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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. Develop an electrified technology for non-potable reuse of septic tank effluent

    SBC: J-TECH LLC            Topic: 1A

    Septic systems, widely used by >25% of U.S. households, represent a 6-billion-dollar market with a 5-7% projected growth rate. There is growing interest in non-potable reuse of septic tank effluent, yet existing disinfection methods are either costly (e.g., UV) or require households to handle hazardous chemicals (e.g., chlorine tablets). This project will validate a promising septic tank technolog ...

    SBIR Phase I 2023 Environmental Protection Agency
  3. A high-speed, low cost, machine learning enhanced, hyperspectral imaging system for improved identification of microplastics

    SBC: SPORIAN MICROSYSTEMS, INC            Topic: 1B

    Microplastics are environmental pollutants ubiquitous in marine and freshwater environments and have been established to have deleterious impacts on aquatic life and human health. Preventing Microplastics from getting into waterways or removing it once it is there, is the mission of EPA’s Trash Free Waters program and, as the production of plastics continues to grow, EPA is looking for innovativ ...

    SBIR Phase I 2023 Environmental Protection Agency
  4. Design and Alpha Test of In-water Collection and Removal of Floating Debris System

    SBC: D & D Products Incorporated            Topic: 1C

    D&D Products Inc. will design and develop an in-situ floating debris capture device. The device will be located at the edge of a stream, canal or similar waterbody. Floating booms will be attached to the device, and the waterway current will guide debris along the booms into the gathering head. The gathering head will direct debris into the hopper and feed it onto a conveying mechanism. The convey ...

    SBIR Phase I 2023 Environmental Protection Agency
  5. Disaster Platform- Helping communities build resilience to disasters via social networking, gamification and relationship building

    SBC: GOODGAMES LLC            Topic: 3A

    In today’s world of accelerating climate change effects, a community's capacity to plan for and build resilience to disasters, homeland security threats, and extreme weather is of increasing importance. The ability of public safety organizations and local governments to effectively communicate with community members in emergency situations is critical, especially in the immediate aftermath of la ...

    SBIR Phase I 2023 Environmental Protection Agency
  6. Auto-Label SAR (AL-SAR)

    SBC: ICR, INC.            Topic: OSD221002

    Correctly labeled data is essential for training AI/ML-based automatic target recognition (ATR). The training process is all the more complicated in synthetic aperture radar (SAR) images because of their unique phenomenology, such as orientation-sensitive target signatures, layover, cross-range smearing, and radio frequency interference. New automated technology must reduce the cost and acc ...

    SBIR Phase I 2022 Department of DefenseNational Geospatial-Intelligence Agency
  7. 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
  8. 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
  9. 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
  10. Scene Geometry Aided Automatic Target Recognition (ATR) for Radar

    SBC: Stratagem Group, Inc., The            Topic: OSD221001

    Reducing the false alarm rate (FAR) of Automated Target Recognition (ATR) algorithms is crucial for intelligence, surveillance, reconnaissance (ISR) and precision target engagement missions. There are many contributing factors that result in higher FAR for deep learning (DL) ATR networks operating on Synthetic Aperture Radar (SAR) imagery, including: image distortions, unrepresentative target sign ...

    SBIR Phase I 2022 Department of DefenseNational Geospatial-Intelligence Agency
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