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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.

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  1. Novel Mixed-mode TCAD-Commercial PDK Integrated Flow for Radiation Hardening By Design

    SBC: CFD RESEARCH CORPORATION            Topic: DTRA16A003

    Cost-effective application of advanced commercial electronics technologies in DoD space systems requires early development of radiation-hardened-by-design (RHBD) techniques, and use of simulations is critical to the efficiency of this process. CFDRC has developed an integrated, mixed-mode simulation approach allowing their NanoTCAD device physics simulator to interface with commercial circuit simu ...

    STTR Phase I 2017 Department of DefenseDefense Threat Reduction Agency

  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. FLAMES FORTHERMAL RADIATION SIMULATION TECHNIQUES

    SBC: Nichols Research Corp            Topic: N/A

    THIS PROJECT WILL PRODUCE THE RESULTS NECESSARY TO DETERMINE IF ULTRHIGH TEMPERATURE FUELS PRODUCE FLAMES WITH SUFFICIENT EMISSIVITY TO BE CONSIDERED AS A CANDIDATE FOR THE DNA THERMAL RADIATION SOURCE TEST FACILITY. A SMALL TORCH WILL BE CONSTRUCTED WHICH WILL BURN COMMERCIALLY AVAILABLE CHEMICALS SIMILAR TO ULTRA-HIGH TEMPERATURE FUELS OF THE CMNN CLASS. THERMAL FLUX AND SPECTRAL MEASUREMENTS OF ...

    SBIR Phase I 1984 Department of DefenseDefense Threat Reduction Agency
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