You are here

Award Data

For best search results, use the search terms first and then apply the filters
Reset

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. Satellite Constellations for Entanglement-Based Time Distribution

    SBC: Xairos Systems, Inc.            Topic: AF20AT001

    This project examines the feasibility of using a space-based quantum network for secure and accurate time transfer. The design and analysis of a space based quantum network that can support time transfer is expected to show that a relatively small modification of the current designs for quantum payloads could provide large benefits in the form of a highly accurate, non-spoofable time transfer inf ...

    STTR Phase I 2020 Department of DefenseAir Force
  2. Compact, high-performance optical clockwork for quantum timing

    SBC: VESCENT PHOTONICS LLC            Topic: AF20AT001

    Vescent Photonics, LLC (Vescent) in collaboration with MIT Lincoln Laboratory (MIT-LL) proposes to develop a compact, low-phase-noise optical frequency comb (OFC) stabilized to a novel, fiber-based, ultra-narrow linewidth reference laser that will meet the Air Force’s needs for a high performance, fieldable clock. OFCs are a core tool of quantum timing, enabling a range of new technologies criti ...

    STTR Phase I 2020 Department of DefenseAir Force
  3. Robust and portable optical oscillators with 10^-15-level stability

    SBC: STABLE LASER SYSTEMS INC            Topic: AF20AT001

    We propose to develop optical oscillators with instabilities in the 10^-15 decade suitable for a range of out-of-the-laboratory applications, including remotely located stations, moving vehicles and space platforms. Cavity-stabilized optical oscillators provide orders-of-magnitude better stability than current rf and microwave oscillators, and are essential for optical atomic clocks. However, they ...

    STTR Phase I 2020 Department of DefenseAir Force
  4. Robust and low-SWaP Laser Sources for Optical Atomic Clocks

    SBC: STABLE LASER SYSTEMS INC            Topic: AF20AT001

    This proposal will develop a monolithic, robust, low size, weight and power, 1 GHz repetition rate femtosecond oscillator and frequency comb for microwave generation from optical atomic clocks. The oscillator has been tested in the laboratory, being constructed using prototype bonding methods. The results have been exceptional with low phase noise, long lock times with low bandwidth control loo ...

    STTR Phase I 2020 Department of DefenseAir Force
  5. Functional Engineering of a Photosynthetic Desalination Pump Circuit

    SBC: Phytodetectors, Inc.            Topic: G

    Phytodetectors will design and engineer a synthetic biological pump circuit to increase the volume of water produced via photosynthetic desalination. This project builds off previous technology designed by Phytodetectors: a mangrove-inspired ultra-filter that allows plants to purify salt water as well as secrete water with properties comparable to bottled water. The partnership seeks to demonstrat ...

    STTR Phase I 2020 Department of EnergyARPA-E
  6. Fully Adaptive Radar Resource Allocation-- 19-061

    SBC: METRON INCORPORATED            Topic: AF19BT003

    The goal of the proposed effort is to develop a fully adaptive radar resource allocation framework for concurrent detection and tracking of targets. While the methods we will develop are general, we will specialize our analysis to ground targets by including clutter and using kinematic models relevant to ground targets. In Phase I, we will develop both task-driven and information-driven metrics in ...

    STTR Phase I 2020 Department of DefenseAir Force
  7. Nonlinear Phased Array System for Detection/Imaging of fatigue damage precursors and assessment of remaining useful life

    SBC: Metallurgical Acoustic Research Solutions, LLC            Topic: AF20ATCSO1

    Despite decades of experimental and theoretical studies cyclic fatigue failure remains one of the most critical challenges for engineering as it can occur without any indication of impending failure. More than half of mechanical in service failures are due to cyclic fatigue resulting in unanticipated and significant costs. Metallurgical Acoustic Research Solutions, LLC (MARS, LLC) in collaboration ...

    STTR Phase I 2020 Department of DefenseAir Force
  8. Laboratory for Enhanced Space Data Analytics (LESDA)

    SBC: York Space Systems LLC            Topic: AF20ATCSO1

    York Space Systems and Metropolitan State University of Denver collaborate to bring the latest research in image processing and machine learning to significantly improve the GSD of low-cost space-based Earth observation.

    STTR Phase I 2020 Department of DefenseAir Force
  9. Machine Learning of Part Variability for Predictive Maintenance

    SBC: EXPERIMENTAL DESIGN & ANALYSIS SOLUTIONS, INC.            Topic: AF20ATCSO1

    Extensive testing at substantial cost is a major part of military propulsion development programs. These programs involve numerous component and engine tests aimed at producing safe and reliable engines. Despite these efforts, engines still experience unexpected failures. Geometric variability of parts within design tolerances is a well-known source of uncertainty in overall reliability. USAF sust ...

    STTR Phase I 2020 Department of DefenseAir Force
  10. Novel Image Segmentation Methods for Missile Attitude

    SBC: UHV TECHNOLOGIES, INC.            Topic: AF19BT005

    Missile attitude in flight can be difficult to determine from ground-based images due to image resolution, lighting, object occlusion, and poor contrast. To address the need, UHV and UTARI propose a fusion based approach of 2 well proven methods to solve this problem. First, UHV Technologies will implement their existing innovative and state of the art machine learning methods for image segmentati ...

    STTR Phase I 2020 Department of DefenseAir Force
US Flag An Official Website of the United States Government