Zapata AI to Deliver Real-Time Intelligence for Warfighters

The collaboration aims to enhance real-time intelligence and decision support for USSOCOM’s Hyper-Enabled Operator and Force programs with state-of-the-art AI on the edge

BOSTON, Aug. 13, 2024 (GLOBE NEWSWIRE) -- Zapata Computing Holdings Inc. ("Zapata AI") (Nasdaq: ZPTA), a leading provider of industrial-grade software for enterprise AI, has entered a Cooperative Research and Development Agreement (CRADA) with the U.S. Special Operations Command ("USSOCOM").

Key Highlights of the CRADA include:

• Empowering USSOCOM with advanced AI tools to enhance situational awareness, real-time decision-making, and operational readiness in challenging environments and contested spaces.

• Accelerating USSOCOM’s ability plan, create, and deliver AI-driven advantage to align closely with specific mission objectives and parameters.

• Deepening Zapata AI's existing relationship across the United States Department of Defense innovation ecosystem.
  

Under the terms of the CRADA, Zapata AI will leverage its Orquestra platform to speed up the model development lifecycle (MDLC) and create AI and ML applications that enhance mission performance for USSOCOM's Hyper-Enabled Force (HEF) initiatives. The decision-support capabilities developed by the partnership will run on the edge in low connectivity environments on ruggedized high-performance computing (HPC) hardware.

"We are proud to support the brave men and women of USSOCOM in defending our national security around the world," said Christopher Savoie, CEO and co-founder of Zapata AI. "Our battle-tested Orquestra platform, our ability to ingest and process vast amounts of streaming data in real-time, and our experience in rapidly deploying AI solutions in challenging environments will enhance USSOCOM's operational readiness with cutting-edge intelligence capabilities."

The collaboration with USSOCOM builds on Zapata AI's success in supporting Andretti Global's complex race intelligence and advanced analytics needs. In both cases, Zapata AI deploys an ensemble of small, specialized AI models at the edge, providing real-time analytics and decision support in environments with limited or unpredictable connectivity. Zapata has proven in its production solutions that deploying an ensemble of targeted models, rather than a single large, generalized AI model, delivers superior performance for mission-critical applications where speed and accuracy are paramount.