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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. NEW TECHNOLOGIES FOR IMPROVED SIMULATION OF NUCLEAR WEAPON EFFECTS

    SBC: Ares Corporation            Topic: N/A

    N/A

    SBIR Phase I 1990 Department of DefenseDefense Threat Reduction Agency
  2. HOLOGRAPHIC PATTERN RECOGNITION FOR ARMS CONTROL

    SBC: EMPIRICAL TECHNOLOGIES CORPORATION            Topic: N/A

    THE CONTRACTOR HAS PATENTED TECHNOLOGY FOR A UNIQUE PROCESS THAT DIRECTLY CONVERTS AN ACOUSTIC SIGNAL INTO A VISIBLE ONE IN REAL-TIME WITHOUT ELECTRONIC CIRCUITRY. THIS RELIES ON THE ACOUSTO-OPTICAL PROPERTIES OF A CONTINUOUS LAYER OF LIQUID CRYSTAL THIN FILM LAYER WHICH SERVES AS BOTH THE SENSOR AND THE DISPLAY. THE IMAGE CAN BE VIEWED DIRECTLY BY MEANS OF CCD CAMERA. HOLOGRAPHY PROVIDES FOR BOTH ...

    SBIR Phase I 1990 Department of DefenseDefense Threat Reduction Agency
  3. Heterdyne Interferometer for Triggering Gas Puff PRSs

    SBC: HY-Tech Research Corp.            Topic: N/A

    Large X-ray generators using gas fill loads are a key element in the DTRA simulator program. Consistent relative timing between the injection of the gas shell and the generator current pulse is crucial to producing consistent, high-yield x-ray pulses.To that end HY-Tech proposes replacing existing high voltage trigger pin technology, with a sensitive, all fiber-optic heterodyne interferometer ba ...

    SBIR Phase I 2003 Department of DefenseDefense Threat Reduction Agency
  4. Tag, Track, and Locate (TTL) technologies and concepts for combating weapons of mass destruction (CWMD).

    SBC: SURFACE TREATMENT TECHNOLOGIES, INC.            Topic: DTRA102001

    OBJECTIVE: Expand the state-of-the-art to develop new technologies that predict our enemy"s intentions before they act by focusing on"24x7"TTL of terrorists and WMD-related activities in what is now a global theater of war. Enhance technical capabilities to globally tag, track and locate personnel and materials associated with the development, manufacture, or proliferation of WMD. DESCRIPTI ...

    SBIR Phase I 2011 Department of DefenseDefense Threat Reduction Agency
  5. SNAPSHOT: A System for Predicting Human Physical Traits from Sample DNA

    SBC: PARABON NANOLABS, INC.            Topic: DTRA102007

    OBJECTIVE: Develop a Forensic DNA Analysis Kit for Genetic Intelligence that can be used on unknown human DNA samples collected from the battlefield to provide information about the individual who deposited the sample, such as potential ethnicity, height, eye color, hair color, age, sex, and/or facial features. The kit should leverage Short Tandem Repeats (STR), Single Nucleotide Polymorphisms (S ...

    SBIR Phase I 2011 Department of DefenseDefense Threat Reduction Agency
  6. Numerical Model of Subsurface Transport of Noble Gases in Fractured Geologic Media for Detection and Identification of Subsurface Nuclear Explosion Te

    SBC: MODERN TECHNOLOGY SOLUTIONS, INC.            Topic: DTRA111002

    Surface detection of specific radioisotopes of the noble gases xenon and argon are essential for detection and discrimination of underground nuclear explosions. We propose a unique combination of numerical modeling and stable isotope release experiments to enhance the predictability of subsurface transport of the noble gases of interest. Our proposed research will identify and quantify the physi ...

    SBIR Phase I 2011 Department of DefenseDefense Threat Reduction Agency
  7. IED neutralization from an airborne platform

    SBC: IMSAR LLC            Topic: DTRA182001

    In cooperation with the Joint Improvised-threat Defeat Organization (JIDO) and the U.S. Army, IMSAR LLC demonstrated its radar systems' ability to successfully detect IED emplacements from the RQ-7B Shadow Unmanned Aerial System (UAS). As part of the Army’s ShadowSAR program, IMSAR operated and maintained these Synthetic Aperture Radar (SAR) sensors for 4 ½ years in support of Operation Endurin ...

    SBIR Phase I 2019 Department of DefenseDefense Threat Reduction Agency
  8. Autonomous navigation through small, confined spaces

    SBC: ROBOTIC RESEARCH OPCO LLC            Topic: DTRA182002

    As more of our enemies expand the number and complexity of their underground facilities, the need to improve the tools that provide consistent situational awareness (SA) increases accordingly. For complex missions such as these, we require a family of systems (FoS) that have different capabilities, and can address various mission needs. Robotic Research proposes creating a unique, small platform ( ...

    SBIR Phase I 2019 Department of DefenseDefense Threat Reduction Agency
  9. Automated pattern recognition methods to identify nuclear explosions

    SBC: Acorn Science & Innovation, Inc.            Topic: DTRA182005

    Reliable automated pattern recognition in the current system is limited by excessive noise and clutter combined with insufficient and/or ambiguous features. Our team consisting of AcornSI and Leidos thus propose a multi-step approach based on the combined effects of improved detection, feature extraction, phase identification, and global association. A key innovation here is creating a new classif ...

    SBIR Phase I 2019 Department of DefenseDefense Threat Reduction Agency
  10. A Deep Learning Approach for Enhanced Discrimination of Nuclear Weapons Testing

    SBC: Array Information Technology, Inc            Topic: DTRA182005

    Seismic, hydro acoustic, and infrasonic (SHI) analyses possess many desirable properties, such as long-distance wave propagation and attributable spectral characteristics. They have been, by large, relegated to capturing massive explosions, earthquakes, bolides, and space-bound rocket launches. Although machine learning techniques have been employed on various military and commercial projects, rar ...

    SBIR Phase I 2019 Department of DefenseDefense Threat Reduction Agency
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