The defense technology sector is experiencing a massive wave of innovation as artificial intelligence transitions from a conceptual software tool into real-world operational environments.
In a major development for the industry, Airis Labs, an AI-driven defense-tech startup, has officially emerged from stealth mode. The company announced it has secured a total of $60 million in funding to scale its operations and accelerate its cutting-edge video-intelligence platform.
The Backing: A $31M Series B Led by PSG Equity
The transition out of stealth is underscored by a freshly closed $31 million Series B investment round.
The funding round was led by PSG Equity, a prominent growth equity firm known for backing transformational software companies. The round also saw active participation from key institutional investors and prominent tech figures, including:
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Institutional Investors: TLV Partners, Stepstone Group, and Redseed Ventures.
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Angel Investors: Eyal Waldman (former founder and CEO of Mellanox Technologies, acquired by NVIDIA), Jeff Horing, Yasmin Lukatz, and David Chinn.
“Airis Labs is the rare company that was born from a deep understanding of the problem space,” stated Eyal Waldman, an Airis board member. “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.”
Defining a New Category: User-Generated Field Intelligence
Modern government, defense, and law enforcement agencies do not lack visual data. Between smartphones, social media feeds, digital forensics, drone footage, CCTV infrastructure, and body cameras, intelligence teams are flooded with thousands of hours of unindexed, fragmented recordings.
The bottleneck isn’t collecting the data—it is processing it before the information becomes obsolete. Airis Labs solves this problem by taking completely unorganized visual content and translating it into a uniform layer that computers can easily process and understand.
The company has pioneered a distinct technology category called User-Generated Field Intelligence (UGFI).
How UGFI Differs from Traditional Tools
Unlike standard open-source intelligence (OSINT) or basic video analytics tools that rely on narrow object classification (like counting cars or detecting motion), Airis Labs focuses on deep semantic and contextual understanding.
| Feature | Traditional Video Analytics & OSINT | Airis Labs (UGFI) |
| Data Ingestion | Limited to specific, pre-configured camera formats or web links. | Agnostic ingestion of smartphones, body-cams, drones, and forensic tools. |
| Analytical Depth | Basic object recognition or simple metadata matching. | Complete behavioral context: what happened, what changed, and where it occurred. |
| Operational Workflow | Forces analysts to juggle multiple isolated software windows. | Consolidates fragmented feeds into a single, unified search interface. |
Field-Tested and Built for Critical Decision-Making
Founded in 2023 by national security veterans Noam Friedman (CEO), Rotem Abeles (CPO), and Amos Lahav (CBO), the platform’s team draws from deep operational backgrounds, including alumni from Palantir, Meta, and elite intelligence units.
Unlike many AI models trained entirely within sterile corporate laboratories, Airis Labs was deployed directly into chaotic, high-stakes operational environments within months of its inception. The platform is already actively utilized by government organizations worldwide to streamline complex investigations. According to industry reports, the software can accelerate certain video analysis tasks by a factor of 150.
“Government teams do not have a shortage of raw visual data. They have a shortage of machine-readable understanding,” explained co-founder and CEO Noam Friedman. “The next generation of AI used by government agencies needs to understand the physical world… Airis gives analysts and operators the clarity to act faster and with greater confidence.”
By deploying infinite, highly scalable AI agents across active missions, the platform ensures critical signals are caught immediately. More importantly, it acts as a force multiplier for human personnel, freeing up analysts from manual video scrubbing so they can focus on high-level strategy and judgment calls that only humans can make.
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Ruchi Kumar is the associate editor at Entrepreneur News Network and TVW News India, where she leads editorial strategy, brand storytelling, and startup ecosystem coverage. With a strong focus on innovation, business, and marketing insights, he curates impactful narratives that spotlight India’s evolving entrepreneurial landscape. She has written extensively on fintech, AI and emerging startups.