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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. An Adaptable, Cost-Effective, Real-Time 3D Vision System for Advanced Manufacturing

    SBC: KRTKL INC.            Topic: AF21ATCSO2

    Accurate, high-performance 3D vision frameworks will play a key role in the development of advanced manufacturing. These systems will employ the use of powerful data feature extractors such as deep neural networks (DNNs). However, in terms of size, latenc

    STTR Phase II 2023 Department of DefenseAir Force
  2. In-situ Monitoring for Blown Powder Additive Manufacturing

    SBC: ADDITIVE MONITORING, INC.            Topic: X22DOTCSO1

    Goals of phase I: Determine the feasibility of structured light measurement to perform in situ monitoring on blown powder additive manufacturing (AM)   Validate initial proof-of-concept structured light measurement system on SPEE3D’s WarpSPEE3D 3D Metal Blown Metal Printer SPEE3D is a subcontractor on this effort and anticipates supporting in-situ monitoring technology testing on-site. See lett ...

    STTR Phase I 2023 Department of DefenseAir Force
  3. Reduction of Soft Tissue Injuries and Down Days with Female-Specific Collagen Intervention

    SBC: AMPHP INC            Topic: X22DOTCSO1

      Momentous seeks to deliver a joint health intervention designed specifically for female military servicemembers. It maximizes the benefit of collagen and vitamin C for injury reduction with novel additionals to limit increased injury risk due to the physiological impacsex-specificcific hormones. This effort will adapt the composition of Momentous Collagen Shot, a leading collagen product, to me ...

    STTR Phase I 2023 Department of DefenseAir Force
  4. Sutter™ Space Telescope System for Cislunar Space Domain Awareness (SDA)

    SBC: TRANS ASTRONAUTICA CORPORATION            Topic: X22DOTCSO1

    The Air Force has a vital and urgent defense mission need for rapidly detecting and tracking objects in beyond LEO to GEO and cislunar orbits to meet real-time requirements and match mounting threats from near-peer adversaries like China and Russia. This xGEO space domain awareness (SDA) is absolutely necessary in order to report where objects are in space and understanding why they are there. Tra ...

    STTR Phase I 2023 Department of DefenseAir Force
  5. High-Fidelity Mesh Generation from Neural Radiance Fields (NeRFs)

    SBC: TRAVERSE INC.            Topic: X22DOTCSO1

    The Traverse Team is leveraging advances in Machine Learning-enabled computer vision to provide higher fidelity scans than that of traditional photogrammetry methods. This technique, called Neural Radiance Fields or NeRFs, has been rapidly transforming the 3D image capture space and could revolutionize the speed and accuracy of 3D asset and scene generation. Traverse and Brown University will exte ...

    STTR Phase I 2023 Department of DefenseAir Force
  6. Studies of Power, Propulsion, and Thermal Systems for Air-Breathing Electric Propulsion Space Vehicles in VLEO

    SBC: VIRIDIAN SPACE CORP            Topic: X22DOTCSO1

    This study focuses on the design of a satellite that utilizes air-scooping electric thruster (ASET) technology. ASET technology operates by ingesting rarefied atmospheric air at Very Low Earth Orbit (VLEO) altitudes, between 200-300 km, and feeding this collected air to a plasma thruster. Viridian’s (patent-pending) technology has been shown by analysis and numerical simulation to enable a vi ...

    STTR Phase I 2023 Department of DefenseAir Force
  7. Ground Asset Navigation using Aerial Guidance in Contested Environments

    SBC: UTOPIACOMPRESSION,CORPORATION            Topic: X22DOTCSO1

    In contested and challenging environments, visual line of sight to intruder or target ground vehicles is restricted for ground based tracker vehicles equipped with EO sensors. Under such conditions, aerial support provides an abundance of information as the intruding vehicles can be efficiently identified and tracked from above accurately. However, there are certain difficulties with this approach ...

    STTR Phase I 2023 Department of DefenseAir Force
  8. Condition Based Maintenance Plus for Hybrid & Electric VTOL Batteries

    SBC: ODYS AVIATION, INC.            Topic: X22DOTCSO1

    The HH-60G Pavehawk is the air vehicle of choice for Combat Search and Rescue (CSAR) missions but is outdated and does not provide the capabilities necessary for a fight in the Pacific. “Military leaders have been concerned for more than a decade that their current dedicated CSAR helicopter, the HH-60G, does not have all of capabilities needed for the mission. It had deficiencies in speed, range ...

    STTR Phase I 2023 Department of DefenseAir Force
  9. Extending the Reach of Rehabilitative Care Teams

    SBC: SPARTA SOFTWARE CORPORATION            Topic: X22DOTCSO1

    Sparta Science provides a movement health intelligence platform that can quickly measure human movement capabilities with research-grade hardware combined with ML/AI technology. The Sparta Movement Health Platform (SMHP) provides individuals, medical professionals, performance practitioners, and their organizations with the data, insights, and functionality to support clinical and operational deci ...

    STTR Phase I 2023 Department of DefenseAir Force
  10. Effective Compaction of UAV LiDAR and Other Data Transmission to Maximize Bandwidth and Security

    SBC: ATOMBEAM TECHNOLOGIES INC.            Topic: X22DOTCSO1

    AtomBeam proposes to incorporate a significant modification to its Compaction product, called count sketch, to enable Compaction to encode LiDAR data from UAS as well as other data streams. Compaction in its current release is capable of encoding most typical UAS data, other than video. AtomBeam’s process entails building Codebooks from representative sample datasets using machine learning. Code ...

    STTR Phase I 2023 Department of DefenseAir Force
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