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Award Data

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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. Operating System Mechanisms for Many-Core Systems

    SBC: SECURBORATION, INC.            Topic: OSD11T04

    In the Phase I portion of this STTR, Securboration and renowned multicore expert Dr. Frank Mueller from North Carolina State University designed, developed, and benchmarked the proof-of-concept Pico-kernel Adaptive and Scalable Operating-system (PICASO) for many-core architectures. The Securboration Team took a scientific, experimentation-based approach to identifying and resolving shortcomings wi ...

    STTR Phase II 2013 Department of DefenseAir Force
  2. Open Call for Science and Technology Created by Early-Stage (e.g. University) Teams

    SBC: FLIGHTPROFILER, LLC            Topic: AF19BT001

    RADAR (and similar direct or observational meteorological measuring equipment) has limitations (inability to measure low vis conditions, line-of-site, limited vertical (z-axis), expensive/heavy equipment is required, etc.). To solve these limitations, a Purdue University team (launched via a SBC called FlightProfiler) has developed a technology that delivers a computer generated X-Y-Z environmenta ...

    STTR Phase I 2019 Department of DefenseAir Force
  3. Open Call for Science and Technology Created by Early-Stage (e.g. University) Teams

    SBC: OmniScience LLC            Topic: AF19BT001

    This proposed Phase I STTR effort will be a collaboration between OmniScience LLC and the University of Colorado Colorado Springs (UCCS) Vision and Security Technology (VAST) Lab. The primary objective of this Phase I effort is to demonstrate feasibility of a brain computer interface (BCI) controller for augmented/virtual reality (AR/VR) and conventional screen displays, referred to herein as an A ...

    STTR Phase I 2019 Department of DefenseAir Force
  4. Open Call for Science and Technology Created by Early-Stage (e.g. University) Teams

    SBC: GHOSTWAVE INC            Topic: AF19BT001

    The proliferation and capabilities of hobbyist off-the-shelf drone systems poses a direct and immediate threat to U.S. national security. This proposal is a cUAS system to track unwanted UAS in the vicinity using stealthy radars that are AJ. The project will start with an understanding of customer needs and how we can adapt our proposal to best meet the needs of the Air Force.

    STTR Phase I 2019 Department of DefenseAir Force
  5. Open Call for Science and Technology Created by Early-Stage (e.g. University) Teams

    SBC: KAIROS RESEARCH LLC            Topic: AF19BT001

    Assess the feasibility of a novel technology which automatically generates human-understandable explanations of an artificial intelligence (AI) algorithm’s decisions – for example, a deep neural network’s (DNN’s) classification decisions. Our technology, called EMERALD (Explainable Machine Reasoning through the Application of Linked Data), is designed to improve trust a ...

    STTR Phase I 2019 Department of DefenseAir Force
  6. On Demand Energy Activated Liquid Decontaminants and Cleaning Solutions

    SBC: TDA RESEARCH, INC.            Topic: A12aT005

    Decontamination of chemical and biological threats demands a very reactive solution. It is ideal to generate the decontaminants on-site: the activated decontaminant is highly reactive and quickly destroys chemical and biological warfare agents; prior to activation the ingredients can be safely stored for years, shipped, and handled. TDA's electrochemical decontamination (eClO2) technology u ...

    STTR Phase II 2013 Department of DefenseArmy
  7. On Demand Energy Activated Liquid Decontaminants and Cleaning Solutions

    SBC: TDA RESEARCH, INC.            Topic: A12AT005

    On-site activated decontaminants will revolutionize chemical and biological decon because the activated solution is produced on demand, without the limitations of traditional pre-made mixtures. TDAs system uses electrical activation to convert battery power into reactive chemicals that quickly destroy chemical and biological warfare agents. Prior to activation, the decontaminant mixture can be saf ...

    STTR Phase II 2018 Department of DefenseArmy
  8. On-Chip Passive Phase-Locking for High Coherent Power, Mid-IR Quantum Cascade Lasers

    SBC: INTRABAND, LLC            Topic: A10AT007

    The technical objectives of this proposal are: 1) the design of 8 micron-emitting active-photonic-crystal (APC) quantum-cascade (QC) lasers by using passive phase-locking in a monolithic structure in order to achieve multiwatt-range, diffraction-limited powers; and 2) the development of the key fabrication steps for realizing the proposed APC QC laser. Deep-well (DW) QC lasers will be used in the ...

    STTR Phase I 2010 Department of DefenseArmy
  9. Ocean Surface Vector Winds (OSVW)

    SBC: ATMOSPHERIC & SPACE TECHNOLOGY RESEARCH ASSOCIATES LLC            Topic: N16BT026

    Ocean surface winds are critically important in naval operations. They may aid, hinder, or negate maneuvers and operations, and are a primary consideration in routing ships. Continuous and reliable information on favorable and unfavorable sea state is critical for a broad range of naval missions, including strategic ship movement and positioning, aircraft carrier operations, aircraft deployment, e ...

    STTR Phase II 2019 Department of DefenseNavy
  10. Object Cueing Using Biomimetic Approaches to Visual Information Processing

    SBC: SOAR TECHNOLOGY INC            Topic: N14AT008

    Understanding imagery from unmanned automated systems in a timely fashion requires support systems for end users that can filter and preprocess massive data via complex vision and understanding. A new computer system that mimics both the bottom-up biological and top-down cognitive processes of the human visual system will provide breakthrough decision support for immediate imagery analysis. We pro ...

    STTR Phase I 2014 Department of DefenseNavy
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