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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. 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
  2. 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
  3. 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
  4. 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
  5. 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
  6. 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
  7. Accelerated in-situ analysis of multi-dimensional data

    SBC: AIRMETTLE INC            Topic: 91

    The massive volumes of multi-dimensional array-oriented data generated by NOAA programs and the scientific community at large are predominantly stored in industry standard Network Common Data Form (NetCDF). Key challenges exist in making use of data stored in netCDF: data sets are often too large to be copied and transferred across networks for every user, and each time data is accessed by an anal ...

    SBIR Phase I 2022 Department of CommerceNational Oceanic and Atmospheric Administration
  8. Rapid, Simple Diagnostic for Pathogens in Marine Aquaculture

    SBC: LYNNTECH INC.            Topic: 9102

    Aquaculture is the farming of aquatic organisms for human consumption, and includes finfish, shellfish, crustaceans and plants. Aquaculture accounts for approximately 50% of the world’s fish food and is one of the fastest growing food-producing sectors. A major challenge facing commercial fisheries is the presence of infectious diseases. Once a disease outbreak occurs, effective management requi ...

    SBIR Phase II 2021 Department of CommerceNational Oceanic and Atmospheric Administration
  9. Rapid Point of Use Method to Identify Seafood Species

    SBC: LYNNTECH INC.            Topic: 9202

    Substitutions, replacing high-priced, quality fish with fish of lesser value is an ever-growing concern in the seafood industry. Recent studies have shown that 33% of the seafood samples tested in a US study were mislabeled. The most common mislabeled samples were those sold as snapper (89%). In fact, 94% of the samples labeled as red snapper were NOT red snapper. In response to this problem, Lynn ...

    SBIR Phase II 2021 Department of CommerceNational Oceanic and Atmospheric Administration
  10. DeepCTIS: A New Low-Cost Hyperspectral Imaging Module and Distributed Deep Learning Platform to Combat Seafood Fraud, and Illegal, Unreported, and Unregulated Fishing in the Marketplace at Scale

    SBC: SYNTHETIK APPLIED TECHNOLOGIES LLC            Topic: 9202

    We propose an innovative yet straightforward approach to developing and delivering a readily deployable product to support combating IUU. We combine newly available low-cost hyperspectral sensors with stateof-the-art deep learning-based real-time data processing and deploy it on high-availability commodity cloud computing hardware - our solution is compatible with both existing systems as well as ...

    SBIR Phase II 2021 Department of CommerceNational Oceanic and Atmospheric Administration
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