SBIR/STTR Research Award

STRATEGIC Engine: Strategic Training and Robust AI for Transferable and Effective - PHASE II

Award identifier 0b77c717de1a68ffbf5596b63e16f6b0077107564320826737e8c56898904f46Awarding agency Department of Defense · Air Force

Award amount

$1,799,639

Program and phase

SBIR · Phase II

Award year

2025

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Award details

Awarding agency
Department of Defense
Branch
Air Force
Recipient company
Code Metal, Inc.
Proposal award date
2025-05-15
Contract end date
2026-12-18
UEI
K3ZYBLDXBBM4
Solicitation number
24.1
Topic code
AF241-0001

Research abstract

The Phase II STRATEGIC Engine effort will deliver an AI-enabled, distributed multiplayer wargaming platform that integrates with the Air Force WarEngine ecosystem, DARPA’s SCEPTER program, and the HAF/A5/7 Wargaming Database and Cloud infrastructure. It supports wargaming analysis tools for both operational and strategic-level scenarios involving AI agents. Building on Phase I prototypes, this project enhances real-time scenario simulation, multi-agent reinforcement learning (RL), and large language model (LLM) capabilities in alignment with SCEPTER’s focus on advanced AI-driven tactics.Key technical objectives include:Modular and extendable decision support tool platform: Consolidate WarEngine modules (advanced under a prior CodeMetal Phase III) for planning (Killchain), adjudication (Combat), and damage assessment (DRAGN, GAD-VAM) into a single environment via common interfaces. This objective also includes incorporating the DAF-MIT Capture the Flag environment (developed under a previous Code Metal Phase III) to demonstrate platform and decision support tool interchangeability.Robust APIs: Provide seamless data exchange, including geospatial visualization and AI agent integration through commercial open source interfaces.Distributed Multiplayer Roles: Enable concurrent strategic and operational roles within distributed, multiplayer wargames.Secure Containerization: Package all components for deployment on Air Force networks and government cloud platforms.A headless mode enables faster-than-real-time AI training, which is vital for RL experimentation, while a web-based dashboard delivers intuitive controls, geospatial overlays, and automated Course of Action (COA) comparisons. By standardizing data flows and automating scenario adjudication, STRATEGIC Engine sharply reduces the manual workload common to Title 10 wargames. At the same time, it leverages SCEPTER’s advanced AI capabilities to explore new strategies in large-scale, realistic conflict simulations. This integrated framework accelerates insight generation for Air Force planners and establishes a foundation for continued AI-driven research and development. The final product will be a fully integrated, containerized software suite, complete with documentation and user training.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

2 SBIR/STTR records share this UEI (2024–2025). Reported award amounts total $1,944,295. Reported amounts are not federal obligations.

Phases: Phase II, Phase I

Agencies: Department of Defense

Agency intelligence

Department of Defense

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