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E-2D Large Language Model Entity (ELLMENT) - SBIR Topic DON26BZ01-NV010 is a Small Business Innovation Research grant from the U.S. Navy that funds development of a traceable, explainable Large Language Model to serve as an on-demand decision-support assistant for Naval Flight Officers aboard E-2D carrier-based airborne early warning aircraft. The Phase I award is $240,000.
The LLM must operate in a stand-alone configuration with information assurance compliance, source attribution, and model transparency. Work produced in Phase II may become classified. The application deadline is April 29, 2026.
Eligible applicants are for-profit U.S. small businesses at least 51% owned and controlled by U.S. citizens.
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E-2D Large Language Model Entity (ELLMENT) - SBIR Topic DON26BZ01-NV010 — BW&CO E-2D Large Language Model Entity (ELLMENT) - SBIR Topic DON26BZ01-NV010 Active specific topic DSIP This topic was temporarily posted by the Department of War SBIR Program on March 2nd 2026 and removed the following day.
We believe this topic is planned to be released once the SBIR program is reauthorized; however, this topic may ultimately be modified or withdrawn.
Notify Me When This is Released Notify Me When This is Released Develop and implement a traceable, explainable, referenced, and reasoned Large Language Model (LLM) that functions as an on-demand Natural Language Processing (NLP) decision-support assistant for Naval Flight Officers (NFOs) and mission crew aboard a carrier-based, all weather, tactical battle management, airborne early warning, and command and control aircraft.
Artificial Intelligence/Machine Learning (AI/ML) technologies are transforming how complex data is understood and acted upon in operational environments.
This SBIR topic seeks to explore the development of a domain-specific LLM system to support rapid insight generation from structured and unstructured documents (e.g., Tactics, Techniques, and Procedures [TTPs]), mission logs, communications, and other high-volume data sources relevant to tactical operations.
The goal is to deliver a modular, self-contained AI/NLP solution that can assist NFOs and mission crew by summarizing, reasoning over, and extracting meaning from dense operational material in real time.
This LLM must be specifically designed to operate in a stand-alone configuration in accordance with information assurance policies, with mechanisms for traceability, where the information came from and how is it connecting to the goal, source attribution, and model transparency. The system must also support future extensibility to multi-modal data ingestion. Work produced in Phase II may become classified.
Note: The prospective contractor(s) must be U.S. owned and operated with no foreign influence as defined by 32 U.S.C. § 2004. 20 et seq.
, National Industrial Security Program Executive Agent and Operating Manual, unless acceptable mitigating procedures can and have been implemented and approved by the Defense Counterintelligence and Security Agency (DCSA) formerly Defense Security Service (DSS). The selected contractor must be able to acquire and maintain a secret level facility and Personnel Security Clearances.
This will allow contractor personnel to perform on advanced phases of this project as set forth by DCSA and NAVAIR in order to gain access to classified information pertaining to the national defense of the United States and its allies; this will be an inherent requirement.
The selected company will be required to safeguard classified material during the advanced phases of this contract IAW the National Industrial Security Program Operating Manual (NISPOM), which can be found at Title 32, Part 2004. 20 of the Code of Federal Regulations If you can achieve the objective above better than any other company on the market, you have a very high-likelihood of success and should apply. Who is eligible to apply?
Any company that meets the following criteria: U.S.-owned and controlled. 500 or fewer employees (including affiliates) 1) End-to-end support including, strategy, writing of the full proposal, and administrative & compliance support. 2) Proposal strategy and review.
3) Administrative & compliance support. Request to talk with a member of our team by completing the form below: Defense & Dual Use Technology NAVY Artificial Intelligence & Machine Learning Cybersecurity Aerospace & Spacetech https://www. bwcoconsulting.
com Compact Battery Operated Mid-wave Infrared (MWIR) Hyperspectral, High-Definition, Real-Time Video Camera Integrated with Photonic Crystal - SBIR Topic DON26BZ01-NV011 Robust Universal Adaptive Denoising Technology - STTR Topic DON26TZ01-NV009
Based on current listing details, eligibility includes: For-profit small business concerns organized for profit, with a place of business in the United States; at least 51% owned and controlled by one or more U. S. citizens. Applicants should confirm final requirements in the official notice before submission.
Current published award information indicates $240,000 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.
Broad Agency Announcement (BAA) Call N0001425SBC03 For Office of Naval Research (ONR) Global Opportunity: GlobalX Innovation Joint Challenge: AI for Advancing Maritime Security is sponsored by Office of Naval Research (ONR) Global. This BAA Call seeks proposals for the GlobalX Innovation Joint Challenge: AI for Advancing Maritime Security. It funds the development of artificial intelligence solutions for maritime security applications, focusing on innovative AI algorithms for challenging maritime scene perception scenarios using real-world or synthetic data from UxV platforms. The program aims to accelerate the traditional knowledge generation cycle, leading to revolutionary dual-use capability for the U.S. Navy and Marine Corps and the commercial marketplace. White papers are highly encouraged and due May 23, 2025, with full proposals due June 23, 2025.
Operation Stonegarden (OPSG) is a federal grant program administered by FEMA through the Office of the Governor's Public Safety Office that funds enhanced border security cooperation among Customs and Border Protection (CBP), U.S. Border Patrol, and state, local, tribal, and territorial law enforcement agencies. The program supports joint operations to secure land and water border routes, improve intelligence sharing, and expand 287(g) screening operations within correctional facilities. In 2025, the national priority is Supporting Border Crisis Response and Enforcement, covering training, operational coordination, and risk management. Eligible expenses include operational overtime costs, staffing support for screening activities, and training programs in immigration law, civil rights protections, and 287(g) procedures.