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The Award database is continually updated throughout the year. As a result, data for FY24 is not expected to be complete until March, 2025.

Download all SBIR.gov award data either with award abstracts (290MB) or without award abstracts (65MB). A data dictionary and additional information is located on the Data Resource Page. Files are refreshed monthly.

The SBIR.gov award data files now contain the required fields to calculate award timeliness for individual awards or for an agency or branch. Additional information on calculating award timeliness is available on the Data Resource Page.

  1. CYRIN-OT: Advanced Cyber Range for Operational Technology Digital Twins

    SBC: ATC-NY INC            Topic: DLA232004

    Industrial control system (ICS) operational technology (OT) systems enable increased process efficiency and cost savings.  At the same time, they allow for increasingly complex cyber-attacks with devastating physical impacts.  The ATC-NY team will design and build CYRIN-OT, a system for creating virtual “digital twins” of OT networks and performing security assessments on them.  Any diverge ...

    SBIR Phase I 2023 Department of DefenseDefense Logistics Agency
  2. 97ND7-SP4701-22-P-0061-Phase II Report-Innovative Approaches to the Headlamp Redesigns

    SBC: MAGWERKS VISION INC.            Topic: DLA222002

    GVSC Sustainment Engineering has requested information for a project to replace Lamp, Halogen 12360840-1 due to stock issues. MWV has met with the team and understand the request. Based upon initial concept discussions, MWV has the ability to design and supply a replacement solution. This will include removing existing Lens, Lamp, Reflector and all hardware needed for these items. MWV will then re ...

    SBIR Phase II 2023 Department of DefenseDefense Logistics Agency
  3. Automated Through Thickness Reinforcement for Affordable & Robust High Temperature Composite Structures

    SBC: James L. Gallagher, Inc.            Topic: DLA231D07

    The national imperative to field hypersonic weapon systems has increased the demand for robust, lightweight, and affordable high temperature materials for thermal protection systems.  Refractory composites such as carbon-carbon (C/C) or carbon/SiC (C/SiC) offer enormous promise, but wider-scale acceptance continues to be hindered by certain technical and affordability limitations.  Key among the ...

    SBIR Phase II 2023 Department of DefenseDefense Logistics Agency
  4. Reinforcement Learning with Intelligent Context-based Exploration (RL-ICE)

    SBC: SOAR TECHNOLOGY INC            Topic: SCO182006

    This effort will extend the RL-ICE capability for low-shot object detection to operate with zero real data within the MWIR band (zero-shot learning). Our goal is to 1.) mature our software, 2.) maximize the performance benefit of synthetic data in training an object detector and, 3.) assess the trade-space of real vs synthetic data by comparing performance to a detector trained on fully real data. ...

    SBIR Phase II 2023 Department of DefenseOffice of the Secretary of Defense
  5. Monolithic Integrated High performance SiGeSn Imaging Sensor    

    SBC: EPITAXIAL LABORATORY INC            Topic: OSD22B003

    This proposal describes development of a scalable processes compatible with standard CMOS BEOL processes for fabrication of monolithically integrated image sensors operating between 2 and 5 microns. In Phase I, we will demonstrate the effectiveness of the process for dramatically improving quality of the materials. High EQE, low noise, and megapixel (1024x1024) image sensors will be fabricated in ...

    STTR Phase I 2023 Department of DefenseOffice of the Secretary of Defense
  6. An Improved Mesophase Pitch Process for Carbon-Carbon Composites

    SBC: ACPT            Topic: DLA222007

    ACP Technologies, LLC (ACP) proposes to support DLA efforts by leveraging ACP-patented processes to develop an improved production process for mesophase pitch and carbon-carbon composites that is more efficient, costs less, and produces a superior product. ACP is an innovator of advanced manufacturing technologies that create optimized, lower-cost, lighter-weight, domestically-produced carbon mate ...

    SBIR Phase I 2022 Department of DefenseDefense Logistics Agency
  7. MagWerks Lamps for Drop-in Energy Efficient Vehicular Lighting

    SBC: MAGWERKS VISION INC.            Topic: DLA222002

    MagWerks Vision Inc. will perform a feasibility study for their vehicular lighting system as it applies to the B-52H bomber aircraft.  Through this phase I effort, MWV aims help the Air Force achieve its goal of “resiliency and redundancy” by designing, testing, and validating its lighting solution for application to Air Force aircrafts, specifically the B-52H (af.mil). The expectation is th ...

    SBIR Phase I 2022 Department of DefenseDefense Logistics Agency
  8. Rapid densification for solid-state electrolyte production

    SBC: ZAKURO INC            Topic: DLA203004

    Solid-state batteries promise energy densities well beyond that of current Li-ion batteries while providing additional safety through the elimination of the flammable liquid electrolyte. Of the solid-electrolytes currently under development, Li7La3Zr2O12 (LLZO) is attractive due to its inherent stability versus Li metal. One drawback for LLZO and any oxide electrolyte is the high temperatures requ ...

    SBIR Phase II 2022 Department of DefenseDefense Logistics Agency
  9. Engaging the Small Business manufacturing Defense Industrial Base

    SBC: ADAPTIVE MANUFACTURING SOLUTIONS LLC            Topic: DLA221001

    DLA has a desire to expand and increase the number of small manufacturers to address DOD demands and grow the Defense Industrial Base (DIB).  More qualified sources of supply are needed to improve DLA product availability, provide competition to reduce cost and lead time, address lifecycle performance issues, and potentially improve upon the current part design.  Working collaboratively, AMS a W ...

    SBIR Phase I 2022 Department of DefenseDefense Logistics Agency
  10. QUINN (Quantum INspired Neural Networks)

    SBC: SOAR TECHNOLOGY INC            Topic: SCO183001

    QUINN (Quantum INspired Neural Networks) is a cybersecurity implementation to be deployed alongside a machine learning system (especially a reinforcement learning, active learning, and computer vision system) to harden said system from both standard generative adversarial attacks (noise injection) and cyber-physical attacks. This protection is provided by three unique components that perform attac ...

    SBIR Phase II 2022 Department of DefenseOffice of the Secretary of Defense
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