SBIR/STTR Research Award

Autonomous COA Engine for Multi-Domain Operations

Award identifier 93ca2247ce8f2af948983ae7e7d76e8f182f68ff3565006af66cff32a06ac212Awarding agency Department of Defense · Office of the Secretary of Defense

Award amount

$149,147

Program and phase

SBIR · Phase I

Award year

2025

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Award details

Awarding agency
Department of Defense
Branch
Office of the Secretary of Defense
Recipient company
Pytho AI
Proposal award date
2025-08-28
Contract end date
2026-02-28
UEI
DOD1QdTXIAYO
Solicitation number
25.4
Topic code
OSD254-P001

Research abstract

Pytho, harnessing the latest advancements in Artificial Intelligence (AI) across industry, government, and academia, proposes a groundbreaking approach to using Agentic AI for Course of Action Analysis; this capability empowers warfighters to win the decision advantage in Multi-Domain Operations.áAt the core of this approach is Pythoĺs Agentic COA Analysis Engine, powered by cutting-edge Generative AI models and frameworks, designed to enable AI Agents to autonomously execute COA analysis while providing actionable insights. The engine empowers warfighters to integrate multimodal and unstructured data, develop comprehensive COAs, analyze those COAs, and recommend the best COA in a truly continuous and scalable manner. The entire Generative AI System is built upon a foundation of Explainable AI, so that warfighters know where all model-generated information is coming from with step-by-step model reasoning explained along the way.á

Technology keywords

Not reported

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Agency intelligence

Department of Defense

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