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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.

Displaying 201771 - 201780 of 207712 results
  1. Using Grid and Cloud Technology to Address Data Growth Within the Air Force Weather Enterprise

    SBC: COLORADO ENGINEERING INC.            Topic: AF171035

    The Air Force Weather (AFW) Enterprise is experiencing large data growth. The combination of new sensors, migration to higher resolution models, and highly perishable weather data is driving the need to enhance the capabilities of the enterprise infrastr

    SBIR Phase I 2017 Department of DefenseAir Force
  2. Using Hand-Held Computers for Ambulatory Self-Monitoring

    SBC: PERSONAL IMPROVEMENT COMPUTER SYSTEMS            Topic: N/A

    This project will develop a computerized self-monitoring system (CSMS) for use in clinical andresearch settings. The product will be a toolkit that will allow behavioral scientists with no programmingexperience to develop and implement a broad range of customized self-monitoring protocols. The toolkitwill consist of a front-end software program (FESP), a hand-held computer (HHC), and hardware fore ...

    SBIR Phase II 1996 Department of Health and Human Services
  3. Using Hand-Held Computers for Ambulatory Self-Monitoring

    SBC: PERSONAL IMPROVEMENT COMPUTER SYSTEMS            Topic: N/A

    N/A

    SBIR Phase I 1994 Department of Health and Human Services
  4. Using Handheld Computers to Modify Exercise Behavior

    SBC: PERSONAL IMPROVEMENT COMPUTER SYSTEMS            Topic: N/A

    N/A

    SBIR Phase I 2001 Department of Health and Human ServicesNational Institutes of Health
  5. Using Handheld Computers to Modify Exercise Behavior

    SBC: PERSONAL IMPROVEMENT COMPUTER SYSTEMS            Topic: N/A

    N/A

    SBIR Phase II 2001 Department of Health and Human ServicesNational Institutes of Health
  6. USING HANDHELD COMPUTERS TO MODIFY EXERCISE HABITS

    SBC: PERSONAL IMPROVEMENT COMPUTER SYSTEMS            Topic: N/A

    N/A

    SBIR Phase I 1998 Department of Health and Human Services
  7. Using highly expressed circular RNAs to substantially enhance protein expression yields in mammalian cells

    SBC: CHIMERNA THERAPEUTICS, INC.            Topic: 400

    SUMMARY Large-scale production of recombinant proteins in mammalian cells is the process for manufacturing protein biologics as medical therapies, for obtaining sufficient quantities of proteins for large-scale screens, and for creating protein bioconjugates. Many proteins must be made in mammalian cells (as opposed to bacteria) if the protein requires specific patterns of glycosylation, disulfide ...

    SBIR Phase I 2020 Department of Health and Human ServicesNational Institutes of Health
  8. Using High Resolution Multispectral and/or Hyperspectral Imagery to Improve Digital Land Cover Classification From Low Resolution Multispectral Imager

    SBC: OBSERVERA, INC.            Topic: N/A

    Observera proposes to integrate several innovative fusion concepts (resolution enhancement technology, high resolution signature data, and spatial texture) into the Army's process of Land Cover / Land Use (LCLU) classification from LANDSAT. Thisintegration will result in substantially improved classification over current techniques. Specific focus will be on automating as much of these technique ...

    SBIR Phase I 2002 Department of DefenseArmy
  9. Using High Resolution Multispectral and/or Hyperspectral Imagery to Improve Digital Land Cover Classification From Low Resolution Multispectral Imager

    SBC: OBSERVERA, INC.            Topic: N/A

    Observera's objective for Phase II is to build upon the capabilities developed in Phase I and increase the accuracy and quality of LCLU classification results obtainable from LANDSAT through the innovative application of three techniques (StatisticalPrediction of Bands, Spatial Spectral Bootstrapping and Texture Based Classification). Secondary objectives include increasing the efficiency of the ...

    SBIR Phase II 2003 Department of DefenseArmy
  10. Using Human/AI Teaming to Improve Threat Assessment Accuracy-Swarm Intel™

    SBC: UNANIMOUS A.I., INC.            Topic: AFX23DTCSO1

    Unanimous AI develops technologies that amplify the collective intelligence of networked human teams, enabling small groups of experts to quickly combine their insights and generate AI-optimized assessments in real-time. Our Swarm AI® technology has also

    STTR Phase I 2023 Department of DefenseAir Force
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