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The Award database is continually updated throughout the year. As a result, data for FY20 is not expected to be complete until September, 2021.

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.

  1. Tactical Sensor Open Standards Integration

    SBC: Botts Innovative Research Inc            Topic: SOCOM202001

    Botts Innovative Research, Inc (Botts, Inc.) proposes to conduct a feasibility study to assess the art of the possible as it relates to the use of the open source, open standards based OpenSensorHub (OSH) (www.OpenSensorHub.org) for the integration between the sensors and robots of Hyper Enabled Operators (HEO), their units, and their mission command, to provide battlespace awareness at the tactic ...

    SBIR Phase I 2020 Department of DefenseSpecial Operations Command
  2. 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
  3. Multi-hop processing for OTHR range extension

    SBC: Decibel Research, Inc.            Topic: NGA191011

    The development of sophisticated anti-access/area denial (A2/AD) capabilities by our adversaries requires us to develop long range capabilities to mitigate this A2/AD threat. Extending the range of Over The Horizon Radars beyond their conventional single hop operating mode will potentially provide coverage out to 10000 km and beyond. We propose combining existing state-of-the art HF radar ray prop ...

    SBIR Phase I 2019 Department of DefenseNational Geospatial-Intelligence Agency
  4. 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
  5. 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
  6. System for Nighttime and Low-Light Face Recognition

    SBC: Polaris Sensor Technologies, Inc.            Topic: SOCOM18A001

    The objective of this proposal is to develop instrumentation and algorithms for acquiring facial features for facial recognition in low- and no-light conditions.We will use cross-spectrum matching by exploiting infrared polarimetric imagery which tends to show features that match more closely visible imagery than conventional infrared.In addition to thermal infrared, we will also test subjects in ...

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

    SBC: Knight Technical Solutions, LLC            Topic: SOCOM172005

    The proposed Group 2 UAS is a long endurance fixed wing aircraft, a secure communications system and a portable ground station. The light weight aircraft features a high aspect ratio wing and is powered by an electric ducted fan for maximum efficiency. The modular aircraft system is one man portable and designed to be packed out on a molle backpack configuration. The conceptual airframe design ...

    SBIR Phase I 2018 Department of DefenseSpecial Operations Command
  10. 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
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