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The Award database is continually updated throughout the year. As a result, data for FY23 is not expected to be complete until September, 2024.

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. Machine Learning and Data Fusion platform for Phenotype-based Pathogen Identification

    SBC: TRITON SYSTEMS, INC.            Topic: ST18C002

    Conventional methods for detecting pathogens, which are based on culturing the microorganism, are time-consuming and laborious. Machine learning provides an alternative path to identify pathogens using supervised learning algorithms. Most current computational tools utilize genomic or protein data to identify bacteria. These methods look for features in the whole genome that correlate to pathogeni ...

    STTR Phase I 2019 Department of DefenseDefense Advanced Research Projects Agency
  2. M&S Uncertainty Quantification

    SBC: OPTIMIZATION TECHNOLOGIES, INC.            Topic: MDA12T007

    OptTek Systems, Inc (OptTek), proposes an affordable, effective UQ capability for both legacy and new BMDS M & S. The OptTek Team includes research institution partner Oak Ridge National Laboratory (ORNL) and subcontractor RTSync Corporation (RTSync). The proposed BMDS M & S UQ capability maximizes insertability into existing and future MDA BMDS M & S-supported Event processes, analysis methods, a ...

    STTR Phase I 2013 Department of DefenseMissile Defense Agency
  3. M&S Uncertainty Quantification

    SBC: NUMERICA CORPORATION            Topic: MDA12T007

    A goal of Uncertainty Quantification (UQ) is to use computer simulation of complex systems to make scientifically informed assessments for high-consequence decisions. Because end-to-end empirical data is difficult to obtain for the Ballistic Missile Defense System (BMDS), computer simulation provides the best method for understanding BMDS capabilities against a wide range of threats. Numerica Co ...

    STTR Phase I 2013 Department of DefenseMissile Defense Agency
  4. MANERVA: Mission Assessment of Non-Manned Entities for Rating the Validation of Autonomy

    SBC: CHARLES RIVER ANALYTICS, INC.            Topic: OSD09T004

    The dependability, persistence, and versatility of unmanned systems have made them indispensable assets in today’s warfighting. As they are tasked to fulfill new missions in unpredictable, dynamic environments, they are transitioning from remote control into the realm of autonomy. Here they perform rapid and semi-autonomous behaviors, such as re-planning and re-tasking, to accomplish mission obj ...

    STTR Phase I 2010 Department of DefenseNavy
  5. Maneuver Prediction and Avoidance Logic For Unmanned Aircraft System Encounters with Non-Cooperative Air Traffic

    SBC: NUMERICA CORPORATION            Topic: N13AT003

    For Unmanned Aircraft Systems (UAS) to operate seamlessly in both the U.S. National Airspace System (NAS) and abroad, it will be crucial that they possess a sense-and-avoid (SAA) capability that can ensure safe operations among maneuvering, non-cooperative aircraft. Numerica Corporation, in partnership with Johns Hopkins University, proposes to develop a set of algorithms to model the uncertaintie ...

    STTR Phase I 2013 Department of DefenseNavy
  6. MAVERICK: Mixed-Automation Visualizer for Emerging Relationships & Insights in Complex Knowledge

    SBC: APTIMA INC            Topic: MDA18T001

    System-level simulations of the Ballistic Missile Defense System (BMDS) generate extremely large quantities of highly multidimensional data, which analysts at the Missile Defense Agency (MDA) must explore and analyze to infer insights and relationships. Existing tools based on automated routine scripts are ill-equipped to handle the volume and complexity of these data, requiring piecemeal analysis ...

    STTR Phase I 2019 Department of DefenseMissile Defense Agency
  7. Membraneless Water Purification via Continuous, Self-Contained, Vacuum-Assisted Diffusiophoresis

    SBC: MAINSTREAM ENGINEERING CORP            Topic: A18BT005

    We propose the development of a membraneless water purification system using continuous, self-contained, vacuum-assisted diffusiophoresis. Using diffusiophoresis allows the system to clean water contaminated with particulates and bacteria without membranes or filters, while producing a stream of fresh, drinkable water. The system will operate using only electricity supplied by portable batteries/s ...

    STTR Phase I 2019 Department of DefenseArmy
  8. Memory Optimization through Vagally Enhanced Signaling (MOVES)

    SBC: Infoscitex Corporation            Topic: ST092001

    There are many situations in DOD missions when soldiers could operate much more effectively if they could successfully recall previously presented information that is vital for mission execution. However, the quantity of information supplied to today’s Warfighter is constantly increasing. This is due to greater reliance on network-centric operations and the expanding range of missions Warfighter ...

    STTR Phase I 2010 Department of DefenseDefense Advanced Research Projects Agency
  9. MEMS based thermopile infrared detector array for chemical and biological sensing

    SBC: BFE Acquisition Sub II, LLC            Topic: A10AT004

    Thermopile arrays manufactured using integrated process compatible materials and micro-machining will provide high performance with low manufacturing cost. Black Forest Engineering (BFE) teamed with Case Western Reserve University will design thermopiles using silicon based semiconductors and compare performance. Low cost thermopiles, differentially coupled with advanced BFE CMOS readout, will pr ...

    STTR Phase I 2010 Department of DefenseArmy
  10. Metal-blacks for plasmonic enhancement of solar-cell efficiency

    SBC: Physical Engineering Corporation            Topic: AF09BT39

    This Phase I STTR proposal will demonstrate nanostructured “metal-black” coatings to enhance absorption by thin film solar cells. The problem is that silicon has low absorption due to its indirect gap. The opportunity is that nano-scale metallic scattering centers increase the effective optical path length and enhance the solar electric-field strength in thin-film solar cells, leading to more ...

    STTR Phase I 2010 Department of DefenseAir Force
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