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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. XpressRules-PM: Commercial Implementation of PM/NGAC

    SBC: XpressRules LLC            Topic: NA

    This proposal represents a collaborative response by XpressRules and NIST to a two-fold demand from the information security marketplace. The business requirement (for true policy governance) is that asset owners and steward themselves-and not IT—become directly accountable for the life cycles of their rules and policies. The technical requirement (for an adequate data model) is that the policie ...

    SBIR Phase I 2017 Department of CommerceNational Institute of Standards and Technology
  2. A Collaborative Interface for Teacher-Student Interaction in Virtual Environments

    SBC: STRANGE LOOP GAMES INC.            Topic: edIES17R0005

    In prior projects, including a 2015 ED/IES SBIR award, the team developed two immersive multiplayer virtual game environments. In Eco and Colony, middle school students collaboratively apply scientific practices within the virtual worlds to address challenges, such as the availability of resources and energy and maintaining clean water. With this Phase I funding, the team is developing a prototype ...

    SBIR Phase I 2017 Department of EducationInstitute of Education Sciences
  3. Machine learning for standoff detection of Special Nuclear Material (SNM)

    SBC: CLOSTRA INC            Topic: DTRA162001

    "Deep Learning for standoff detection of Special Nuclear Material (DLeN) applies the same deep learning techniques that allow computers to beat human performance in image recognition and the game of Go to detecting Special Nuclear Material. Spectral analysis and signal processing can in some cases be augmented by the use of much larger neural nets that conduct much deeper analysis of features of t ...

    SBIR Phase I 2017 Department of DefenseDefense Threat Reduction Agency
  4. DYNAMIC LOADS EXERTED ON OFFSHORE OIL STRUCTURES BY AQUACULTURE PEN SYSTEMS

    SBC: Net Systems, Inc.            Topic: N/A

    SURPLUS OFFSHORE OIL PLATFORMS AND SIMILAR STRUCTURES HAVE POTENTIAL AS BASES FOR THE SUPPORT OF OFFSHORE AQUACULTURE OPERATIONS. ONE CONCEPT DEVELOPED AT NET SYSTEMS ENVISIONS A PLATFORM SURROUNDED BY, AND HELPING TO SUPPORT, A RINGSHAPED ARRANGEMENT OF FLOATING FISH PENS. HOWEVER, BEFORE SUCH STRUCTURES CAN BE INCORPORATED INTO AQUACULTURE SYSTEMS, WE NEED TO BE ABLE TO PREDICT THEIR RESPONSE TO ...

    SBIR Phase I 1992 Department of Commerce
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