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Award Data

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The Award database is continually updated throughout the year. As a result, data for FY22 is not expected to be complete until September, 2023.

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. 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
  2. Foreign Like Weapon Production Capability

    SBC: KNIGHT'S ARMAMENT COMPANY            Topic: SOCOM172003

    In the proposed effort, KAC will establish a process for reverse engineering and redesigning foreign weapons, primarily the 7.62x54R PKM and the 12.7x108mm NSV. Our engineers will use laser scanning to reverse engineer weapons from our on-site museum. We will reverse engineer the bolt from the PKM in order to demonstrate the viability of the laser scanner, our engineers, and our machine shop to co ...

    SBIR Phase I 2018 Department of DefenseSpecial Operations Command
  3. 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
  4. 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
  5. Tactical Active Anti-Fogging Goggle or Spectacle

    SBC: Abom, Inc.            Topic: SOCOM18003

    ABOM has developed a novel active anti-fog technology platform that has solved the problem of eyewear fogging. These fog-free and ballistics-rated polycarbonate lenses provide the individual soldier with sustained distant visual acuity and improved situational awareness. Under this proposed SBIR Phase I project, ABOM will perform evaluation and feasibility studies for four proposed Military Combat ...

    SBIR Phase I 2018 Department of DefenseSpecial Operations Command
  6. Rapid Acquisition Demonstrator

    SBC: SciSwift LLC            Topic: SOCOM18004

    This proposal is for a feasibility study on the creation of an integrated software development platform to demonstrate how software projects can rapidly, reliably, and securely be created nearly on-demand. Furthermore, this study attempts to solve the rating and vetting of developers problem, based on their code quality, efficiency, and work product, using a novel machine learning system.The study ...

    SBIR Phase I 2018 Department of DefenseSpecial Operations Command
  7. NON-INVASIVE NEUROENHANCEMENT TO OPTIMIZE AUTONOMIC NERVOUS SYSTEM REGULATION AND BEHAVIORAL HEALTH WITH TRANSCUTANEOUS VIBRATORY STIMULATION

    SBC: Apollo Neuroscience, Inc.            Topic: SOCOM182002

    Apollo is a patent-pending AI software platform that integrates with connected hardware to deliver physiologically-reactive vibration, demonstrated in a double-blind randomizedplacebo-controlled clinical trial, to improve resilience, as measured by heart rate variability, and performance under stress by up to 25%.Using physiological measurement and environmental data, Apollo identifies each users ...

    SBIR Phase I 2018 Department of DefenseSpecial Operations Command
  8. Asynchronous Multi-transmitter Multi-aperture Synthetic 3D Imaging System

    SBC: VOXTEL, INC.            Topic: NGA183001

    Traditional active 3D imaging systems, such as airborne and terrestrial lidar scanners, use a transmitter and receiver typically co-located on the same platform and connected in synchronous communications. However, recent advances in laser, detector, and airborne systems technology have opened the door to smaller, higher-performance and significantly lower-cost airborne lidar systems in which it i ...

    SBIR Phase I 2019 Department of DefenseNational Geospatial-Intelligence Agency
  9. SURFER: SAR Unsupervised and Robust Feature ExtractoR

    SBC: THE DESIGN KNOWLEDGE COMPANY            Topic: NGA191001

    The NGA requires an automatic, unsupervised SAR feature extraction (AUFE) technique, that can ultimately be deployed for geospatial analysis, modeling, and target detection. Our proposed “SAR Unsupervised and Robust Feature ExtractoR” (SURFER) solution includes in Phase I: (1) a sound and deterministic assessment of the underlying RF phenomenology and SAR processing theoretical basis for effec ...

    SBIR Phase I 2019 Department of DefenseNational Geospatial-Intelligence Agency
  10. Collaborative Recommender System for Spatio-Temporal Intelligence Documents

    SBC: RAJI BASKARAN LLC            Topic: NGA191005

    NLP pipelines available today are getting robust for general language modeling purposes. But domain-specific data, abbreviations and lingos, and text about time or space still need a lot of tuning and training that are well beyond application of standard tool sets. Deep learning for recommendation engines is quite new, and all recommender systems, in particular for specially trained users, tend to ...

    SBIR Phase I 2019 Department of DefenseNational Geospatial-Intelligence Agency
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