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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. Compact Vapor Cell Technology for Rydberg‐Atom RF Metrology

    SBC: COLDQUANTA, INC.            Topic: NA

    ColdQuanta seeks to develop compact vapor cells designed specifically for high-accuracy RF metrology with Rydberg atoms. Sensors utilizing these vapor cells can take advantage of Rydberg atoms’ exceptional sensitivity to RF, microwave, and millimeter radiation between 1 and 1000 GHz. Featuring resolutions down to the uV/cm level, the accuracy of these devices will be at least ten times better th ...

    SBIR Phase I 2017 Department of CommerceNational Institute of Standards and Technology
  2. 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
  3. Plasmid DNA positive control standards for molecular environments assays

    SBC: PISCES MOLECULAR LLC            Topic: 843

    The proliferation of sensitive DNA-based assays for detecting the presence of specific harmful, toxic or invasive organisms, as well as the simple reagent and instrumentation requirements for these assays has made widespread and more frequent testing for these different organisms possible. However, a frequent problem with such assays is the lack of available, well-quantified positive control stand ...

    SBIR Phase I 2017 Department of CommerceNational Oceanic and Atmospheric Administration
  4. Development of a Commercial, Reproducible NO(y) CRDS for Precise Atmospheric Research

    SBC: High Precision Devices, Inc.            Topic: 851

    HPD, a small business focused on development and commercialization of advanced instruments, sensors and research equipment, proposes to partner with NAOA on technology transfer and commercialization of the NO(y) Cavity Ring-Down Spectrometer for atmospheric research. Since our founding in 1993, HPD has collaborated with researchers at NAOA and other government, commercial and academic institutions ...

    SBIR Phase I 2017 Department of CommerceNational Oceanic and Atmospheric Administration
  5. Position Error Maps for GPS/GNSS

    SBC: ATMOSPHERIC & SPACE TECHNOLOGY RESEARCH ASSOCIATES LLC            Topic: 831

    As our nation’s dependence on reliable satellite navigation systems for precise Position, Navigation and Timing (PNT) applications increases, any errors/uncertainties or degradation of service will have significant life, safety, and economic impacts. Ionospheric ‘space weather’ is one of the largest sources of error in PNT applications that use the Global Navigation Satellite System (GNSS) s ...

    SBIR Phase I 2017 Department of CommerceNational Oceanic and Atmospheric Administration
  6. 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
  7. 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
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