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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. Metabolite Reference Standards to Normalize Spatial Metabolomics Across Tissue Sections

    SBC: SYGNAMAP INC            Topic: 1

    Advances in spatial metabolomic analysis of tissue biopsies using MALDI-MSI now enable the identification of numerous biochemical pathways as signatures of specific histopathology features. However, the lack of reproducibility across experimental studies without a common internal standard limits the application of MALDIMSI for drug development. SygnaMap is developing MSI-DeepPath as an innovative ...

    SBIR Phase I 2023 Department of CommerceNational Institute of Standards and Technology
  2. A Novel Advanced Manufacturing Pathway for Direct Incorporation of Metal-Organic Frameworks in Polymeric Sponges

    SBC: FRAMERGY INC            Topic: 2

    For this project, the team at Framergy, Inc. in partnership with Texas A&M University (TAMU), will analyze the feasibility of post-synthetic incorporation of metal-organic frameworks (MOFs) into polymer composites. This manufacturing method has the distinct advantage of eliminating the synthesis optimization that is often needed in in-situ growth methodologies, while also allowing for a higher de ...

    SBIR Phase I 2023 Department of CommerceNational Institute of Standards and Technology
  3. Proposed Project Title Atlantis AI Based Long Range Space Weather Prediction System

    SBC: Atlantis Industries, Inc.            Topic: 95

    To date, no realizable method of predicting the occurrence or magnitude of a Solar Energetic Particle (SEP) event has been developed. There are multiple models currently available in the Community Coordinated Modeling Center (CCMC) through Goddard Space Flight Center that attempt to provide timely and accurate event propagation (e.g.MAG4, Enlil, and SEPMOD). None of these have yet achieved the goa ...

    SBIR Phase I 2023 Department of CommerceNational Oceanic and Atmospheric Administration
  4. Family-based breeding for production of higher-yielding Manila clam seed

    SBC: PACIFIC HYBREED INC            Topic: 93

    Farming of marine bivalves provides high-quality protein and has a positive impact on the coastal environment. The U.S. is a top producer of the Manila clam (Japanese carpet shell, Ruditapes philippinarum) with reported sales of $31 M in 2019. Production of clams, however, has depended almost entirely on seed from wild stocks and natural recruitment, leaving the industry vulnerable to ocean change ...

    SBIR Phase I 2023 Department of CommerceNational Oceanic and Atmospheric Administration
  5. Artificial Intelligence (AI) based algorithms for predictive maintenance using NOAA data-sets for renewable energy assets

    SBC: 60Hertz Incorporated            Topic: 92

    This research aims to develop decision support tools for better maintenance and planning of renewable energy generation and storage assets using atmospheric, local weather, and on-ground environmental data blended with site-, regional- and national-generation data. The study will use a combination of these data to understand the relationship between non-cloud cover based atmospheric conditions and ...

    SBIR Phase II 2023 Department of CommerceNational Oceanic and Atmospheric Administration
  6. Accelerated in-storage analysis of multi-dimensional data

    SBC: AIRMETTLE INC            Topic: 91

    AirMettle Inc. is transforming big data analytics for NOAA and the broader scientific community with a real-time smart data lake solution. Our innovative method utilizes massively parallel in-storage data processing within a versatile software defined storage framework, deployable on-premises or as a cloudbased service. Building upon our successful NOAA SBIR Phase I project, we strive to improve t ...

    SBIR Phase II 2023 Department of CommerceNational Oceanic and Atmospheric Administration
  7. Automated monitoring of salmonoids in streams with new solid-state LiDar

    SBC: FIELD DATA SERVICES LLC            Topic: 93

    Maintaining healthy populations of salmon and trout (salmonids) has significant biological, cultural, and economic benefits. Significant data gaps exist for sources of mortality in juvenile and adult salmonids in small streams. These gaps can create discrepancies between main stem escapement counts and estimates of population health. Field Data Services, LLC is developing novel camera trap technol ...

    SBIR Phase II 2023 Department of CommerceNational Oceanic and Atmospheric Administration
  8. StepWise Virtual Tutor for Math Word Problems Using SRSD

    SBC: QUERIUM CORPORATION            Topic: 91990023R0016

    Not available

    SBIR Phase II 2023 Department of EducationInstitute of Education Sciences
  9. Tree Tracker: An Intelligent Plant Production Optimization Software

    SBC: QUALTERRA, INC.            Topic: 2

    Recurring environmental extremes and disease events threaten large plantings of high-value perennial crops. Due to environmental and economic drivers, the demand for highest-quality, disease-free, true-to-type planting material in large volumes for vegetatively propagated high-value perennial crops is predicted to increase substantially in the next decades. This demand can be rapidly fulfilled thr ...

    SBIR Phase I 2022 Department of CommerceNational Institute of Standards and Technology
  10. Artificial Intelligence (AI) based algorithms for predictive maintenance using NOAA data-sets for renewable energy assets

    SBC: 60Hertz Incorporated            Topic: 92

    We propose to use Aerosol Optical Depth (AOD) measurements as an early warning system, to cue on-site validation of the soiling station and any available meteorological (MET) station data to validate if a work order to clean deposited particulate matter is necessary. This would move from reactive maintenance – often weeks delayed, to proactive maintenance – getting ahead of the weather impact ...

    SBIR Phase I 2022 Department of CommerceNational Oceanic and Atmospheric Administration
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