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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. In-Field Magnetometry for Determination of Lithium Battery SOC

    SBC: TDA RESEARCH, INC.            Topic: 23PH3

    By 2030 the entire lithium-ion battery chain, from mining through recycling, is expected to reach a value of $400 billion and a market size of 4.7 TWh. LiB are used in personal electronic devices, e-bikes, tools, green-power storage and electric vehicles. Individual cells are commonly collected into packs or modules to provide the power required for automotive operation. The operational capability ...

    SBIR Phase I 2023 Department of Transportation
  2. A Low-Cost High-Capacity Portable Stormwater Treatment System for Emerging Contaminants

    SBC: TDA RESEARCH, INC.            Topic: 23FH1

    The State Departments of Transportation (DOTs) have limited right-of-way (ROW) to construct stormwater treatment controls. Hence innovative self-contained portable stormwater treatment systems are needed to reduce impacts on streams, and other waters; recreation facilities, and habitat by addressing emerging stormwater pollutants, particularly the suspended and dissolved pollutants from highway co ...

    SBIR Phase I 2023 Department of Transportation
  3. Hydrosat: Next Generation High-Resolution Daily Surface Temperature for Interconnected Earth Processes

    SBC: HYDROSAT INC            Topic: 94

    Temperature is the critical signal that allows monitoring of a myriad of Earth’s processes. From direct measurements of wildfire and urban heat to more complex relationships with drought, agriculture, aquaculture, and biodiversity, maintaining a steady pulse on Earth’s surface temperature enables us to mitigate for and adapt to the impacts of extreme events and increasingly variable water avai ...

    SBIR Phase I 2023 Department of CommerceNational Oceanic and Atmospheric Administration
  4. Low SWaP, UxS-Mounted System for In-Situ Monitoring of Harmful Algal Blooms

    SBC: HYDROSAT INC            Topic: 92

    The brevetoxins (PbTx) produced by Karenia brevis cause harmful algal blooms (HAB) or "red tide" in seawater. Currently, the only available ways of detecting PbTx are laboratory tests such as enzyme-linked immunosorbent assays, which are expensive and slow, and require complex instrumentation and multiple processing steps. In previous work Intelligent Optical Systems (IOS) demonstrated a compact l ...

    SBIR Phase I 2023 Department of CommerceNational Oceanic and Atmospheric Administration
  5. CHATMAN Phase II

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

    Reducing the False Alarm Rate (FAR) of Automated Target Recognition (ATR) algorithms for Synthetic Aperture Radar (SAR) imagery is crucial for Intelligence, Surveillance, Reconnaissance (ISR) and precision target engagement missions. While modern Deep Learning (DL) ATR networks have demonstrated advanced predictive capabilities and generalization for SAR imagery, they lack spatial awareness, resul ...

    SBIR Phase II 2023 Department of DefenseNational Geospatial-Intelligence Agency
  6. 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
  7. Seeing the World in Real-Time with Automated Land Use Monitoring

    SBC: IMPACT OBSERVATORY INC            Topic: OSD221D04

    Impact Observatory recently demonstrated production of the world’s first fully automated time series of annual global land use land cover (LULC) maps at 10m resolution using deep learning algorithms applied to Sentinel-2 satellite imagery. We propose to develop an AI-powered prototype system for automated mapping and change monitoring of the world that can be applied continuously, in near real-t ...

    SBIR Phase II 2022 Department of DefenseNational Geospatial-Intelligence Agency
  8. Live and Continuous Monitoring of Metal Cylinders and Tanks using Distributed Carbon Nanomaterial-based Sensing Networks

    SBC: MCET TECHNOLOGIES LLC            Topic: 22PH1

    This SBIR effort proposes using live and continuous monitoring of metal tanks, pressure vessels, and pipelines using carbon nanomaterial-based sensing skins to detect excessive physical strains, cracks, and to inspect impact damage. The proposed research and development work leverages 15+ years of fundamental research. The key objective is to advance the TRL level and the scalability of carbon nan ...

    SBIR Phase I 2022 Department of Transportation
  9. Micro-Scale, High-Accuracy, Photogrammetry Equipment (MSHAPE)

    SBC: ADA TECHNOLOGIES, INC.            Topic: 21FR2

    ADA Technologies is proposing to develop a novel and unique system, called MSHAPE, to inspect railroad wheels in extremely fine geometric detail. This portable system, based on off-the-shelf components, will provide manufacturers, operators, maintainers and authorities ultra-high-accuracy measurements (better than .0005”) that will be used to assess the compliance of wheels with strict regulator ...

    SBIR Phase II 2022 Department of Transportation
  10. 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
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