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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. CyberSTEPS- Cyber Skills Training with Electronic Performance Support

    SBC: TIER 1 PERFORMANCE SOLUTIONS LLC            Topic: AF16AT08

    There are many challenges in creating Air Force systems that are resilient against cyber threats. The cyber environment and its threats are highly dynamic, requiring practices and training to be dynamic as well. Cyber threats must be considered during th...

    STTR Phase I 2016 Department of DefenseAir Force
  2. M-PATCHES: Measurement of Performance And Team Coordination in Heterogeneous Environments

    SBC: APTIMA INC            Topic: AF16AT09

    The Air Support Operations Center (ASOC) is a complex sociotechnical system that requires teams to coordinate to effectively manage both routine and crisis events. Maintaining readiness within this environment is challenging due to the variety of tasks a...

    STTR Phase I 2016 Department of DefenseAir Force
  3. Subspace Tracking and Manifold Learning Based Heterogeneous Data Fusion for Unexpected Event Discovery

    SBC: INTELLIGENT FUSION TECHNOLOGY, INC.            Topic: AF16AT12

    We aim to develop data-driven heterogeneous data fusion approaches for unanticipated event/target detection, which will be more robust and immune to model mismatch problems encountered by model-based approaches. Considering the low intrinsic dimensionality of the sensor data, we propose several data-level fusion approaches based on some state-of-the-art dimensionality reduction techniques. For lin ...

    STTR Phase I 2016 Department of DefenseAir Force
  4. Heterogeneous Data Discovery Using Deep Neural Networks

    SBC: KickView Corporation            Topic: AF16AT12

    Improving feature extraction, event detection, and target classification in multi-sensor systems requires new mathematical methods and processing techniques. In addition, previous research and experience suggests that leveraging sensor data that has not experienced significant dimensionality reduction can preserve subtle features when processed jointly with other relevant data. However, traditiona ...

    STTR Phase I 2016 Department of DefenseAir Force
  5. Development of Adaptive Closure Models for Large Eddy Simulations of Lean Blow-Out Conditions

    SBC: CFD RESEARCH CORPORATION            Topic: AF16AT14

    Next-generation turbulent combustion models must enable accurate prediction of lean blow-out and flashback for complex geometries, fuels and operating conditions relevant to the Air Force. Improved models are needed to better predict kinetically and hydr...

    STTR Phase I 2016 Department of DefenseAir Force
  6. Modeling and Simulation of Lean Blowout in High-Pressure Swirl-Stabilized Combustors

    SBC: METACOMP TECHNOLOGIES INC            Topic: AF16AT14

    The ability of Large-eddy simulation (LES) techniques to accurately predict combustion instabilities and the onset of lean blow-out is not yet firmly established, especially in realistic operating conditions. A number of modeling choices play an importan...

    STTR Phase I 2016 Department of DefenseAir Force
  7. Integrated Adaptive Control with Thermal and Power Management System for Gas Turbine Enginers

    SBC: INTELLIGENT FIBER OPTIC SYSTEMS CORP            Topic: AF16AT16

    Future gas turbine propulsion designs, in addition to incorporating variable geometrical engine features, will require controlling and integrating large power generation/extraction, as well as, managing thermal limits of the components. The engine contro...

    STTR Phase I 2016 Department of DefenseAir Force
  8. Affordable Integrated Circuit Packaging and Assembly for High-Temperature Intelligent Components

    SBC: MICROELECTRONICS RESEARCH DEVELOPMENT CORPORATION            Topic: AF16AT17

    Micro-RDC proposes to demonstrate the feasibility of developing low-cost, low-weight, reliable packaging materials and processes to produce low-power advanced Integrated Circuits (ICs) that can operate continuously at temperatures between -55C and +225...

    STTR Phase I 2016 Department of DefenseAir Force
  9. Increased High-Temperature Reliability for Die Extraction and Reassembly

    SBC: GLOBAL CIRCUIT INNOVATIONS INC            Topic: AF16AT17

    Global Circuit Innovations (GCIs) die extraction and reassembly technology(DER) generated initial interest in and demand by the commercial industry through demonstrating the value of remanufacturing an original integrated circuit (IC) from a plas...

    STTR Phase I 2016 Department of DefenseAir Force
  10. Intelligent and Multiplexable Ultra-High-Temperature Fiber-Optic Pressure Sensors for Robust Distributed Engine Control

    SBC: INTELLIGENT FIBER OPTIC SYSTEMS CORP            Topic: AF16AT18

    Next-generation intelligent engines will operate at higher temperatures for increased efficiency and will migrate from centralized to distributed control. There is critical need for sensors for operation at ultra-high temperatures (3000F). Conven...

    STTR Phase I 2016 Department of DefenseAir Force
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