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Improving Battle Planning through AI - SBIR is sponsored by Defense Advanced Research Projects Agency (DARPA). This SBIR topic seeks proposals for developing novel technologies that decouple course of action (COA) adjudication from COA planning using reduced-order models (ROMs) for efficient estimation and rapid decision-making in complex battlespace scenarios and advanced war-gaming capabilities.
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Or search similar grants →According to the current listing, eligibility includes: Small businesses. Phase I focuses on researching and developing innovative solutions. Confirm the full requirements in the official notice before applying.
The current listing shows typical funding is $250K over ~6 months for Phase I; $1.8M over 24-36 months for Phase II. Verify award ceilings, matching requirements, and allowable costs in the official notice.
Applications for Improving Battle Planning through AI - SBIR are due July 22, 2026. Build your timeline backwards from this date to cover registrations, approvals, and final submission checks.
Improving Battle Planning through AI - SBIR is funded by Defense Advanced Research Projects Agency (DARPA). Verify program details on the funder's official page before applying.
Yes — this listing is flagged as national in scope, so applicants across the U.S. may apply, subject to the sponsor's other eligibility criteria.
Applications go through the funder's official portal — the Apply Now link on this page goes there directly.
Past winners and funding trends for this program
DARPA's Defense Sciences Office launched the Mathematics of Boosting Agentic Communication (MATHBAC) program on April 7, 2026, under solicitation DARPA-PA-26-05. MATHBAC aims to develop the mathematical and scientific foundations needed to make networks of AI agents collaborate more effectively and ultimately accelerate the pace of scientific discovery for national defense. The program seeks innovative research proposals that advance foundational mathematics, systems theory, and information theory required to enable and understand science-discovery by autonomous agents and agent collectives. Researchers will develop tools to model individual AI agents as mathematical operators, analyze how different communication structures affect a team's ability to solve problems, and build software that lets researchers design optimized multi-agent communication protocols without large-scale trial and error. Key technical areas include multi-agent communication protocols, agentic AI coordination, formal models of collective intelligence, and mathematical frameworks for agent-to-agent collaboration. The program is structured as a 34-month, two-phase effort with Phase I running approximately 16 months and capping individual awards at $2 million. A Proposers Day was held on April 21, 2026. Abstracts were strongly encouraged by April 30, 2026 but are not mandatory. Full proposals are due June 16, 2026, with program performance expected to begin September 15, 2026.
Information Processing Techniques Office Office-Wide (HR001126S0011) is sponsored by Defense Advanced Research Projects Agency (DARPA). DARPA programs focus on fundamental research required to establish proof of concept in science and technology fields crucial for national security. While broad, DARPA often has interests in cybersecurity as part of its mission to prevent technological surprise.
DoD Multidisciplinary Research Program of the University Research Initiative (MURI) is sponsored by Department of Defense (DoD) - Office of Naval Research (ONR). The Multidisciplinary Research Program of the University Research Initiative (MURI), administered by the Department of Defense Office of Naval Research, supports basic research in science and engineering at U. S.
SBIR SF254-D1206: Knowledge-Guided Test and Evaluation Frameworks for proliferated Low Earth Orbit Constellations is sponsored by U.S. Air Force. DOD SBIR topic SF254-D1206: Knowledge-Guided Test and Evaluation Frameworks for proliferated Low Earth Orbit Constellations. Component: U.S. Air Force. Command: SDA. Solicitation: DoD SBIR 2025.4. Phase(s): D2PII, II, SPII. Status: Pre-Release. Open date: 3/4/2026.
DARPA's Non-Volatile Memory for Extreme Environments topic (DPA26BZ04-DV017) is a Direct-to-Phase-II SBIR worth $1.2 million for radiation-hardened NOR Flash that works from -269°C to +600°C. It opened July 22 and closes August 19, 2026. Here is why the no-Phase-I structure narrows the field to a handful of teams, what the rad-hard specs actually demand, and how a qualified company should sequence a proposal in under a month.
Read articleDARPA's FALCON SBIR topic (DPA26BZ04-DV016) is a Direct-to-Phase-II award worth $1.5 million to teams that can marry the statistical rigor of classical machine learning with the contextual reach of large language models. It opened July 22 and closes August 19, 2026. Here is why the no-Phase-I structure changes who can win, what the hallucination-mitigation requirement really demands, and how a small team should sequence a proposal in under four weeks.
Read articleDARPA pre-released two Release 4 SBIR topics on July 1 — FALCON, fusing efficient ML with large language models, and a non-volatile memory system rated for space and deep-cryogenic extremes. Both open July 22 and close August 19, 2026. Here's what each topic is really asking for and how to build a competitive proposal.
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