airis builds what it calls a video-first intelligence platform: software that ingests fragmented visual data, security camera footage, drone feeds, body-camera recordings, smartphone uploads, social-media imagery, and the long tail of what it labels “user-generated field intelligence”, and produces machine-readable structured output that analysts and AI agents can query, reason over, and act on."

"The category, on the company's framing, is distinct from traditional video analytics, open-source intelligence platforms, and generic data-fusion tools. The customer base, on its own count, is government organisations worldwide, with named selection into the Oracle Defense Ecosystem."

"Government investigators and military intelligence teams now drown in unstructured visual data. A typical urban-incident investigation can produce thousands of hours of mixed-source footage; a typical drone-mission archive can fill terabytes of unindexed video. Human analysts cannot review that volume fast enough to catch operationally relevant signals before they age out."

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