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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. 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
  3. 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
  4. 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
  5. 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
  6. 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
  7. Rapid, Simple Diagnostic for Pathogens in Marine Aquaculture

    SBC: LYNNTECH INC.            Topic: 9102

    "Chronic malnourishment globally affects more than 800 million people with an expected population growth of another 2 billion over the next 30 years. Today, aquaculture accounts for nearly 50 percent of the world’s food fish and is one of the fastest growing food-producing sectors. The biggest threat to global aquaculture production is infectious disease. While marine diseases are a naturally oc ...

    SBIR Phase I 2020 Department of CommerceNational Oceanic and Atmospheric Administration
  8. Coral Adhesive

    SBC: TEXAS RESEARCH INSTITUTE , AUSTIN, INC.            Topic: 9201

    Texas Research Institute Austin (TRI Austin) will develop a fast acting, strong, tough, adhesive that will bond underwater without extensive surface preparations. TRI Austin will formulate the adhesive to optimize setup time, establish charge weight for the adhesive to reduce adhesive underwater preparation time, and develop the procedures for using the adhesive to bond coral to reef substrates. A ...

    SBIR Phase I 2020 Department of CommerceNational Oceanic and Atmospheric Administration
  9. Fluorescent Qdot-Antibody or Aptamer Test Strips for Ultrasensitive Algal Toxin Detection

    SBC: NANOHMICS INC            Topic: 9203

    Nanohmics, Inc. proposes to develop the most sensitive antibody and/or DNA aptamer‐quantum dot (Qdot)‐based lateral flow (LF) test strips possible for detection of harmful algal bloom (HAB) toxins in fresh or saltwater and seafood rinsates. Although commercial colloidal gold‐LF test strips for some HABs and anti‐HAB toxin aptamer DNA sequences already exist, Nanohmics’ innovation of inco ...

    SBIR Phase I 2020 Department of CommerceNational Oceanic and Atmospheric Administration
  10. Rapid Point of Use Method to Identify Seafood Species

    SBC: LYNNTECH INC.            Topic: 9202

    Species substitution with a product of lesser value has become an increasing problem within the seafood industry. Increased international trade, rising consumption rates, and high profit incentives have all contributed to the intentional mislabeling of seafood. While whole, unprocessed fish can generally be identified by their morphological features, processing of seafood makes identification chal ...

    SBIR Phase I 2020 Department of CommerceNational Oceanic and Atmospheric Administration
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