Avathon Government, Inc.

Avathon Government, Inc., a division of Sparkcognition Inc. headquartered in Austin, Texas, operates as a prime contractor (94% of recent awards) delivering artificial intelligence, machine learning, and advanced decision-support capabilities to the Department of Defense, with a heavy emphasis on research, development, and rapid sustainment work. The vendor is structured as a small disadvantaged business and competes predominantly under full-and-open procurement (no set-aside category recurs across the prime footprint), though it has secured SBIR Phase I, II, and III awards designating it a total small business participant.

Avathon's recent contract portfolio centers on defense R&D and operational innovation. Representative work includes a $4.69 million definitive contract awarded by the Department of the Army in October 2025 for a contested logistics software suite providing asset tracking, maintenance intelligence, and predictive maintenance capabilities; a $4.74 million SBIR Phase III award from the Air Force Research Laboratory (dated September 2021) for decision support in the Engineering Technical Assistance Request (ETAR) process; and a $1.98 million SBIR Phase II contract from Naval Sea Systems Command (awarded January 2025) for machine learning and artificial intelligence capabilities supporting the Space-Based Infrared System (SBIRS) High program. Avathon also holds a position on the Scalable Homeland Innovative Enterprise Layered Defense (SHIELD) multiple-award IDIQ with the Missile Defense Agency, awarded January 2026 with a $151 billion ceiling and performance through December 2035. Beyond individual task orders, Avathon sits on the Air Force's Rapid Sustainment Office Multi-Award Contract (RO MAC) IDIQ ($975 million ceiling, awarded July 2024 through July 2033) and maintains a $950 million Joint All Domain Command and Control Support indefinite delivery contract with the Air Force (awarded June 2022, extending to May 2030). The vendor also holds a $249 million JAIC AI Data Readiness Basic Ordering Agreement with the Office of the Secretary of Defense (awarded March 2022, expiring March 2027).

Customer concentration is dominated by the Department of the Air Force, which accounts for four awards carrying $1.93 billion in combined potential value — nearly 88% of Avathon's total contracted value. The Office of the Secretary of Defense anchors the second tier with two awards ($249 million), while the Department of the Navy, Department of the Army, and Air Force Materiel Command Research Laboratory round out the active set. Awards per year have ranged from one (2023) to five (2024), with sixteen total awards in the source window and $2.19 billion in combined potential value against which only $11.9 million has been obligated to date. Three awards carrying combined potential value of $6.7 million face ultimate completion within the next twenty-four months. Avathon also appears as a subgrantee under the National Center for Manufacturing Sciences Inc.'s "Enabling Shipboard Readiness with Digital Maintenance Advisor" grant award (March 2024). The vendor's work spans research and development in physical and engineering sciences (seven awards), applied research in defense contexts (four awards), and prototype development for advanced battle management and contested logistics systems. Across both prime and subcontractor activity, Avathon's capability framing is grounded in AI/ML solutions for command and control, predictive analytics, and decision-support automation for military operations and sustainment.

We Enable Mission Readiness. Avathon harnesses proven AI technology to bolster military readiness, improve decision advantage, and optimize defense operations. Backed by a decade of successful commercial deployments, we provide practical, readiness-focused solutions to upskill maintainers and leverage predictive analytics, partner with the armed forces to enhance domain awareness and decision making, and enable modernization of the defense industrial base by optimizing capital equipment uptime, predicting engine failures, and strengthening supplier quality through advanced technologies like dep learning NLP, generative AI, and computer vision.