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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. Seaweed-based bioplastic replacement for commercial lobster fishing gear.

    SBC: VIABLE GEAR LLC            Topic: 93

    Viable Gear will provide proof-of-concept for a seaweed-based bioplastic to be used in manufacturing a compostable biotwine for marine equipment, designed to replace petroleum-based plastics. This addresses NOM-SBIR research topic area 9.3, The Changing Ocean - specifically to "support increased protection and restoration of marine and coastal habitats to enhance vital ecosystems", by helping decr ...

    SBIR Phase I 2023 Department of CommerceNational Oceanic and Atmospheric Administration
  2. Development and evaluation of peroxide free fin-fish nursery feeds with active DHA-synthase enzyme (DSe)

    SBC: FPN LLC            Topic: 93

    The marine microalgae Crypthecodinium cohnii (C. cohnii) contains high levels of DHA and DHA synthase enzyme (DSe) both of which may provide nutritional benefits to finfish for human consumption. Field Phyto-Nutrients LLC has developed a process for algae-based feed preparation where the algae is dried under low temperature (

    SBIR Phase I 2022 Department of CommerceNational Oceanic and Atmospheric Administration
  3. Sustainable seed production for North Atlantic kelp aquaculture

    SBC: Ocean's Balance Inc            Topic: 93

    Demand for seaweed products has dramatically increased in the U.S.; however, only 1% is met with domestic production. Expansion of seaweed aquaculture is crucial to protect wild populations from extinction by overharvesting, which impacts entire marine ecosystems. Current kelp aquaculture methods rely on harvested reproductive tissue, which is not sustainable. In response to NOAA Topic 9.3, Health ...

    SBIR Phase I 2022 Department of CommerceNational Oceanic and Atmospheric Administration
  4. Measuring Stormwater Overflow with Synthetic Aperture Radar

    SBC: WOLVERINE RADAR COMPANY            Topic: 93

    Many municipalities in the United States have begun to use impermeability measurements to incentivize storm water retention as part of the architectural and landscaping design process. These measurements are performed through analysis of high-resolution aerial photography and updated on an annual or semi-annual basis. The practice of using high resolution aerial or even satellite photography is pr ...

    SBIR Phase I 2022 Department of CommerceNational Oceanic and Atmospheric Administration
  5. Geography Aided Inference ATR (GAIA)

    SBC: ETEGENT TECHNOLOGIES, LTD.            Topic: OSD221001

    The amount of data collected from the suite of current and future sensors far surpasses the bandwidth of analysts to processes the data streams into actionable intelligence. This pixel to pupil ratio problem is a forcing function for developing robust algorithms which accurately find non-cooperative objects while minimizing the false alarm rate.  As exploitation algorithms are tasked with perform ...

    SBIR Phase I 2022 Department of DefenseNational Geospatial-Intelligence Agency
  6. Novel Mathematical Foundation for Automated Annotation of Massive Image Data Sets

    SBC: SKYWARD, LTD.            Topic: NGA203005

    Modern Artificial Intelligence (AI) solutions generally employ carefully-crafted Neural Networks (NNs) that require extensive human effort to perform detection, identification, and annotation on each image to create training datasets. AI tools are desired that are optimized for object identification and annotation across diverse families of image data, are reliable and robust, not dependent on e ...

    SBIR Phase I 2022 Department of DefenseNational Geospatial-Intelligence Agency
  7. Adopt existing technologies for improved seafood production and to better feed a growing world

    SBC: RADMANTIS LLC            Topic: 91

    Expansion of aquaculture production depends crucially on the development of technologies that are able to perform functions important in a fish farming facility, without human input. For instance, early detection of a disease or parasite outbreak is critical in intensive aquaculture settings. Parasites, such as Sea Lice in Salmonid aquaculture are responsible for large losses. Existing options for ...

    SBIR Phase I 2021 Department of CommerceNational Oceanic and Atmospheric Administration
  8. Algorithm Performance Evaluation with Low Sample Size

    SBC: SIGNATURE RESEARCH, INC.            Topic: NGA20C001

    The team of Signature Research, Inc. and Michigan Technological University will develop and demonstrate methods and metrics to evaluate the performance of machine learning-based computer vision algorithms with low numbers of samples of labeled EO imagery. We will use the existing xView panchromatic dataset to demonstrate a proof-of-concept set of tools. If successful, in Phase II, we will extend t ...

    STTR Phase I 2021 Department of DefenseNational Geospatial-Intelligence Agency
  9. Low-shot Automated Performance Prediction via Transfer Learning

    SBC: ETEGENT TECHNOLOGIES, LTD.            Topic: NGA20C001

    Low-shot objection recognition has become an area of active research in recent years, with advances dramatically improving performance when only a few samples are available, nominally fewer than 20. These technologies are a focus of the intelligence community (IC) because this challenge pertains to many intelligence problems, e.g., objects of interest are rare due to their use, sensitive nature, ...

    STTR Phase I 2021 Department of DefenseNational Geospatial-Intelligence Agency
  10. ALURD: Automated Learning from Unsupervised Repositories of Data

    SBC: ETEGENT TECHNOLOGIES, LTD.            Topic: NGA201003

    Etegent proposes Automated Learning from Unsupervised Repositories of Data (ALURD). ALURD incorporates a trained detector to feed a semi-supervised discrimination apparatus that leverages state-of-the-art approaches.in semi-supervised learning (SSL).  The need for automated labelling of overhead data is obvious, less obvious is that these unlabelled images provide an opportunity to improve auton ...

    SBIR Phase I 2020 Department of DefenseNational Geospatial-Intelligence Agency
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