Next-Generation AI/ML Ops for US Army TITAN Program

C3 AI’s Application Platform will provide AI/ML model operations for best-of-breed third-party models across the TITAN enterprise, including both cloud and intermittently connected edge environments By DA Reporter / 07 Jul 2022
Next-Generation AI:ML Ops for US Army TITAN Program

Raytheon Technologies has selected C3 AI’s Application Platform to deliver next-generation Artificial Intelligence (AI) and Machine Learning (ML) capabilities for a ready-now solution for the US Army’s Tactical Intelligence Targeting Access Node (TITAN) program. 

The Raytheon Technologies team, led by Raytheon Intelligence & Space, is in competition to design TITAN to serve as the Army’s underpinning solution to enable multi-domain operations.

TITAN is a tactical ground station that finds and tracks threats to support long-range precision targeting, further advancing the US Department of Defense (DoD)’s strategy for Joint All Domain Command and Control (JADC2) capabilities necessary to support US national security interests. 

The C3 AI Application Platform will provide AI/ML model operations for best-of-breed third-party models across the TITAN enterprise, including both cloud and intermittently connected edge environments.

“This work combines Raytheon Intelligence & Space’s expertise in aerospace and defense with C3 AI’s proven expertise in enterprise AI to support critical national security interests through next-generation technology,” said Thomas M. Siebel, Chairman and CEO of C3 AI. “We look forward to working with Raytheon Technologies to deliver this new AI-powered, mission-ready solution of the future.”

TITAN will ingest data from space and high-altitude, aerial, and terrestrial sensors to provide targetable data to defense systems. It will also provide multi-source intelligence support to targeting, and situational awareness and understanding for commanders. Leveraging capabilities that support pattern-of-life sensemaking and automated target recognition, the TITAN solution will also help operators make sense of the massive amounts of data and prosecute a target with the appropriate solution.

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