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This DoD SBIR Phase I topic seeks small businesses to develop AI-enabled mission debriefing tools that fuse decision-making data from human pilots and autonomous aircraft into actionable post-mission analysis. The system must log, analyze, and visualize autonomy decision chains to improve transparency, trust, and operational learning in human-autonomy teaming scenarios.
As the Air Force increasingly deploys Collaborative Combat Aircraft (CCAs) alongside manned fighters, understanding how AI autonomous agents make decisions during missions becomes critical for improving tactics, building pilot trust, and refining autonomy algorithms.
The debriefing system should provide intuitive visualizations of AI decision points, counterfactual analysis of alternative autonomous actions, and correlation of autonomous decisions with mission outcomes. This topic is part of DoD SBIR Release 26. 2 and represents a growing investment in human-AI teaming tools for next-generation air combat operations.
Successful Phase I performers may be invited to submit Phase II proposals for prototype development up to $1. 7 million.
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Search similar grants →Based on current listing details, eligibility includes: U.S.-based for-profit small businesses with 500 or fewer employees. Must be organized for profit, independently owned and operated, not dominant in the field, and with principal place of business in the United States. STTR proposals may include university or research institution partnerships. Applicants should confirm final requirements in the official notice before submission.
Current published award information indicates Phase I award of approximately $140,000 for feasibility study. Phase II follow-on awards up to $1,700,000 for prototype development. Always verify allowable costs, matching requirements, and funding caps directly in the sponsor documentation.
The current target date is April 29, 2026. Build your timeline backwards from this date to cover registrations, approvals, attachments, and final submission checks.
Federal grant success rates typically range from 10-30%, varying by agency and program. Build a strong proposal with clear objectives, measurable outcomes, and a well-justified budget to improve your chances.
Requirements vary by sponsor, but typically include a project narrative, budget justification, organizational capability statement, and key personnel CVs. Check the official notice for the complete list of required attachments.
Yes — AI tools like Granted can help research funders, draft proposal sections, and check compliance. However, always review and customize AI-generated content to reflect your organization's unique strengths and the specific requirements of the solicitation.
Review timelines vary by funder. Federal agencies typically take 3-6 months from submission to award notification. Foundation grants may be faster, often 1-3 months. Check the program's timeline in the official solicitation for specific dates.
Many federal programs offer multi-year funding or allow competitive renewals. Check the official solicitation for continuation and renewal policies. Non-competing continuation applications are common for multi-year awards.
The Department of the Air Force Small UAS and Asymmetric Capabilities Commercial Solutions Opening (CSO Call 001) seeks innovative low-cost unmanned aircraft systems capable of autonomous, high-speed, long-range operations. This program is part of the broader DoD push to rapidly scale autonomous drone capabilities, with Congress allocating over $1 billion to expand the attack drone industrial base. The CSO targets commercial technology developers with existing autonomous UAS solutions that can be rapidly adapted for military applications. Focus areas include AI-driven flight control, resilient communications for GPS-denied environments, swarm coordination, electronic warfare payloads, and modular mission configurations. Solutions must demonstrate the potential for rapid production scaling and cost-effective manufacturing. This opportunity is distinct from SBIR programs in that it is open to companies of any size and uses a streamlined commercial contracting pathway rather than traditional defense acquisition processes.
This DoD SBIR Phase I topic seeks runtime monitoring systems that detect and mitigate errors in AI-driven autonomy for unmanned aerial platforms, ensuring safe flight and mission execution. The system must identify faulty autonomous decisions in real time and trigger corrective actions to maintain operational safety. As autonomous unmanned platforms become central to Air Force operations, ensuring that AI decision-making remains reliable and recoverable during mission execution is a critical safety requirement. The runtime assurance system should monitor AI outputs against defined safety boundaries, detect anomalous autonomy behavior, implement graceful degradation when AI systems malfunction, and provide real-time logging for post-mission analysis. This technology is essential for building the trust and reliability needed to deploy autonomous systems in contested and complex environments. Part of DoD SBIR Release 26.2, this topic addresses the Air Force's need for verified and validated autonomy that can be trusted for operational deployment. Successful Phase I performers may compete for Phase II prototype development funding.