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The Award database is continually updated throughout the year. As a result, data for FY23 is not expected to be complete until September, 2024.

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. Unified sensor for atmospheric turbulence and refractivity characterization

    SBC: G. A. Tyler Associates, Inc.            Topic: AF17AT008

    In this effort, tOSC and the University of New Mexico COSMIAC (Configurable Space Microsystems Innovation Applications Center) will combine to generate a Target-in-the-Loop (TIL) system concept that can simultaneously measure the strength of atmospheric turbulence and scintillation, as well as the refractivity occurring at the measurement time. For this system concept, we will leverage existing tO ...

    STTR Phase II 2019 Department of DefenseAir Force
  2. Use of Highly Porous Polymer Beads to Remove Anti-A and Anti-B Antibodies from Plasma for Transfusion

    SBC: CYTOSORBENTS MEDICAL INC            Topic: DHP15B001

    The ready availability of universal donor plasma to rapidly treat massively bleeding hospital trauma patients and warfighters with combat casualties is a key element of current recommendations for trauma resuscitation, yet universal AB donor plasma is rel

    STTR Phase I 2016 Department of DefenseDefense Health Agency
  3. Using the Conditional Moment Closure Method to Assess the Effects of Turbulence Chemical Kinetics

    SBC: REACTION SYSTEMS, INC.            Topic: A16AT001

    The ability to accurately design and predict the performance of combustion-based machinery like gas turbine engines is important in improving their performance, increasing their fuel economy, lowering operating costs, and decreasing pollutant emissions. Almost all of the flows are turbulent in industrial combustion applications, therefore understanding the interaction between turbulence and combu ...

    STTR Phase I 2016 Department of DefenseArmy
  4. Vacuum Integrated System for Ion Trapping

    SBC: COLDQUANTA, INC.            Topic: A15AT009

    We propose to develop a compact, integrated ion trap quantum system for quantum sensor, timekeeping, and computing applications. To do so, we leverage ColdQuantas expertise in miniature ultra-high vacuum (UHV) and atom chip technology and Duke Universitys expertise in microfabricated surface ion traps and quantum information processing experiments. We will produce a manufacturable, commercializa ...

    STTR Phase II 2016 Department of DefenseArmy
  5. Validation Experiments to Measure Transient Aerothermoelastic Response of a Curved Panel to Hypersonic Flows

    SBC: METROLASER, INCORPORATED            Topic: AF16AT24

    An experiment to obtain validation data on the transient aerothermoelastic response of a curved panel in hypersonic flows will be designed and evaluated for its feasibility. Significant challenges must be overcome for a successful experimental campaign i...

    STTR Phase I 2016 Department of DefenseAir Force
  6. Verification and Validation of Physics Based DPAL Models

    SBC: AEROSOFT INC            Topic: MDA12T008

    AeroSoft, with the USAFA Laser and Optics Research Center proposes to create an extensive and thorough Verification and Validation (V & V) Program for anchoring physics based modeling software for static and flowing DPAL systems. During Phase I, a review of existing experimental programs will made and used for preliminary validation with the GASP software suite. Once deficiencies in the current e ...

    STTR Phase I 2013 Department of DefenseMissile Defense Agency
  7. Vibration imaging for the characterization of extended, non-cooperative targets

    SBC: Guidestar Optical Systems, Inc.            Topic: AF19AT006

    Locating objects that vibrate is a way to discern potential threats and locate targets. However, current vibrometry technology typically measures only the global vibration of target and cannot create an extended spatial measurement of the vibration profile of the target. These solutions cannot identify what the target is, nor can they locate potential weak spots on the target, because they lack sp ...

    STTR Phase I 2019 Department of DefenseAir Force
  8. Virtual Reality for Multi-INT Deep Learning (VR-MDL)

    SBC: Information Systems Laboratories, Inc.            Topic: AF19AT010

    Recent advances and successes of deep learning neural networks (DLNN) techniques and architectures have been well publicized over the last several years. Voluminous, high-quality and annotated training data, or trial and error in a realistic environment, is required to achieve the promised performance potential of DLNNs. Unfortunately for DoD and/or Intelligence Community (IC) applications of mult ...

    STTR Phase I 2019 Department of DefenseAir Force
  9. Visible Electro-Optical (EO) System and LIDAR Fusion for Low Cost Perception by Autonomous Ground Vehicles

    SBC: TOYON RESEARCH CORPORATION            Topic: N11AT020

    The Toyon-MST team proposes to perform research and development of a system which fuses multi-spectral EO and 3D data collected with a low-cost LIDAR to enable improved perception for unmanned ground vehicles (UGVs). The scope of the proposed work includes development of algorithms and software, and development, implementation, integration, testing, and delivery of a prototype, to perform EO-LIDAR ...

    STTR Phase II 2013 Department of DefenseNavy
  10. Visual Relative Navigation via Intelligent Ephemeral Relationships (VRNIER)

    SBC: TOYON RESEARCH CORPORATION            Topic: ST18C006

    As unmanned aircraft systems (UAS) become more prevalent there is an increasing desire to automate UAS navigation and control. To enable future UASs to perform a wider variety of missions, the they must be able to complete autonomous relative navigation to accomplish missions. Current technologies rely heavily on GPS measurements, which are undesirable since GPS signals may be unavailable in many ...

    STTR Phase I 2019 Department of DefenseDefense Advanced Research Projects Agency
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