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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. Comprehensive Surf Zone Modeling Tool

    SBC: Arete Associates            Topic: N19AT010

    Areté Associates, along with STTR partner Rochester Institute of Technology (RIT), are proposing a comprehensive software capability for scene generation, object insertion, and performance modeling for passive and active EO COBRA sensors over the surf zone. The Surf Zone Modeling Tool (SZT) will incorporate several technologies, including: open-source and Areté-designed SZ ocean physics models, ...

    STTR Phase I 2019 Department of DefenseNavy
  2. Data Science Techniques for Various Mission Planning Processes and Performance Validation

    SBC: Perceptronics Solutions, Inc.            Topic: N19BT029

    Mission and planning is a difficult and time-consuming process that places a heavy burden on manpower and critical thinking and is performed under significant pressure. Existing and emerging artificial intelligence (AI) and machine learning (ML) techniques are well-suited to assisting humans with these challenges. While the promise of AI/ML is great, there are significant obstacles to operationali ...

    STTR Phase I 2019 Department of DefenseNavy
  3. Conjugate heat transfer for LES of gas turbine engines

    SBC: CASCADE TECHNOLOGIES INC            Topic: N19BT027

    Current design tools for gas turbine engines invoke a variety of simplifying assumptions to estimate heat transfer to solid/metal engine components (e.g., isothermal boundary conditions). These approximations are often not valid, result in inaccurate predictions of heat transfer, and ultimately compromise the thermal integrity of propulsion and power systems. Wall-modeled large eddy simulation (WM ...

    STTR Phase I 2019 Department of DefenseNavy
  4. Optimized Higher Power Microwave Sources

    SBC: Epirus, Inc.            Topic: N19AT001

    Epirus presents a high powered microwave source that leverages ultra high power density solid state materials, called Leonidas, to meet all of the government’s objectives for the vehicle stop and vessel stop mission. The Leonidas unit has already achieved over 10 kW of effective radiated power (ERP) in laboratory tests using software definable solid state technology and we show how this scales t ...

    STTR Phase I 2019 Department of DefenseNavy
  5. Nanocomposite Scandate Tungsten Powder for High Current Density and Long Life Thermionic Cathodes

    SBC: Vacuum Process Engineering, Inc.            Topic: N15AT010

    Vacuum Process Engineering, Inc. (VPE), in collaboration with the University of California, Davis (UC Davis), proposes to develop and quantitatively verify a large scale production process for scandate tungsten nanocomposite powder to be used in high current density and long life cathodes during the Phase II effort. The plan for implementation of the large scale production process at VPE with powd ...

    STTR Phase II 2017 Department of DefenseNavy
  6. Temperature Sensing Submarine ISR Buoy / Surface Ship Sensor Tow Cable

    SBC: MAKAI OCEAN ENGINEERING INC            Topic: N18AT017

    The U.S. Navy currently utilizes a number of towed systems from surface ship and submarines for sensing and communication applications. In a number of these cases, a tow cable extends either down from a surface ship or up from a submarine through the upper part of the water column where seawater temperature can be both highly variable vs. depth and dynamic in time and geographic location. Having a ...

    STTR Phase II 2019 Department of DefenseNavy
  7. Visual Tools and Progressive Automation for Complex Knowledge Management and Decision Support

    SBC: Stottler Henke Associates, Inc.            Topic: N17AT004

    We propose to adapt and automate the processes and technologies associated with evidence-based decision support to the Navy—providing a tool that can synthesize current cognitive and learning science knowledge and inform decisions so as to maximize the value gained for each training expenditure. We will develop a plug-play architecture that will allow us to make the best use of emerging technolo ...

    STTR Phase II 2019 Department of DefenseNavy
  8. Reliable Manufacturing of Scandia-doped Tungsten Powders for Thermionic Cathodes

    SBC: NGIMAT, LLC            Topic: N15AT010

    In this Phase II STTR effort, nGimat will partner with the University of Kentucky (UK) and 3M/Ceradyne to continue development of W-scandate cathode composite materials. Compared to conventional M-type cathodes, these composite scandate nanomaterials will enable longer cathode lifetime by lowering the required operating temperature. nGimat is an established and successful powder manufacturing comp ...

    STTR Phase II 2017 Department of DefenseNavy
  9. Protocol Feature Identification and Removal

    SBC: P & J ROBINSON CORP            Topic: N18AT018

    Protocols used for communication suffer bloat from a variety of sources, such as support for legacy features or rarely used (and unnecessary) functionality. Traditionally, the Navy subscribes to a blanket adoption of a standard protocol "as is". Unnecessary features are active and can be accessed by both internal and external systems creating security vulnerabilities. PJR Corporation's (PJR's) Pha ...

    STTR Phase II 2019 Department of DefenseNavy
  10. Cognitive Adaptation and Mission Optimization (CAMO) for Autonomous Teams of UAS Platforms

    SBC: OPTO-KNOWLEDGE SYSTEMS INC            Topic: N17BT035

    The Navy needs cognitive control capabilities that enable an autonomous robotic team comprised of a ground control station node and a team of UAS platforms to operate independently (or with minimal human oversight) while carrying out complex missions. A cognitive control capability needs to be developed that concurrently optimizes the balance of mission risk / performance with respect to the Navy ...

    STTR Phase II 2019 Department of DefenseNavy
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