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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. Landing Gear Fatigue Model K Modification

    SBC: MARK G. MILLER, INC.            Topic: AF161018

    Air Force landing gear systems are subjected to surface treatment processes (e.g., chrome plating, cadmium plating, anodizing) an indefinite number of times throughout their service life. During these processes, components are exposed to environments and chemicals which affect material surface conditions (e.g., roughness, residual stresses, microstructure) and reduce fatigue life. This reduction i ...

    SBIR Phase II 2018 Department of DefenseAir Force
  2. Near Field Scanner

    SBC: Physical Optics Corporation            Topic: AF161022

    To address the Air Force need for advanced radar characterization of fighter aircraft, Physical Optics Corporation (POC) is developing a new Near Field Scanner (NeFS) based on novel RF/microwave sensing and scanning technologies. Specifically, innovations in sensor miniaturization and broadband functionality, combined with an innovative 3D scanning platform, enable NeFS to measure near-field radia ...

    SBIR Phase II 2018 Department of DefenseAir Force
  3. Highly Parallel LIDAR-based Automated Target Recognition

    SBC: Physical Optics Corporation            Topic: AF161139

    To address the Air Force need for an automated target recognition (ATR) capability that uses Light Detection and Ranging (LIDAR), Physical Optics Corporation (POC) proposes to advance the development of the Highly Parallel LIDAR-based Automated Target Recognition (PLATR) system, which was proven feasible in Phase I. PLATR is based on an innovative combination of target isolation, target pose estim ...

    SBIR Phase II 2018 Department of DefenseAir Force
  4. High Energy Density Energetic Matrices

    SBC: PHYSICAL SCIENCES INC.            Topic: A17125

    Physical Sciences Inc. and BAE Systems propose to develop and demonstrate a scalable process to oxidatively resistant nanometallic matrices for use in energetic materials. The multi-functional coated nanometallic matrices will provide an oxidatively stable, hydrophobic, PAX binder compatible nanoparticle fuel to augment explosive performance and insensitive munition compliancy. The proposed proces ...

    SBIR Phase I 2018 Department of DefenseArmy
  5. Advanced Fire Control Radar for Group 1 and 2 Unmanned Surveillance Systems

    SBC: Physical Optics Corporation            Topic: A17126

    To address the Army’s need for a fire control radar for small UASs, Physical Optics Corporation (POC) proposes to develop an Advanced Fire Control Radar for Group 1 and 2 Unmanned Surveillance Systems (ARGUS). ARGUS is a compact, lightweight, and low power sensor that directly fits in the electronics or payload bay of Group 1 and 2 UASs. It interfaces with the platform’s flight computer throug ...

    SBIR Phase I 2018 Department of DefenseArmy
  6. DEEP FOCUS: USING DEEP LEARNING TO DISCERN TARGETS IN CLUTTERED RADAR

    SBC: CLOSTRA INC            Topic: A17133

    Deep Focus applies deep learning neural nets to Apache Fire Control Radar (FCR) targeting and target identification, with applicability to related systems. Recent innovations in deep learning theory and implementation have enabled neural nets to achieve what was once unthinkable: beat humans at complex image recognition skills, safely pilot cars over chaotic road systems, and overwhelm Grandmaster ...

    SBIR Phase I 2018 Department of DefenseArmy
  7. Fiber Laser with Enhanced Coupling

    SBC: HEDGEFOG RESEARCH INC.            Topic: A17136

    To address the Army’s need for a novel approach that enables pump combiners with improved coupling efficiency for high-power fiber laser systems, Hedgefog Research Inc. (HFR) proposes to develop a new Fiber Laser with Enhanced Coupling (FLEC) that minimizes excess heat generation in fiber lasers via efficient mode scrambling of the pump light in the cladding of the active fiber. Specifically, we ...

    SBIR Phase I 2018 Department of DefenseArmy
  8. High Coupling Efficiency Optical Pump Combiners for Fiber Laser Systems

    SBC: PHOTONWARES CORP            Topic: A17136

    Improving the pump coupling efficiency is a technical challenge for high power laser systems. In this program, Photonwares proposes to develop a new approach for fiber optical pump combiners, that promises to significantly increase the coupling efficiency in comparison with current state-of-the-art at the same time also increase the pumping port number. Leveraging our fiber optical pump combiner m ...

    SBIR Phase I 2018 Department of DefenseArmy
  9. Body-aware Robotic Appliqué for Collaborative Evacuation (BRACE)

    SBC: CHARLES RIVER ANALYTICS, INC.            Topic: A17139

    The DoD envisions UMS to provide significant operational benefit to dangerous protection tasks, such as CASEVAC. Such systems have the potential to remove first responders from harm’s way and improve the outcomes of combat casualties by enabling rapid CASEVAC in hostile conditions and environments. Multiple designs for such platforms exist. However, in addition to requiring active remote control ...

    SBIR Phase I 2018 Department of DefenseArmy
  10. Multi-Resolution Modeling And Simulation Toolkit (MultiMAST)

    SBC: CHARLES RIVER ANALYTICS, INC.            Topic: A16075

    Megacities are rapidly becoming the epicenter of human activity. Their combination of dense terrains and highly interconnected systems requires a different skillset compared to those required for more conventional US military operations. Given the scale and complexity of megacities, real-world training is impractical and beyond the capabilities of the tools currently supporting Live Virtual Constr ...

    SBIR Phase II 2018 Department of DefenseArmy
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