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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. N/A

    SBC: HIGH PERFORMANCE MATERIALS GROUP, LLC            Topic: N/A

    N/A

    SBIR Phase I 2000 Department of DefenseSpecial Operations Command
  2. Practical Roots of Trust for Mobile Devices

    SBC: GALOIS, INC.            Topic: HSB0132002

    To meet the critical security needs of the Department of Homeland Security and others, we propose two methods for providing a secure root of trust for mobile devices. One method is designed to integrate as easily into existing systems, while the other requires deeper integration but provides correspondingly stronger security. The keys to our work are practicality and integration: practicality to e ...

    SBIR Phase I 2013 Department of Homeland Security
  3. Dynamic Frequency Passive Millimeter-Wave Radiometer Based on Optical Up-Conversion

    SBC: PHASE SENSITIVE INNOVATIONS INC            Topic: 941D

    In the proposed effort, we will leverage this extensive experience and capabilities to realize a frequency agile mmW radiometer that can cover the range of DC-110 GHz and can be scaled to DC-200 GHz under Phase II. Ours is a photonic system that multiplies and up-coverts a low-frequency reference signal onto an optical carrier (laser) using EO modulation, then uses the modulation sidebands to inj ...

    SBIR Phase I 2013 Department of CommerceNational Oceanic and Atmospheric Administration
  4. Architecture Neutral Parallel Graph Algorithms with LPG

    SBC: GALOIS, INC.            Topic: SB151004

    We propose to build a high-level Domain Specific Language (DSL) for graph processing. This DSL, Language For Processing Graphs (LPG), will be embedded in Python and can be compiled to multiple parallel architectures. By using a high-level architecturally-neutral DSL, we gain two things: (1) we can develop programs more quickly, and (2) our programs will not be tied to any specific parallel archi ...

    SBIR Phase I 2015 Department of DefenseDefense Advanced Research Projects Agency
  5. Functional Dataflow Programming Toolchain for Portable Parallel Code

    SBC: EM PHOTONICS INC            Topic: SB151004

    A new class of high-performance, low-SWaP computational devices is emerging based on increasingly diverse architectures. This diversity is improving performance, but comes at the cost of increased programming complexity. Each architecture requires variances in programming environment and model, typically distinguished by the type of parallelism supported by the hardware, limiting software portabil ...

    SBIR Phase I 2015 Department of DefenseDefense Advanced Research Projects Agency
  6. A Verifier for Multicore C11 or C++11 Code

    SBC: The Formula Factory            Topic: 9030177R

    Galois will build a practical, efficient, modular, deductive code verifier and verification methodology for multithread C11 software. The verifier will take code written to the C11 standard, suitably annotated with function contracts, assertions, program/data invariants, ghost data/code, and any platform-specific assumptions beyond those guaranteed by the standard, and will prove that the code mee ...

    SBIR Phase I 2015 Department of CommerceNational Institute of Standards and Technology
  7. Many-Core Acceleration of Common Graph Programming Frameworks

    SBC: EM PHOTONICS INC            Topic: SB152004

    Graph analytics is a key component in identifying emerging trends and threats in many real-world applications. Large-scale graph analytics frameworks provide a convenient and highly scalable platform for developing algorithms to analyze large datasets. Although conceptually scalable, these techniques exhibit poor performance on modern computational hardware. Another model of graph computation has ...

    SBIR Phase I 2015 Department of DefenseDefense Advanced Research Projects Agency
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