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Award Data

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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. Modeling of Integrally Bladed Rotor (IBR) Blends

    SBC: SIMMETRIX, INC.            Topic: N13AT002

    Integrally bladed rotors (IBR), also called blisks, are becoming increasingly common in the compressor and fan sections of modern turbine engines. The integration of the blades and disks into a single part has the advantages of reduced part count, reduced weight, increased reliability, and increased performance. However, a drawback of this technology is that individual blades cannot be easily repl ...

    STTR Phase I 2013 Department of DefenseNavy
  2. Demonstrated Environment/Harware Cooperation for Expanded Riverine Coverage

    SBC: BARRON ASSOCIATES, INC.            Topic: N10AT024

    The Barron Associates/Virginia Tech team believes that intelligent use of ambient riverine environmental factors together with novel drifter design and low-energy articulation is the key to enabling large non-overlapping river coverage. The proposed phase I research program focuses on (1) identifying key river characteristics which may be leveraged by riverine drifters, (2) fabricating a novel riv ...

    STTR Phase I 2010 Department of DefenseNavy
  3. Collective Meta-Reasoning Runtime Assurance of Machine Intelligence for Unmanned Autonomous Vehicles

    SBC: BARRON ASSOCIATES, INC.            Topic: N18BT032

    Barron Associates has teamed with a prominent researcher in the field of formal verification of cyber physical systems to propose a new paradigm in runtime assurance for complex autonomous systems controlled and operated by artificial machine intelligence. A two-stage approach is considered in which formal verification processes are first performed offline at algorithm design time. Online, during ...

    STTR Phase I 2019 Department of DefenseNavy
  4. Intelligence and Intuition for Enhanced Decision Making (I2EDM)

    SBC: MODUS OPERANDI INC            Topic: N13AT024

    The focus of our Intelligence and Intuition for Enhanced Decision Making (I2EDM) Phase 1 research is to provide efficient and timely automated production and dissemination of information products in support of doctrinal Decision Points for the Company and below in austere environments. Operating in the Cloud, I2EDM will continuously fuse tactical information with human intuition and experience to ...

    STTR Phase I 2013 Department of DefenseNavy
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