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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. Expeditionary Virtualization Training Unit for Undersea Warfare Decision Support System

    SBC: MARINE ACOUSTICS INC            Topic: N231044

    The MAI team is developing a solution for a portable expeditionary AN/UYQ-100 USW-DSS unit that will have standalone and integrated Consolidated Afloat Network Enterprise Services (CANES) capabilities to further enhance individual unit and watchteam team ASW & ASUW capabilities. The MAI team will incorporate a robust embedded interactive training curriculum applicable to operators and supervisors. ...

    SBIR Phase I 2023 Department of DefenseNavy
  2. Jaia Robotics, Inc.

    SBC: Jaia Robotics, Inc.            Topic: 96

    "Jaia Robotics’ low-cost, micro-sized hybrid uncrewed surface/underwater vehicles called JaiaBotsTM can be deployed from the shore or vessels. The system enables truly affordable multivehicle operations that can be scaled to provide wide area synoptic data collection. In the proposed effort the project team will develop a JaiaBot which is air-deployable from sonobuoy launch tubes to collect atmo ...

    SBIR Phase I 2023 Department of CommerceNational Oceanic and Atmospheric Administration
  3. Enabling Expanded Crowdsourced Bathymetry Contributions With High Quality Metadata Via Commercially Sustainable Incentives To Contributors

    SBC: FARSOUNDER INC            Topic: 93

    A cloud based system for sharing bathymetric survey data collected by FarSounder customers is proposed as a way(1) to improve safety of navigation on our oceans, (2) to collect measurements for the broader scientific and maritime communities and (3) to generally explore and broadly share information about our oceans in fulfillment of ideas proposed in Topic 9.3 “The Changing Ocean”, and in acc ...

    SBIR Phase I 2023 Department of CommerceNational Oceanic and Atmospheric Administration
  4. UrbanScale: Physics Informed Deep Learning Framework to Generate High-Resolution Urban Temperature Data

    SBC: SYNTHETIK APPLIED TECHNOLOGIES LLC            Topic: 91

    Elevated temperatures observed in urban areas have significant implications for human health, energy consumption and infrastructure reliability, and their negative effects disproportionately impact disadvantaged populations. Increasing scientific and practical understanding of urban heat islands is an important step in identifying those regions at elevated risk, and effective mitigation strategi ...

    SBIR Phase I 2023 Department of CommerceNational Oceanic and Atmospheric Administration
  5. Signal Processing for Underwater Detection and Localization

    SBC: MIKEL INC            Topic: N231048

    Mine countermeasure (MCM) operations employ neutralizers with a small explosive charge to engage naval mines. During the engagement, the neutralizer approaches a targeted mine and detonates its explosive charge, which can cause a sympathetic detonation or lower-order reaction in the naval mine. Battle damage assessment (BDA) to determine the outcome of the attack currently requires a follow-on mis ...

    SBIR Phase I 2023 Department of DefenseNavy
  6. Engineering the Mesh, Cold Weather Baselayer Undershirt and Drawer with Seamless Knitting

    SBC: PROPEL, LLC            Topic: N231002

    Propel proposes to conduct research in order to determine the performance level of a seamless cold weather mesh undershirt and drawers as compared to the existing undershirt and drawers.  Propel shall develop initial concepts and evaluate their technical feasibility.  Comparison to conventionally sewn seams using internationally recognized standards and test methods, as well as novel test method ...

    SBIR Phase I 2023 Department of DefenseNavy
  7. Optimal Geophone Arrays and 3D Seismic Tomography with Physics-Informed Neural Networks for Subterranean Shipyard Mapping

    SBC: SYNTHETIK APPLIED TECHNOLOGIES LLC            Topic: N224129

    Obtaining an accurate map and assessment of subterranean site conditions is an important component of geotechnical engineering. However, despite recent advances in seismic imaging and tomography this is still very much an open problem and one that can lead the use of large factors of safety and can result in substantial additional project costs and delays as geophysical features may be unexpectedl ...

    SBIR Phase I 2023 Department of DefenseNavy
  8. TALON: Multi-INT Metadata Extraction for Threat Detection

    SBC: VISION SYSTEMS INC            Topic: N222118

    Despite a large and growing set of available data sources across many domains, identifying and tracking developing threats in operational domains remains a critical unsolved problem. Extraction of relevant threat information and correlation across multiple modalities is required to take full advantage of the data available. VSI proposes TALON, a system for leveraging natural language descriptions ...

    SBIR Phase I 2023 Department of DefenseNavy
  9. Defect Detection in Metal Additive Manufacturing

    SBC: PRODUCT INNOVATION AND ENGINEERING LLC            Topic: N222117

    In-process inspection offers a path forward to insuring components produced via metal additive manufacturing (AM) such as directed energy deposition (DED). However, a simple anomaly detection ML technique driven from observational data may be insufficient for tracking the performance of a system intended to produce arbitrary geometry. The methodology chosen for a defect monitoring system must be g ...

    SBIR Phase I 2023 Department of DefenseNavy
  10. Autonomous Environmental UAV Survey System for Wildfire Assessments

    SBC: Robotics 88, Inc.            Topic: 92

    Wildfire response planning is limited by the lack of high-resolution data for use in wildfire prediction. Wildfire models depend on many variables, including weather, topography, vegetation type and arrangement, fuel moisture content, and regional fire prevention measures, among others. Some of these variables are static or nearly so, but some of these are highly dynamic. In particular, live fuel ...

    SBIR Phase I 2022 Department of CommerceNational Oceanic and Atmospheric Administration
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