You are here

Award Data

For best search results, use the search terms first and then apply the filters
Reset

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. A Visibility Risk-Assessment Tool for Maritime Operations

    SBC: APPLIED OCEAN SCIENCES, LLC            Topic: 93

    Fog and smog reduce visibility at sea, greatly impacting ship navigation and safety. Low visibility marine conditions decrease speed and safety of commercial fleets and increase costs through poor fuel load planning. The COVID-19 pandemic underscored the importance of maritime operations to the supply chain; therefore, decreasing associated cost and risk are of the utmost importance. Applied Ocean ...

    SBIR Phase I 2023 Department of CommerceNational Oceanic and Atmospheric Administration
  2. EXCLAIM: a Decision Support Toolkit to Mitigate Impacts of Cascading Climate Hazards

    SBC: METRON INCORPORATED            Topic: 91

    "Metron proposes to develop user-friendly software to promote understanding of impacts due to cascading climate hazards and extreme weather events, in collaboration with George Mason University (GMU). Climate and extreme weather (CEW) hazards pose significant risks to life and property. As extreme events become more prevalent, risks associated with cascading, compound events come to the fore, such ...

    SBIR Phase I 2023 Department of CommerceNational Oceanic and Atmospheric Administration
  3. Participatory Sensor Networks for Marine Navigation

    SBC: CELL MATRIX CORPORATION            Topic: 95

    The primary objective of this project is to improve awareness, safety and enjoyment for mariners in coastal and inland waters by the creation of a participatory sensor network (PSN) that facilitates sharing of marine observations with other mariners. We are adding a new degree of temporal fidelity to nautical charts and maps. The approach leverages volunteered geographic information to augment con ...

    SBIR Phase II 2022 Department of CommerceNational Oceanic and Atmospheric Administration
  4. HABSSED: Harmful Algal Bloom Surveillance by Sequencing of Environmental DNA

    SBC: ELDER RESEARCH, INC.            Topic: 92

    Harmful algal blooms (HABs) represent a significant problem for the Blue Economy, adversely affecting drinking water, commercial fisheries, water recreation, and tourism. Early detection of HABs is crucial in mitigating their effects. We propose to continue our development of HABSSED (Harmful Algal Bloom Surveillance by Sequencing of Environmental DNA) into the prototyping phase. The HABSSED pipel ...

    SBIR Phase II 2022 Department of CommerceNational Oceanic and Atmospheric Administration
  5. Participatory Sensor Networks for Marine Navigation

    SBC: CELL MATRIX CORPORATION            Topic: 95

    The primary objective of the proposed endeavor is to build a community-driven marine coastal data harvesting ecosystem that not only provides a benefit to the individuals within the coastal community, but also enhances the data quality, completeness and timeliness of maritime safety and navigation databases. The approach leverages volunteered geographic information to motivate dataset generation f ...

    SBIR Phase I 2021 Department of CommerceNational Oceanic and Atmospheric Administration
  6. Machine Learning Applied to Counterfeit Detection

    SBC: GRAF RESEARCH CORPORATION            Topic: DMEA192002

    The machine learning for counterfeit detection research program continues the successful Phase 1 feasibility study of applying machine learning to detect FPGA counterfeits. In Phase 1, Graf Research demonstrated the feasibility of implementing a machine learning based counterfeit detection platform for a single FPGA device and representing data characteristic of repackaged counterfeit devices.  T ...

    SBIR Phase II 2021 Department of DefenseDefense Microelectronics Activity
  7. 4H-SiC BiCMOS Development on 6” wafers in a High-Volume Production Foundry

    SBC: GENESIC SEMICONDUCTOR INC.            Topic: DMEA211001

    GeneSiC Semiconductor is leveraging recently reported novel techniques for high-performance 4H-silicon carbide MOSFETs, deep in-house expertise in SiC device design and robust device manufacturing facilities at automotive-qualified production foundry X-Fab Texas, for the development of a comprehensive 4H-SiC BiCMOS process platform in this DMEA SBIR program for mission-critical DoD applications an ...

    SBIR Phase I 2021 Department of DefenseDefense Microelectronics Activity
  8. HABSSED: Harmful Algal Bloom Surveillance by Sequencing of Environmental DNA

    SBC: ELDER RESEARCH, INC.            Topic: 92

    Harmful Algal Blooms (HABs) pose a significant and increasing risk, both to human health and to the Blue Economy. ‘Omics approaches to early detection promise to help mitigate these risks. We propose to develop HABSSED (HAB Surveillance by Sequencing of Environmental DNA) a portable, reliable, rapid, low-cost pipeline for detecting HABs in the field using 3rd generation sequencing with the Oxfor ...

    SBIR Phase I 2021 Department of CommerceNational Oceanic and Atmospheric Administration
  9. Developing Regional GIC Hazard Tools for Power Utility Planning and Operations

    SBC: COMPUTATIONAL PHYSICS, INC.            Topic: 9302

    Geomagnetically induced current (GIC) hazard is a recognized threat to the United States power system. Federal models to support hazard specification and prediction for critical infrastructure are at an advanced state, including models of space weather, the Earth’s conductive structure, and regional geoelectric field. We propose to use existing NOAA Space Weather Prediction Center (NOAA-SWPC) mo ...

    SBIR Phase I 2020 Department of CommerceNational Oceanic and Atmospheric Administration
  10. Machine Learning Applied to Counterfeit Detection

    SBC: GRAF RESEARCH CORPORATION            Topic: DMEA192002

    The machine learning for counterfeit detection research program commences with a study evaluating the feasibility of applying machine learning to detect FPGA counterfeits. The underlying process will be broadly applicable throughout the supply chain. Using a proprietary non-destructive means of gathering data from FPGA devices, we will then make use of the data in a variety of machine learning alg ...

    SBIR Phase I 2020 Department of DefenseDefense Microelectronics Activity
US Flag An Official Website of the United States Government