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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. Reverberation Mitigation of Speech

    SBC: IN-DEPTH ENGINEERING CORPORATION            Topic: AF15AT17

    Speech data corrupted by reverberation, especially in combination with noise, has a drastically negative effect on the performance of speaker identification algorithms. Current approaches to the removal of reverb and noise rely on specific knowledge of room characteristics causing the reverb.The team of In-Depth Engineering and the University of Maryland propose to apply an innovative, generalized ...

    STTR Phase II 2016 Department of DefenseAir Force
  2. MHz-rate Nonlinear Spectroscopy and Imaging Platform for Transient and Nonequilibrium Flows

    SBC: SPECTRAL ENERGIES LLC            Topic: AF15AT20

    The goal of the proposed work is to demonstrate 100 kHz to MHz rate nonlinear spectroscopy for measurements of molecular energy distributions, energy transfer, major species, and temperature in transient combusting and nonequilibrium flows. This will be accomplished, in part, by extending burst-mode laser technology to the fs/ps regime for three-orders of magnitude higher probe-pulse energy at MHz ...

    STTR Phase II 2016 Department of DefenseAir Force
  3. Low-Latency Embedded Vision Processor (LLEVS)

    SBC: PERCEPTIVE INNOVATIONS, INC.            Topic: AF15AT13

    High-performance low-latency image processing is needed in next-generation DoD vision systems. In LLEVS Phase II, we bring low-latency digital imaging and future fusion applications to the warfighter, in a scalable small-SWaP product footprint leveraging COTS technology.We have a very detailed LLEVS FPGA design resulting from our Phase I efforts. We understand the entire critical path of the desig ...

    STTR Phase II 2016 Department of DefenseAir Force
  4. Modeling and Simulation for Design, Development, Testing and Evaluation of Autonomous Multi-Agent Models

    SBC: EDUWORKS CORPORATION            Topic: AF15AT14

    U.S. forces are benefiting from automation systems of unprecedented sophistication, empowered by advances in artificial intelligence (AI) and human-systems interaction. In air combat operations, onboard intelligent assistants monitor the aircraft, interpret and carry out commands, and report aircraft and system status, mission progress, threats and alerts. Because pilots and agents are part of a n ...

    STTR Phase II 2016 Department of DefenseAir Force
  5. Wave-Optic Propagation Computation Enabled by Machine Learning Algorithms (WOPA)

    SBC: Luminit LLC            Topic: AF18BT004

    To address the U.S. Air Force need for Developing innovative wave-optics Propagation methods to model laser systems that are faster, efficient and more accurate, Luminit, LLC, and University of Southern California (USC) propose to develop Wave-Optic Propagation Computation Enabled by Machine Learning Algorithms (WOPA). The proposed algorithms will be based on cutting off redundant frequencies upon ...

    STTR Phase I 2019 Department of DefenseAir Force
  6. Impact of Hypersonic Flight Environment on Electro-Optic/Infrared (EO/IR) Sensors

    SBC: Analysis and Applications Associates, Inc.            Topic: AF15AT40

    EO/IR sensors can provide high spatial resolution images using multiple frequency bands ranging from the visible to mid-wave IR. EO/IR sensors have been very successful for terrain imaging from subsonic aircraft and from satellites. Imaging using these platforms has been studied extensively. EO/IR sensors can provide high spatial resolution images using multiple frequency bands ranging from the v ...

    STTR Phase II 2016 Department of DefenseAir Force
  7. Lasers Based on Gas Filled Hollow-Core Photonic Crystal Fibers

    SBC: IRFLEX CORP            Topic: AF18BT015

    Current continuous wave (CW) and pulse mid-wave infrared (MWIR) lasers have design and performance limitations that constrain their usability in some critical Air Force applications. There is an important need to create a new class of MWIR laser sources with less drawbacks and higher pulse energies and CW powers. The proposed work will demonstrate the technical feasibility of an innovative MWIR la ...

    STTR Phase I 2019 Department of DefenseAir Force
  8. Lasers Based on Gas or Liquid Filled Hollow-Core Photonic Crystal Fibers

    SBC: SA PHOTONICS, LLC            Topic: AF18BT015

    We propose a compact, monolithic, power scalable, hollow core fiber-gas laser emitting in the atmospheric transmission region in the mid-IR. The proposed optically pumped fiber-gas laser system is efficient, has a small footprint as well has a broad spectral coverage in the mid-IR. Due to the unique approach employed, the proposed technology allows generation of mid-IR output with varying pulse re ...

    STTR Phase I 2019 Department of DefenseAir Force
  9. Environmentally-Compliant Kinetic Metallization Coating Materials for Corrosion and Wear Protection of Military Aircraft and Weapon Systems

    SBC: INNOVATIVE TECHNOLOGY INC            Topic: AF15AT31

    Coating materials and coating methods used to protect U.S. military aircraft and weapon systems from corrosion and wear are in need of environmentally benign alternatives in order to keep up with dynamic regulations associated with environment, safety, and occupational health. Thus, the Air Force is supporting research to develop alternatives to the dangerous materials identified on the OSD Emergi ...

    STTR Phase II 2016 Department of DefenseAir Force
  10. Small Sample Size Semi-Supervised Feature Clustering for Detection and Classification of Objects and Activities in Still and Motion Multi-spectral Imagery

    SBC: TOYON RESEARCH CORPORATION            Topic: AF15AT35

    Toyon Research Corp. and the Penn State Univ. propose research and development of innovative algorithms for classifying objects and activities observed in high-dimensional data extracted from multi-sensor motion imagery. The proposed algorithms include novel feature clustering techniques to enable effective characterization of intra-class and inter-class appearance variations in datasets containin ...

    STTR Phase II 2016 Department of DefenseAir Force
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