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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. High Energy Density Batteries

    SBC: WASATCH IONICS LLC            Topic: SOCOM232003

    Soldiers conducting missions on foot in remote locations must carry multiple battery powered electronic devices, such as multiband radio sets, night vision goggles and scopes, GPS tracking, thermal imagers, target designators, etc. These devices allow soldiers to target, move, and communicate in the modern battlefield. Depending upon the type of mission and its duration, soldiers might not have th ...

    SBIR Phase I 2023 Department of DefenseSpecial Operations Command
  2. Solid State High Energy Density Batteries

    SBC: BHAWIN LLC            Topic: SOCOM222001

    In Phase I project, Bhawin LLC aims to develop the current concept of solid-state Li-ion battery fabricating a single continuous phase for the anode, electrolyte, and cathode, and thus, eliminating the highly resistive interfaces between the electrolyte and electrodes found in straight solid-state Li-ion batteries. Advanced Li-ion battery technology will play a critical role in the understanding o ...

    SBIR Phase I 2022 Department of DefenseSpecial Operations Command
  3. Algorithm Performance Evaluation with Low Sample Size

    SBC: SIGNATURE RESEARCH, INC.            Topic: NGA20C001

    The team of Signature Research, Inc. and Michigan Technological University will develop and demonstrate methods and metrics to evaluate the performance of machine learning-based computer vision algorithms with low numbers of samples of labeled EO imagery. We will use the existing xView panchromatic dataset to demonstrate a proof-of-concept set of tools. If successful, in Phase II, we will extend t ...

    STTR Phase I 2021 Department of DefenseNational Geospatial-Intelligence Agency
  4. Nanosatellite Payloads for Tactical Intelligence, Surveillance, and Reconnaissance

    SBC: Skeyeon, Inc.            Topic: SOCOM193001

    Skeyeon, Inc. has developed all technologies necessary to orbit an Earth Observation, EO, satellite at 250 km, developing a vehicle design; atomic oxygen resistant, low drag materials; high bandwidth, real-time RF links; electric propulsion for 3 year missions; and a 1 meter resolution optical telescope compressed into a 10 cm high framework. A constellation of 100’s-1,000’s of these vehicles ...

    SBIR Phase I 2020 Department of DefenseSpecial Operations Command
  5. Faster Optical Modem for Underwater Data Acquisition

    SBC: SONALYSTS INC            Topic: NGA182001

    To address NGA’s requirements, Sonalysts’ team of world-class experts in underwater optical communication proposes development and implementation of the Precision Optical Navigation Transceiver for Undersea Systems (PONTUS). PONTUS will transfer navigation information from an Underwater Navigation Beacon (UNB) to an Unmanned Undersea Vehicle (UUV) in an electromagnetic-spectrum-denied (e.g., G ...

    SBIR Phase I 2019 Department of DefenseNational Geospatial-Intelligence Agency
  6. Algorithms for Look-down Infrared Target Exploitation

    SBC: SIGNATURE RESEARCH, INC.            Topic: 1

    Signature Research, Inc. (SGR) and Michigan Technological University (MTU) propose a Phase I STTR effort to develop a learning algorithm which exploits the spatio-spectral characteristics inherent within IR imagery and motion imagery.Our archive of modelled and labeled data sets will allow our team to thoroughly capture the variable elements that will drive machine learning performance.The overall ...

    STTR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency
  7. Enhanced Canine Performance, Protection and Survivability

    SBC: Metro International Biotech, LLC            Topic: SOCOM172002

    Given the benefits of exercise on general health, orally active compounds that can mimic or potentiate the effects of exercise have been of keen interest as therapeutic and dietary ingredients. Our proposed approach for enhancement of USSOCOM Multi-Purpose Canine (MPC) endurance and sensory performance using an exercise mimetic is based on the observation that age-related decline of nicotinamide ...

    SBIR Phase I 2018 Department of DefenseSpecial Operations Command
  8. Group 2 (<55lbs) Unmanned Aerial System for Special Operations Forces Tactical-Level Intelligence, Surveillance, and Reconnaissance Operations

    SBC: SEALANDAIRE TECHNOLOGIES, INC.            Topic: SOCOM172005

    SeaLandAire Technologies, Inc. (SLA) proposes to meet this Group 2 need with an electric drive concept that will be capable of a 20-30 lbs. modular payload, with comparable range and endurance to current grp 2 ISR UAS, while still maintaining sufficient ISR capabilities. This UAS concept is able to covertly and safely deliver payload to within 1 meter accuracy, then extract a different payload an ...

    SBIR Phase I 2018 Department of DefenseSpecial Operations Command
  9. Virgo

    SBC: SOAR TECHNOLOGY INC            Topic: SOCOM17004

    Many current approaches applying big data analytics to defensive cyberspace operations (DCO) are based on two premises: queries that find known anomalies (e.g., indicators of compromise) and/or applying machine learning to detect anomalous behavior. While some claim to predict attacks, in truth those attacks must have already been detected somewhere, characterized, and added to a knowledge base. W ...

    SBIR Phase I 2017 Department of DefenseSpecial Operations Command
  10. Advanced Durability Systems for Unmanned Aerial Vehicle Propulsion

    SBC: BAKER ENGINEERING, LLC            Topic: SOCOM163002

    Baker Engineering Inc. (BEI) proposes the exploration of advanced material technologies to improve Unmanned Aerial Vehicle (UAV) engine durability, thermal and wear resistance, and strength within critical internal engine components. Specifically during the Phase I effort, BEI will research the use of advanced materials and coatings on static engine components including cylinders, blocks and crank ...

    SBIR Phase I 2017 Department of DefenseSpecial Operations Command
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