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The Award database is continually updated throughout the year. As a result, data for FY23 is not expected to be complete until September, 2024.

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. Lunar Surface Network and Kinetic Delivery System

    SBC: SPACE INITIATIVES INC.            Topic: AF20ATCSO1

    We propose a mesh network system that can be deployed onto the lunar surface either with or, in advance of a new landing, either crewed or robotic, that can provide the following services: terminal navigation and landing positioning, even in the possible presence of hostile jamming or spoofing; local PNT for astronauts and robots over an area surrounding the landing site; communications relay over ...

    STTR Phase I 2020 Department of DefenseAir Force
  2. Machine Learning of Part Variability for Predictive Maintenance

    SBC: EXPERIMENTAL DESIGN & ANALYSIS SOLUTIONS, INC.            Topic: AF20ATCSO1

    Extensive testing at substantial cost is a major part of military propulsion development programs. These programs involve numerous component and engine tests aimed at producing safe and reliable engines. Despite these efforts, engines still experience unexpected failures. Geometric variability of parts within design tolerances is a well-known source of uncertainty in overall reliability. USAF sust ...

    STTR Phase I 2020 Department of DefenseAir Force
  3. Novel Image Segmentation Methods for Missile Attitude

    SBC: UHV TECHNOLOGIES, INC.            Topic: AF19BT005

    Missile attitude in flight can be difficult to determine from ground-based images due to image resolution, lighting, object occlusion, and poor contrast. To address the need, UHV and UTARI propose a fusion based approach of 2 well proven methods to solve this problem. First, UHV Technologies will implement their existing innovative and state of the art machine learning methods for image segmentati ...

    STTR Phase I 2020 Department of DefenseAir Force
  4. Hardened, Optically-Based Temperature Characterization of Detonation Environments

    SBC: IRGLARE LLC            Topic: DTRA19B001

    A novel diagnostic system based on the monolithic quantum cascade laser technology is proposed, enabling probing of points across the entire MIR absorption spectrum of CO for optimal temperature sensitivity across the entire 300 – 3000 K range with MHz time resolution. The proposing team has the capability to design QCL structures that provide strong output over the spectral range of interest in ...

    STTR Phase I 2020 Department of DefenseDefense Threat Reduction Agency
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