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Award Data

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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. Revolutionary Airlift Innovation

    SBC: LOGISTIC GLIDERS INC.            Topic: ST14B004

    We propose to mature LG-X glider technology by manufacturing full-scaled prototypes and characterizing them in land-based flight-testing by using commercial aircraft to drop the gliders. Validated components such as the landing parachute, folding wing mechanism, and autopilot control system will undergo integrated flight-testing. Logistic Gliders will provide a considerable cost share to support ...

    STTR Phase II 2016 Department of DefenseDefense Advanced Research Projects Agency
  2. Data Driven Intent Recognition Framework

    SBC: OTHER LAB, INC.            Topic: NSF13599

    A critical aspect of exoskeleton control that has to date introduced a performance limitation is the ability of the exoskeleton to recognize the intent of the operator so it can apply assistance to their desired motion. This intent recognition effort is typically solved using ad-hoc methods where subject matter experts make design decisions and tune transitions to identify intended maneuvers as re ...

    STTR Phase II 2016 Department of DefenseSpecial Operations Command
  3. Context-driven Active-sensing for Repair Tasks II (CART II)

    SBC: DYNAMIC OBJECT LANGUAGE LABS INC.            Topic: ST14B003

    Existing machine perception systems are too inflexible, and are not robust enough to environmental uncertainty. In existing systems, perception components are statically (and manually) configured to process sensor data. The parameters of components in such a system are also statically tuned to operate optimally under very specific conditions. Information flow in such systems is bottom up, and gene ...

    STTR Phase II 2016 Department of DefenseDefense Advanced Research Projects Agency
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