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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. 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
  5. Family-based breeding for production of higher-yielding Manila clam seed

    SBC: PACIFIC HYBREED INC            Topic: 93

    Farming of marine bivalves provides high-quality protein and has a positive impact on the coastal environment. The U.S. is a top producer of the Manila clam (Japanese carpet shell, Ruditapes philippinarum) with reported sales of $31 M in 2019. Production of clams, however, has depended almost entirely on seed from wild stocks and natural recruitment, leaving the industry vulnerable to ocean change ...

    SBIR Phase I 2023 Department of CommerceNational Oceanic and Atmospheric Administration
  6. Micro Raman Technology

    SBC: DETECTACHEM, INC.            Topic: SOCOM213D005

    Micro-Raman technology, that is embedded on a smartphone Platform. Micro-Raman will be a fraction the size of existing systems and fit into the Digital SOCOM initiative. The Smart device allows for the integration of other platforms such as colorimetric and biometric integration into reporting capabilities.

    SBIR Phase II 2022 Department of DefenseSpecial Operations Command
  7. Squad Aiming Laser- Ultra High Power

    SBC: B.E. Meyers & Co. Inc.            Topic: SOCOM213D006

    In an effort to maintain the advantage of today’s SOF operators, a new weapon mounted laser pointer and illuminator system is proposed. To increase survivability and lethality of the operator, the system will minimize size and weight while improving performance, reliability and operability. The development of a new laser based variable divergence illuminator will provide ideal beam clarity over ...

    SBIR Phase II 2022 Department of DefenseSpecial Operations Command
  8. 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
  9. Tree Tracker: An Intelligent Plant Production Optimization Software

    SBC: QUALTERRA, INC.            Topic: 2

    Recurring environmental extremes and disease events threaten large plantings of high-value perennial crops. Due to environmental and economic drivers, the demand for highest-quality, disease-free, true-to-type planting material in large volumes for vegetatively propagated high-value perennial crops is predicted to increase substantially in the next decades. This demand can be rapidly fulfilled thr ...

    SBIR Phase I 2022 Department of CommerceNational Institute of Standards and Technology
  10. SHELL

    SBC: Overmatch, Inc.            Topic: SOCOM22DST01

    Bottom line up front: The next-generation operator requires an effective, immersive training platform supporting haptic force feedback and natural real-time representations of operational environments. Problem: Current operator training equipment lacks realism and accuracy for effective immersion of field scenarios. Training under these circumstances leaves many variables excluded from the operato ...

    STTR Phase I 2022 Department of DefenseSpecial Operations Command
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