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Award Data

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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. Adaptive Markov Inference Game Optimization (AMIGO) for Rapid Discovery of Evasive Satellite Behaviors

    SBC: INTELLIGENT FUSION TECHNOLOGY, INC.            Topic: AF17CT02

    Space superiority requires space protection and space situational awareness (SSA), which rely on rapid and accurate space object behavioral and operational intent discovery. The presence of adversaries in addition to real-time and hidden information constraints greatly complicates the decision-making process in controlling both ground-based and space-based Air Force surveillance assets. The focus ...

    STTR Phase II 2019 Department of DefenseAir Force
  2. Rapid Discovery of Evasive Satellite Behaviors

    SBC: Data Fusion & Neural Networks, LLC            Topic: AF17CT02

    The problem addressed in this effort is to automatically learn historical ephemeris space catalog time, position, and velocity entity track update error uncertainties (i.e., without track error covariances) and to automatically (e.g., without expert event labeling) produce: – unmodeled non-gravitational space catalog update flags – abnormal unmodeled catalog update flags with abnorma ...

    STTR Phase II 2019 Department of DefenseAir Force
  3. Ultrahigh-Bandwidth Robust Performance Diagnostics for Rotating Detonation Engines

    SBC: SPECTRAL ENERGIES LLC            Topic: AF19AT011

    Spectral Energies proposes to design a multisensory diagnostic suite for measurements within elevated-pressure RDEs. This sensor will utilize tunable-laser absorption spectroscopy to measure temperature, pressure and H2O concentrations in the annulus of a rocket-RDE and background-oriented schlieren imaging system for flow density gradient imaging to provide time resolved information about the sho ...

    STTR Phase I 2019 Department of DefenseAir Force
  4. Autonomous Decision Making via Hierarchical Brain Emulation-- 19-009

    SBC: METRON, INCORPORATED            Topic: AF19AT009

    The objective of this project is to develop human intelligence-inspired algorithms that exploit multi-modal sources of low and high quality data to achieve a series of objectives such as detection, localization, tracking, and classification. A Bayesian model-based hierarchical adaptive decision making (HADM) algorithm will be developed which includes multiple levels of decision making organized in ...

    STTR Phase I 2019 Department of DefenseAir Force
  5. Volume Digital Holographic Wavefront Sensor Phase 2

    SBC: NUTRONICS, INC.            Topic: AF18AT006

    Through the execution of our Phase 1 effort, Nutronics, Inc. and Montana State University developed an improved means to optimize the Pellizzarri cost functional for coherent imaging using digital holography. Our algorithm developed during the Phase 1 effort accelerates convergence times by a factor of 20-40 for the majority of scenarios evaluated. Our proposed Phase 2 effort has a two-fold focus: ...

    STTR Phase II 2019 Department of DefenseAir Force
  6. Open Call for Science and Technology Created by Early-Stage (e.g. University) Teams

    SBC: FLIGHTPROFILER, LLC            Topic: AF19BT001

    RADAR (and similar direct or observational meteorological measuring equipment) has limitations (inability to measure low vis conditions, line-of-site, limited vertical (z-axis), expensive/heavy equipment is required, etc.). To solve these limitations, a Purdue University team (launched via a SBC called FlightProfiler) has developed a technology that delivers a computer generated X-Y-Z environmenta ...

    STTR Phase I 2019 Department of DefenseAir Force
  7. Open Call for Science and Technology Created by Early-Stage (e.g. University) Teams

    SBC: Semicyber, LLC            Topic: AF19BT001

    There are numerous ongoing research and development efforts on SansEC technology for applications to enhance warfighter and commercial technologies. Two major SansEC applications of interest are (1) the detection of damage on composite airframes, (2) the measuring of the shape of morphing airframes actively in-flight, and subsequently feeding this information back to a flight control system in rea ...

    STTR Phase I 2019 Department of DefenseAir Force
  8. Terahertz cyber security testing using artificial intelligence (FA-002)

    SBC: Electronics of the future, Inc..            Topic: AF19BT001

    The focus of this proposal is FA-002 - artificial intelligence (AI), which will be used for the hardware cyber security. AI will link the THz and sub-THz responses at the pins to the defects and deviations from design of the integrated circuits under test. An increasing complexity of digital and mixed-signal systems makes establishing the authenticity of a chip to be a key problem. New rapid, inex ...

    STTR Phase I 2019 Department of DefenseAir Force
  9. Power Electronics Thermal Interface (PETI) with Conductive Diamond Plating

    SBC: Global Circuit Innovations, Inc.            Topic: AF19BT001

    A growing number of electronic applications within the Air Force, such as devices for power conditioning and distribution, RF power amplification, and high power lasers have been identified for increased heat transfer requirements to maintain operational temperatures at acceptable levels while increasing the performance through higher power. However, this same target research that requires increas ...

    STTR Phase I 2019 Department of DefenseAir Force
  10. Open Call for Science and Technology Created by Early-Stage (e.g. University) Teams

    SBC: Dynamic Dimension Technologies, LLC            Topic: AF19BT001

    This proposal addresses the Department of Defense (DoD) AI Strategy focus area “streamlining business processes.� Dynamic Dimension Technologies (DDT) proposes the use of AI and blockchain technology to automate and increase the security of Air Force base (AFB) security-gate, restricted area, and facility access processes. AI can automate AFB gate access to regular visitors (employees ...

    STTR Phase I 2019 Department of DefenseAir Force
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