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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. Biocatalytic production of precursors to lutein and zeaxanthin to address age related macular degeneration

    SBC: EscaZyme Biochemicals, LLC            Topic: N

    Project Summary Atrophic dry age related macular degeneration AMD is the leading cause of severe loss of vision for those over age Dietary supplements containing lutein and zeaxanthin are recommended by the NEI for those at risk of late AMD There has been a corresponding growth in demand for these two xanthophylls Lutein and zeaxanthin are currently sourced from marigolds grown mostl ...

    STTR Phase I 2017 Department of Health and Human ServicesNational Institutes of Health
  2. Bayesian Inference of Spacecraft Geometry and Pose

    SBC: VISION SYSTEMS INC            Topic: AF17AT007

    Space platforms are complex dynamical systems and there are many reasons to model them from ground telescope imagery as well as from space-based sensor platforms. One key motivation is to determine the operational state and configuration of the vehicle. Key questions such as did the solar panels fail to deploy, did the object begin to tumble unexpectedly may be addressed by a sufficiently detaile ...

    STTR Phase I 2017 Department of DefenseAir Force
  3. Automated 3D Reconstruction and Pose Estimation of Space Objects Using Ground Based Telescope Imagery

    SBC: STELLAR SCIENCE LTD. CO.            Topic: AF17AT007

    Stellar Science, in collaboration with the University of Maryland, proposes to develop algorithms to demonstrate the feasibility of constructing three-dimensional (3D) models of satellites using ground-based imagery on a standard PC in under 15 minutes. The Phase I effort will address the challenge of registering two-dimensional (2D) images of satellites where traditional feature matchers frequent ...

    STTR Phase I 2017 Department of DefenseAir Force
  4. Adaptive and Smart Materials for Advanced Manufacturing Methods

    SBC: BLUECOM SYSTEMS & CONSULTING LLC            Topic: AF17AT018

    The design ofDeployable Reconfigurable Pixelated Antennas (DERPAs) that can operate at different frequencies,with different radiation patterns, and achieve polarization diversity is proposed.The solution proposed, based on optically pixelated silicon or GaAs surfaces, can be used as reflective surfaces for reconfigurable reflect arrays or as reconfigurable active and modular antennas. The optical ...

    STTR Phase I 2017 Department of DefenseAir Force
  5. Tool to Predict High-Power Electromagnetic Effects on Mobile Targets

    SBC: XL SCIENTIFIC LLC            Topic: AF15AT05

    With computer-based systems becoming ubiquitous in all aspects of civilian and military hardware, weaponized high power microwave (HPM) sources pose a danger to the U.S. defense, logistic, and economic infrastructure. Of particular concern is the reliability and survivability of U.S. military aerial assets in the presence of intentional electromagnetic interference (IEMI) from HPM sources.A compre ...

    STTR Phase II 2017 Department of DefenseAir Force
  6. Prediction and Measurement of the Soot Build-Up in Film-Cooled Rocket Engines

    SBC: SIERRA ENGINEERING, INC.            Topic: AF15AT21

    This Phase II STTR effort is focused on generating the data necessary to identify the phenomenology that produces carbon deposition within kerosene film cooled rocket engines.This data is essential to guide the model development and validation process.Program outputs will be both data and a physics-based model for carbon deposition.

    STTR Phase II 2017 Department of DefenseAir Force
  7. Unified sensor for atmospheric turbulence and refractivity characterization

    SBC: MZA ASSOCIATES CORPORATION            Topic: AF17AT008

    MZA partnered with the Michigan Technological University (MTU) proposes to develop an atmospheric characterization sensor which unifies the measurement of atmospheric turbulence and refractivity through target-in-the-loop measurements, requiring no augmentation of the target or equipment on the other end of the path. We image multi-wavelength target illumination and remove atmospheric blurring us ...

    STTR Phase I 2017 Department of DefenseAir Force
  8. Progressively Expanded Neural Network (PENnet) Tracker

    SBC: MZA ASSOCIATES CORPORATION            Topic: AF17AT027

    We propose to develop a multi-layer tracking framework that integrates feature-based, motion-based, and deep-learning-based tracking. Our proposal consist of two development tasks and two research exploration efforts. Our team proposes to develop the Progressively Expanded Neural Network (PENnet) Tracker, a deep learning based tracker capable of on-the-go training of the target. The PENnet Trac ...

    STTR Phase I 2017 Department of DefenseAir Force
  9. Electromagnetic Simulation Software for Strongly Coupled Plasmas

    SBC: VOSS SCIENTIFIC LLC            Topic: AF11BT23

    ABSTRACT: Strong coupling in ionized plasmas occurs when inter-particle interactions result in correlation energies that are comparable to the mean kinetic energy of the thermal motion of individual particles. Strongly coupled plasmas are known to be present in a number of physical systems including ultra-cold plasmas created in the laboratory and present in the ionosphere, explosive gases associ ...

    STTR Phase II 2014 Department of DefenseAir Force
  10. Transdermal H2S Sensing Device for Monitoring Peripheral Artery Disease

    SBC: EXHALIX LLC            Topic: NHLBI

    Project Summary/Abstract The proposed effort addresses an unmet need for early diagnosis of peripheral artery disease (PAD). PAD is a disorder of vascular circulation that affects more than 8 million Americans, most of whom are unaware of its existence, risks, and threats. PAD is caused primarily by plaque-induced atherosclerosis and in some instances by blood vessel inflammation, stenosis, and in ...

    STTR Phase I 2014 Department of Health and Human ServicesNational Institutes of Health
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