Israel

Defensetech Startup Airis Labs Raises $60 Million in Funding

May 28, 2026 | By Yan li

Defensetech Startup Airis Labs Raises $60 Million in Funding

Israeli AI defense technology startup Airis Labs has come out of “stealth mode,” meaning it has now officially revealed itself to the public. The company announced that it has raised a total of US$60 million in funding.

This includes a US$31 million Series B investment round led by PSG Equity. Other investors also took part, including TLV Partners, Stepstone Group, Redseed Ventures, and angel investors such as Eyal Waldman, Jeff Horing, Yasmin Lukatz, and David Chinn.

Airis Labs takes unorganized visual data from sources like smartphones, social media, digital forensics tools, security and body cameras, and drones. It then converts this data into information that computers can easily read and understand.

The company calls this new type of information “User-Generated Field Intelligence.” It is different from regular video analysis, open-source intelligence, or general data combining systems.

Friedman said, "Government teams do not have a shortage of raw visual data. They have a shortage of machine-readable understanding. The next generation of AI used by government agencies needs to understand the physical world: what happened, where it happened, what changed, what matters, and what requires human judgment. Airis gives analysts and operators the clarity to act faster and with greater confidence."

"Airis Labs is the rare company that was born from a deep understanding of the problem space," said Eyal Waldman, Airis board member and Former founder-CEO of Mellanox Technologies (acquired by NVIDIA). "The founders understand the mission because they've lived it. That's not something you can replicate, and it's why I'm proud to back them."

Founded in 2023 by Noam Friedman, Rotem Abeles, and Amos Lahav, the company’s AI video platform is used by government organizations around the world. It helps turn large amounts of visual data into real-time, useful information.

The system collects all types of visual content, including unorganized and user-generated videos, and combines them into one unified intelligence system. AI agents can work at a very large scale across different missions, making sure important signals are not missed. This also helps human analysts by saving their time so they can focus on important decisions that only people can make.

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