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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. Human Performance Optimization

    SBC: HVMN Inc.            Topic: SOCOM17C001

    During altitude-induced hypoxia, operator cognitive and physical capacity degrades, compromising individual and team performance. Cognitive degradation is linked to falling brain energy levels, increased reliance on anaerobic energy production and lactate accumulation. Ketones are the evolutionary alternative substrate to glucose for brain metabolic requirements; previous studies demonstrated that ...

    STTR Phase II 2019 Department of DefenseSpecial Operations Command
  2. 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
  3. Data Driven Intent Recognition Framework

    SBC: OTHER LAB, INC.            Topic: NSF13599

    A critical aspect of exoskeleton control that has to date introduced a performance limitation is the ability of the exoskeleton to recognize the intent of the operator so it can apply assistance to their desired motion. This intent recognition effort is typically solved using ad-hoc methods where subject matter experts make design decisions and tune transitions to identify intended maneuvers as re ...

    STTR Phase II 2016 Department of DefenseSpecial Operations Command
  4. Human Performance Optimization

    SBC: REJUVENATE BIO INC            Topic: SOCOM17C001

    Special OperationsForces (SOF)are an integral aspect of the US military. SOF operators are among the most elite and highly qualified individuals in the U.S.military. As such, extraordinary physical and mental demands are placed upon them to excel in extreme environments for extended periods of time. This unrelenting cycle of combat deployments and intense pre-deployment training shortens the funct ...

    STTR Phase II 2019 Department of DefenseSpecial Operations Command
  5. Two-color Infrared Laser Arrays for Scene Projection

    SBC: ATTOLLO ENGINEERING, LLC            Topic: A17AT018

    Current scene projection hardware is challenged to simultaneously meet the requirements for high peak temperature (> 2000K), high resolution (> 1Kx1K), response time < 1 ms, cryogenic and temporally uniform photon flux. MEMS, Resistor arrays, liquid crystals, and photonic crystals all suffer in one or more areas. MEMS suffer from flicker and low dynamic range. Resistor arrays suffer from low frame ...

    STTR Phase II 2019 Department of DefenseAir Force
  6. Scalable technology for growth of high quality single crystal gallium nitride

    SBC: Soraa            Topic: AF08BT20

    We propose to demonstrate and advance several key aspects of our novel, scalable ammonothermal technology for growth of high quality single crystal gallium nitride. Specifically, we propose to demonstrate a high growth rate and high crystalline quality, to design and analyze a pilot-scale reactor, and to construct and validate a quantitative model to describe the fluid dynamics of the growth envi ...

    STTR Phase II 2010 Department of DefenseAir Force
  7. Orthogonal Chip Based Electronic Sensors for Chemical Agents

    SBC: SEACOAST SCIENCE, INC.            Topic: AF08T015

    Recent years have seen a shift in threats to US national security. Today increasing focus for national security is management of terrorist activities. Deliberately exposing a civilian population to chemicals and explosives to cause harm represents a looming terrorist threat. Early detection and identification is a difficult but essential element to minimizing the threat. The Seacoast Science/U ...

    STTR Phase II 2010 Department of DefenseAir Force
  8. Orthogonal Chip Based Electronic Sensors for Chemical Agents

    SBC: SEACOAST SCIENCE, INC.            Topic: AF08T015

    Recent years have seen a shift in threats to US national security. Today increasing focus for national security is management of terrorist activities. Deliberately exposing a civilian population to chemicals and explosives to cause harm represents a looming terrorist threat. Early detection and identification is a difficult but essential element to minimizing the threat. The Seacoast Science/U ...

    STTR Phase II 2010 Department of DefenseAir Force
  9. High frequency (HF) direction-finding (DF) system based on an array of high-Tc superconducting quantum interference devices (SQUIDs)

    SBC: Out of the Fog Research LLC            Topic: AF10BT40

    ABSTRACT: In Phase II, we will fabricate a SQUID array antenna. We will develop cryopackaging and control electronics for these devices. We integrate the device onto a cryocooler and build a laboratory prototype. We will then have all of the building blocks to build a fieldable prototype in Phase III. BENEFIT: Military Application: Microwave Communication Systems for ISR. Commercial Application ...

    STTR Phase II 2013 Department of DefenseAir Force
  10. Small Sample Size Semi-Supervised Feature Clustering for Detection and Classification of Objects and Activities in Still and Motion Multi-spectral Imagery

    SBC: TOYON RESEARCH CORPORATION            Topic: AF15AT35

    Toyon Research Corp. and the Penn State Univ. propose research and development of innovative algorithms for classifying objects and activities observed in high-dimensional data extracted from multi-sensor motion imagery. The proposed algorithms include novel feature clustering techniques to enable effective characterization of intra-class and inter-class appearance variations in datasets containin ...

    STTR Phase II 2016 Department of DefenseAir Force
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