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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. Open Standard for Display Agnostic 3D Streaming (DA3DS)

    SBC: Third Dimension Technologies LLC            Topic: AF16AT07

    The Air Force has identified a need for the creation of a common streaming model for 3D data that is agnostic to the display technology. To address this need, Third Dimension Technologies (TDT) and Oak Ridge National Laboratory (ORNL) propose to form a c...

    STTR Phase I 2016 Department of DefenseAir Force
  2. 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
  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. 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
  7. 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
  8. EX-SCAN: Autonomous Inspection System for Aircraft Surface Coatings

    SBC: Intelligent Automation, Inc.            Topic: AF14AT09

    Current methods for inspecting the external surfaces of low-observable (LO) aircraft are time consuming and error prone. Technology that can reduce inspection times and minimize human error will benefit the Air Force by increasing assessment reliability and aircraft availability while reducing maintenance costs. To address this need, Intelligent Automation (IAI) and Carnegie Mellon University (CMU ...

    STTR Phase II 2016 Department of DefenseAir Force
  9. DREAMIT- Design, Reconfigure and Evaluate Autonomous Models in Training

    SBC: TIER 1 PERFORMANCE SOLUTIONS LLC            Topic: AF15AT14

    Our Phase I work focused on improving modeling and simulations so that the impact of autonomous systems in the battlespace could be better understood. As we have trained our attention on Phase II, it has become increasingly clear that the work we are doing to improve the modeling and simulation of autonomous systems also provides significant leverage for the development of the intelligent behavior ...

    STTR Phase II 2016 Department of DefenseAir Force
  10. Reverberation Mitigation of Speech

    SBC: MINERVA SYSTEMS & TECHNOLOGIES LLC            Topic: AF15AT17

    Automatic speech recognition (ASR) technology is in wide use today and has been successfully integrated into a number of applications. Although there are also many potential applications for automatic speaker identification (SID), SID accuracy rates are generally not sufficient for widespread use in practical applications. For high accuracy ASR and SID, the microphone must be located near the talk ...

    STTR Phase II 2016 Department of DefenseAir Force
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