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The Award database is continually updated throughout the year. As a result, data for FY22 is not expected to be complete until September, 2023.

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.

  1. Accurate Flow-Through Conductivity Sensor for Autonomous Systems

    SBC: D 2 INCORPORATED            Topic: N18AT022

    UUVs have become increasingly important tools in the collection of environmental data. Their unique ability to operate independent of surface vessel conditions allows oceanographic seawater measurements when traditional means is not possible. Historically sensor packages for UUVs have been based on adaptions of ship deployed equipment. Recent development in sensors, such as the Hybrid Flow Through ...

    STTR Phase I 2018 Department of DefenseNavy
  2. Active Imaging through Fog

    SBC: SA Photonics, Inc.            Topic: N18AT021

    Active imaging systems are used to for imaging in degraded visual environments like that found in marine fog and other environments with a high level of attenuation and scattering from obscurants like fog, rain, smoke, and dust.These systems are still limited in range and resolution. SA Photonics is taking advantage of multiple image enhancement techniques, like wavelength tunability, pulse contro ...

    STTR Phase I 2018 Department of DefenseNavy
  3. Adaptive Fleet Synthetic Scenario Research

    SBC: KAB LABORATORIES INC.            Topic: N10AT044

    Synthetic scenario-based training of Navy personnel in the use of Navy SIGINT/IO systems has helped to reduce training costs, and it has enabled the personnel to be trained in an environment that sufficiently approximates real-world situations that could not otherwise be accomplished within the class room. However, scenario development is highly complex and involves a great deal of human effo ...

    STTR Phase I 2010 Department of DefenseNavy
  4. Adaptive Learning for Stall Pre-cursor Identification and General Impending Failure Prediction

    SBC: Frontier Technology Inc.            Topic: N10AT008

    Frontier Technology, Inc. (FTI) and Northeastern University propose to investigate and develop an innovative approach to predict stall events of aircraft engines prior to occurrence and in sufficient time to allow the FADEC controller to adjust engine variables. The team will utilize vector quantization and neural network techniques to develop accurate models of engine behavior that will be used t ...

    STTR Phase I 2010 Department of DefenseNavy
  5. Additive manufacturing for Li-ion batteries

    SBC: Physical Sciences Inc.            Topic: N18AT008

    Physical Sciences Inc. (PSI) will develop novel feedstocks for 3D printing of lithium-ion batteries using existing additive manufacturing technologies. Lithium-ion batteries simultaneously offering high energy and power density energy will be demonstrated using the novel feedstock materials. PSI’s proprietary HA coating technology will be utilized in the feedstock formulations to maximize active ...

    STTR Phase I 2018 Department of DefenseNavy
  6. Additive Manufacturing for Microwave Vacuum Electron Device Cost Reduction

    SBC: Radiabeam Technologies, LLC            Topic: N16AT010

    The Department of the Navy has a need for the development of an additive manufacturing (AM) process for key vacuum electronic device components to meet on-demand, flexible, and affordable manufacturing requirements. The developed manufacturing method has a potential to reduce cost of vacuum electronics by as much as 70% as well as simplify and hence expedite production process of these devices by ...

    STTR Phase I 2016 Department of DefenseNavy
  7. Additive Manufacturing for Naval Aviation Battery Applications

    SBC: Texas Research Institute, Austin, Inc.            Topic: N18AT008

    Texas Research Austin (TRI-Austin) will partner with the University of Texas, Austin, and will use diverse printing technologies to fabricate the components of selected battery chemistries (Li-ion, Zn-air, Zn-Ag). In the Phase I base period, each battery component will be printed with a technology that has been previously used to deposit the required material (i.e. ADM for metals, SLS for polymers ...

    STTR Phase I 2018 Department of DefenseNavy
  8. Additive Manufacturing of 17-4 PH Stainless Steel Metal Matrix Composites using Nickel functionalized Carbon Nanotubes

    SBC: Shepra, Inc.            Topic: N16AT007

    Additive Manufacturing (AM) has a potential to significantly reduce the cost and lead time associated with the maintenance and sustainment issues faced by the US Navy. However, current materials such as 17-4 PH Stainless Steel typically achieve half the required mechanical properties when additively manufactured, thus limiting the use of AM in critical parts. Recent advancements in carbon nanotube ...

    STTR Phase I 2016 Department of DefenseNavy
  9. ADP: Autonomous Deep Perception

    SBC: LYNNTECH INC            Topic: N13AT016

    Autonomous systems acquire massive amounts of sensor and communications data over the course of their potentially lengthy missions. Ideally, such systems would incorporate current and historical data into their decision making processes to generalize from experience and avoid repetitive errors. However, the sheer quantity of data gathered can make storage and processing of an unfiltered data strea ...

    STTR Phase I 2013 Department of DefenseNavy
  10. Advanced Command and Control Architectures for Autonomous Sensing

    SBC: TOYON RESEARCH CORPORATION            Topic: N18BT030

    We propose to develop an innovative open architecture for the semi-autonomous command and control (C2) of teaming Unmanned Aircraft Systems (UAS). The proposed architecture, based upon Toyon’s Decentralized Asset Management system, supports both centralized and decentralized fusion and control autonomy solutions as well as hybrids approaches. Leveraging STANAG-4586, TCP/IP, UPD, Google™ protob ...

    STTR Phase I 2019 Department of DefenseNavy
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