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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. Multi-lingual Social-media Crowd Manipulation Detector (MSCMD)

    SBC: BCL Technologies            Topic: N19AT024

    In this SBIR, BCL proposes developing a Multi-lingual Social-media Crowd Manipulation Detector (MSCMD). The MSCMD will use natural language processing techniques to detect terms that arouse emotion using information out of context to trigger reaction from the audience and move them to act.The MSCMD will operate in Asian languages using a Natural Language Processor for each language. The MSCMD will ...

    STTR Phase I 2019 Department of DefenseNavy
  2. Multi-Functional Nanotube-Based Sensor Array for Detecting Blood Coagulation Defects

    SBC: INNOSENSE CORPORATION            Topic: DHA19A001

    Defense Health Agency (DHA) is seeking a multi-functional diagnostic to determine blood coagulopathy in real time at point-of-care (POC). Blood coagulopathy, resulting in uncontrolled bleeding, is implicated in 80% of operating room deaths and 50% of trau

    STTR Phase I 2019 Department of DefenseDefense Health Agency
  3. Mitigation of USV Motions via Wave Sensing and Prediction

    SBC: ADVANCED SCIENTIFIC CONCEPTS, LLC            Topic: N10AT036

    Advanced Scientific Concepts, Inc. (ASC) has teamed with the Department of Ocean Engineering at The University of Rhode Island to devise a sensor suite and computer algorithm to predict ocean waves to aid autonomous boat navigation in heavy weather. The centerpiece of the sensor suite is a Lidar designed by ASC that is adapted to image the ocean at glancing angles. It’s ability to acquire a 3D s ...

    STTR Phase I 2010 Department of DefenseNavy
  4. Miniature Electronic DFI for 5-20 Hp HFE

    SBC: JM HARWOOD, LLC            Topic: N10AT033

    JM Harwood, LLC, and UAH Propulsion Research Center propose the development of an electronic miniature Direct Fuel Injection (DFI) system for 5-20 hp heavy fuel engines. This highly integrated Very Small Injection Technology (V-SInTech) DFI system will be capable of (a) multiple injections per cycle, (b) variable injection timing, (c) variable spray penetration depth, (d) real-time closed loop mod ...

    STTR Phase I 2010 Department of DefenseNavy
  5. MgB2-Coated RF Cavities for Free Electron Laser

    SBC: SUPERCONDUCTOR TECHNOLOGIES, INC.            Topic: N10AT023

    Free electron lasers (FEL) made from Nb cavities offer high performance, but they are complex, bulky, and expensive. For Navy FEL applications, where footprint, power consumption, and cost are severely constrained and reliability is of great importance there is a critical need for an alternative to Nb. MgB2 is a recently discovered superconductor with a high critical temperature and critical field ...

    STTR Phase I 2010 Department of DefenseNavy
  6. Metamaterial Antennas Imbedded with Ballistic Armor (PDRT10-006)

    SBC: VANGUARD SPACE TECHNOLOGIES, INC            Topic: N10AT021

    The proposed STTR will demonstrate how magnetic meta materials based antennas are ideal for integration into composite structures where the graphite composite backplanes can be integrated with dielectric ballistic protection materials that surround, yet do not interfere with the antenna. In ongoing research we have shown such antennas can approach the theoretical Gain-Bandwidth Product (GBWP) limi ...

    STTR Phase I 2010 Department of DefenseNavy
  7. Mechanical Property Characterization and Modeling for Structural Mo-Si-B Alloys for High Temperature Applications

    SBC: Imaging Systems Technology, Inc.            Topic: N13AT012

    Under this STTR, Imaging Systems Technology (IST) in cooperation with Georgia Institute Technology (GIT) will develop and mature models to predict mechanical properties of refractory alloys with an eye toward tailoring these alloys for specific applications. In particular, this research will focus on addressing core aspects of Integrated Computational Materials Engineering (ICME) as it applies to ...

    STTR Phase I 2013 Department of DefenseNavy
  8. Mechanical Property Characterization and Modeling for Structural Mo-Si-B Alloys for High Temperature Applications

    SBC: Deep Springs Technology            Topic: N13AT012

    The objective of the work described in this proposal is to aid in the advancement of Mo-Si-B alloys for use in high temperature applications such as hot gas stream components in turbine engines. Such alloys are being characterized for their monotonic tensile properties in tension and compression as well for their creep resistance. Likewise, multiphase Mo-Si-B alloys have been studied in terms of m ...

    STTR Phase I 2013 Department of DefenseNavy
  9. Meaning-Aligned Record Synthesis for Training Emerging Capabilities (MARSTEC)

    SBC: SOAR TECHNOLOGY, LLC            Topic: N18AT003

    Operational experts collect recorded data about emerging tactics, techniques, and procedures (TTPs) from sources such as live and virtual training exercises, and numerous test and evaluation simulations. However, instructional designers cannot easily reuse the recorded data to create new training. Without sufficient access to operational experts, expert knowledge is inaccessible and fragmented, of ...

    STTR Phase I 2018 Department of DefenseNavy
  10. 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
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