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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. Biotemplating for Synthesis of Metal Nanorods Used In Infrared Obscuration

    SBC: NANOCOMPOSIX, INC.            Topic: A17058

    In this Phase I SBIR, technology to cost-effectively fabricate infrared absorbing nanorods will be developed. Biologically produced high-aspect ratio templates will be surface modified and subsequently coated with a thin metal shell. The nanorods will have well controlled lengths and diameters that are optimized to have a strong resonance in the long wavelength infrared atmospheric transmission wi ...

    SBIR Phase I 2019 Department of DefenseArmy
  2. Unified Analysis and Design Simulation Toolchain

    SBC: Physical Optics Corporation            Topic: A18110

    To address the Army’s need for a unified approach to virtually integrate avionics system, track errors, verify assertions of correctness, and identify points of failure, Physical Optics Corporation (POC) proposes to develop a new Unified Analysis and Design Simulation Toolchain (UADST). UADST uses system specification in Architectural Analysis and Design Language (AADL) and a comprehensive set o ...

    SBIR Phase I 2019 Department of DefenseArmy
  3. Grand Unified Modeling of Behavioral Operators (GUMBO)

    SBC: ADVENTIUM ENTERPRISES, LLC            Topic: A18110

    Grand Unified Modeling of Behavioral Operators (GUMBO) will combine several different Architecture Analysis and Design Language (AADL)-based behavior modeling approaches into a single Unified Behavior Representation (UBR), coupled with fast, lightweight analysis and highly automated, usable verification for detailed designs. Component vendors will supply behavioral and interface specifications usi ...

    SBIR Phase I 2019 Department of DefenseArmy
  4. Thin Film Multi-source Energy Harvester for Unmanned Aerial Vehicles

    SBC: NANOSD, INC.            Topic: A18112

    Unmanned aerial vehicle (UAV) technology has recently focused on extending flight time. Currently, the power supply of UAVs is based on silicon, CIGS, and CdTe commercial thin film solar cells, operating through energy storage devices such as lithium-ion batteries. However, UAV technology still suffers from limited flight times to provide much information during reconnaissance missions for the US ...

    SBIR Phase I 2019 Department of DefenseArmy
  5. Video Information Abstraction and Transmission with Autonomous Prioritization

    SBC: INTELLISENSE SYSTEMS INC            Topic: A18113

    To address the Army’s need for alternative methods to transmit information in motion imagery or full-motion videos (FMVs) from an unmanned air vehicle (UAV) to a ground control station without a constant link, Intellisense Systems, Inc. (ISI) proposes to develop a new Video Information Abstraction and Transmission with Autonomous Prioritization (VIATAP) system, based on novel integration of deep ...

    SBIR Phase I 2019 Department of DefenseArmy
  6. Mobile Aerial Radar Signature Scanner

    SBC: INTELLISENSE SYSTEMS INC            Topic: A18114

    To address the Army’s need for a mobile and rapidly deployable radar signature collection system to cost effectively acquire target in background radar cross section (RCS) data, Intellisense Systems, Inc. (ISI) proposes to develop a new Mobile Aerial Radar Signature Scanner (MARSS) based on the novel integration of mature components including fully polarimetric miniature monostatic radars in X-b ...

    SBIR Phase I 2019 Department of DefenseArmy
  7. Software Solutions for True Random Number Generation

    SBC: IERUS TECHNOLOGIES INC            Topic: A18116

    The modern networked battlefield is a contested environment fought with the use of encryption and digital attacks. As such, heavy advantage is provided to the side with the most robust encryption technologies as well as knowledge of the fundamental limitations of those, and competing technologies. Modern encryption protocols are constructed around a kernel of random numbers. Generation of these ra ...

    SBIR Phase I 2019 Department of DefenseArmy
  8. Chaotic Source for Spread-Spectrum Radar and Communication

    SBC: ENGENIUSMICRO LLC            Topic: A18117

    Exact solvable chaotic oscillators with corresponding matched filters have recently been demonstrated for applications such as wireless communications and radar. This technology offers the possibility of complex waveform generation with relatively simple low-cost analog circuitry. To fully take advantage of this technology, much higher operating frequencies are required of the chaotic oscillators. ...

    SBIR Phase I 2019 Department of DefenseArmy
  9. Chaotic Source for Spread-Spectrum Radar and Communication

    SBC: Monte Sano Research Corporation            Topic: A18117

    The advancement of our Nation’s ranging and communications systems is a crucial component for protecting national security. New and innovative technologies help to maintain our advantages on the battlefield, particularly when the combat capabilities of our adversaries continue to advance. For example, dramatic improvements to the size, weight, and power (SWaP) of radar and communications systems ...

    SBIR Phase I 2019 Department of DefenseArmy
  10. Aggressive AI Self-Learning Defense Network

    SBC: Physical Optics Corporation            Topic: A18118

    To address the Army’s need for an Artificial-Intelligence-based Automated Fire Control System, Physical Optics Corporation (POC) proposes to develop a new Aggressive AI Self-Learning Defense Network (ASSAILNET) technology. Specifically, the innovation in the network architecture, the network node interface design, and the network training strategy will enable each AI node in the network to inter ...

    SBIR Phase I 2019 Department of DefenseArmy
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