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Award Data

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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. Detection of “active” biological toxins by exploiting native binding specificities

    SBC: BINERGY SCIENTIFIC, INC.            Topic: CBD14101

    A chemical threat agent mode of action is often initiated through a selective interaction with a biological molecule or structure. The binding event mimics normal cellular processes, but then overruns natural control mechanisms leading to toxic and lethal effects. The native binding specificity is used to design sensor recognition elements that outperform conventional antibody-based biosensors. Ou ...

    SBIR Phase II 2019 Department of DefenseOffice for Chemical and Biological Defense
  2. Techniques for Real-time Hypervelocity Projectile fly-out Generation and Optimization

    SBC: VADUM INC            Topic: MDA18002

    Vadum has demonstrated the Optimal Advanced Hypervelocity Projectile (HVP) Trajectory System (OATHS) which increases the performance of the HVP by optimizing HVP trajectory to its target. OATHS was prototyped and tested using an in-house MATLAB-based combat system development environment. The results of Phase I testing show that OATHS can feasibly increase HVP probability of kill or reduce the tot ...

    SBIR Phase II 2019 Department of DefenseMissile Defense Agency
  3. Signal Matching via Computationally Efficient Hashing

    SBC: VADUM INC            Topic: NGA172003

    Vadum will develop and demonstrate a software tool for rapid, accurate matching of time-series data to a previously collected database. The Clustered, Shingled Hashing of Random Projections (C-SHARP) tool maps a library of time series data to a compact database of fingerprints. The tool enables efficient queries for matches to a new time series by identifying fingerprint similarity. To support dif ...

    SBIR Phase II 2019 Department of DefenseNational Geospatial-Intelligence Agency
  4. Conflation of 3D Foundation Data

    SBC: INTERNATIONAL ASSOCIATION OF VIRTUAL ORGANIZATIONS, INCORPORATED            Topic: NGA172007

    NGA seeks a solution to provide highly accurate foundation data of buildings, similar features, and linear structures by conflating information from multiple images and contributed content. Our solution “AMCON Geo” (Automated Multi-source Conflation, Geospatial) is a framework for combining multiple sources together to improve overall relative and absolute accuracies of the data, and increase ...

    SBIR Phase II 2019 Department of DefenseNational Geospatial-Intelligence Agency
  5. High Electrical Efficiency GaN FETs for Innovative Radar/RF Sensors

    SBC: KYMA TECHNOLOGIES, INC.            Topic: MDA05035

    Kyma Technologies proposes a research and development effort to fabricate and test GaN-based FETs on GaN and SiC substrates. AlGaN/GaN HEMT structures will be tested to identify the impact of defects on the thermal characteristics and degradation behavior in the devices in order to improve device performance and reliability. Thermal models of GaN-based FETs on GaN substrates with comparisons to Si ...

    SBIR Phase II 2007 Department of DefenseMissile Defense Agency
  6. Manufacturing Process for Semi-insulating 4" Diameter GaN Substrates

    SBC: KYMA TECHNOLOGIES, INC.            Topic: N/A

    The overall objective of this Phase II effort is to implement a HVPE crystal growth tool for large diameter GaN crystals suitable for 4" diameter substrates. Using this new crystal growth platform, Kyma will optimize its design and operation to develop a manufacturing process for growing high quality, low defect density semi-insulating GaN substrates. CFD modeling will be used extensively to ident ...

    SBIR Phase II 2007 Department of DefenseMissile Defense Agency
  7. Manufacturing Process for Semi-insulating 4" Diameter GaN Substrates

    SBC: KYMA TECHNOLOGIES, INC.            Topic: N/A

    The overall objective of this Phase II effort is to implement a HVPE crystal growth tool for large diameter GaN crystals suitable for 4" diameter substrates. Using this new crystal growth platform, Kyma will optimize its design and operation to develop a manufacturing process for growing high quality, low defect density semi-insulating GaN substrates. CFD modeling will be used extensively to ident ...

    SBIR Phase II 2007 Department of DefenseMissile Defense Agency
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