Scale AI is proud to announce the acquisition of ICG Solutions, a defense technology firm specializing in real-time streaming data analytics. This acquisition marks a milestone in our mission to provide the U.S. Department of War and the broader Intelligence Community with the most advanced, reliable AI infrastructure available.
By formally integrating ICG’s technology with Scale’s agentic platform, we are creating a unique, end-to-end intelligence solution. This full-stack approach allows government customers to move from raw data to situational awareness and AI-driven action within a single, secure environment - a capability that is currently unmatched in the marketplace.
15 Years of Proven Mission Impact
Since its founding in 2010, ICG has been dedicated to helping national security customers extract mission-critical value from complex, multi-source streaming data. ICG’s flagship product, LUX™, has been a critical asset for the national security community, excelling at ingesting, correlating, and real-time alerting of massive data streams.
ICG’s expertise and LUX™ technology is currently leveraged across defense and intelligence components and is a core component of Scale’s own work on major Department of War programs. Formalizing this partnership ensures we can accelerate the development and deployment of data-driven AI capabilities for America’s most sensitive intelligence and defense use cases.
Leading the AI-First Transition
The landscape of national security is shifting rapidly. The Department of War’s January 2026 AI-First strategy memo and the GenAI.mil rollout underscore a clear mandate: the speed of frontier AI adoption is now a primary focus for American defense. Together, we are positioned to lead the government through this critical AI transition.
ICG will initially operate as a wholly owned subsidiary of Scale to ensure zero disruption to existing mission continuity and contract delivery. We are thrilled to welcome the ICG team to Scale - together we are a force multiplier for the missions that matter most.