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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. Balloon-Based Disturbance Measurements in the Upper Atmosphere

    SBC: Tao Of Systems Integration Inc            Topic: AF16AT02

    For prediction of hypersonic aerothermodynamics, knowledge of the relevant disturbance levels is required to determine transition locations in flight at the altitudes of interest. Tao Systems and University of Maryland (UMD) propose to develop a flight platform and measurement system capable of acquiring pressure, temperature, density, velocity fluctuations, and particulates using a miniaturized, ...

    STTR Phase II 2018 Department of DefenseAir Force
  2. Highly-Resolved Wall-Shear-Stress Measurement in High Speed Flows

    SBC: INTERDISCIPLINARY CONSULTING CORP            Topic: AF14AT08

    The Interdisciplinary Consulting Corporation (IC2), in partnership with the University of Florida (UF) and Innoveering, LLC, proposes to develop an innovative precision micro-scale surface-mountable sensor for measuring local wall shear stress in [a] high speed flow field (approximately 0.8 < M < 5) to enable characterization of critical boundary layer flows in ground and flight tests in response ...

    STTR Phase II 2016 Department of DefenseAir Force
  3. 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
  4. Computation of Structural Energetic Materials Under Shock Loading: a Meso-Scale Framework

    SBC: STREAMLINE NUMERICS, INC.            Topic: AF16AT23

    Structural energetic materials or multifunctional energetic materials offer the ability to combine the high energy release rates of traditionalhigh explosives with structural strength. When successfully formulated therefore they can lead to light-weight, high-performance and hithertoinaccessible designs of munitions. The key feature of structural energetic materials (SEMs), perhaps even more so th ...

    STTR Phase I 2016 Department of DefenseAir Force
  5. Securing the Internet of Things in Tactical Environments

    SBC: Kalos Technologies, Inc.            Topic: AF16AT10

    Kalos Technologies Inc. (Kalos) and Temple University submit together this STTR Phase I proposal entitled Securing the Internet of Things in Tactical Environments to the Air Force in response to solicitation topic AF16-AT10: Securing the Internet of Things. It is the Kalos and Temples effort in the development of hardware-based security, embedded system security, secure communication, and secure I ...

    STTR Phase I 2016 Department of DefenseAir Force
  6. Topological Signal Analysis for Multi-Modal Data Analysis

    SBC: GEOMETRIC DATA ANALYTICS INC.            Topic: AF16AT12

    Extracting information from different modalities of data is one of the greatest challenges in this era of exponential data growth, as well as one of the most promising horizons for the development of new capabilities for military, commercial, and scientific applications. Virtually all areas of defense, industry, and science are becoming increasingly dependent on the ability to analyze multimodal d ...

    STTR Phase I 2016 Department of DefenseAir Force
  7. Bayesian Fusion of Heterogeneous Data for Unanticipated Event Detection

    SBC: METRON INCORPORATED            Topic: AF16AT12

    Metron, Inc. and Portland State University propose to design, develop, test and demonstrate algorithms that fuse heterogeneous sensor data at an information theoretic level and process these data as detection and tracking algorithms that can identify when new events or targets emerge that are not currently modeled. These algorithms have the potential to provide dramatic improvements in the capabil ...

    STTR Phase I 2016 Department of DefenseAir Force
  8. 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
  9. Customizing Security for Diverse IoT Endpoints

    SBC: Samraksh Company, The            Topic: AF16AT10

    Endpoints in the Internet of Things (IoT) vary considerably in their hardware-software architecture and their functional capability. The IoT marketplace is unlikely to converge on a single or a few dominant endpoint platforms in the near term and potentially even long term future.This creates a major problem and an opportunity for securing IoT endpoints that are being increasingly integrated in cr ...

    STTR Phase I 2016 Department of DefenseAir Force
  10. 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
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