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Award Data

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The Award database is continually updated throughout the year. As a result, data for FY21 is not expected to be complete until September, 2022.

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. Advanced Tactical Facial Recognition at a Distance Technology

    SBC: Secure Planet, Inc.            Topic: SOCOM163003

    There has long been a need to quickly identify persons at long range with high accuracy.For tactical applications, solutions need to be compact, lightweight and frugal with power.Solutions also need to be fully functional in environments where communications are limited or non-existent.Challenges to meeting these requirements are: 1) obtaining sufficient face image resolution at long range, 2) rem ...

    SBIR Phase II 2018 Department of DefenseSpecial Operations Command
  2. Enhanced Canine Performance, Protection and Survivability

    SBC: Virtech Bio, Inc.            Topic: SOCOM172002

    Currently, there is no resuscitation fluid with oxygen carrier and plasma expansion capabilities to treat hemorrhagic shock in combat canines. Under SOCOM SBIR Phase 1, VirTech Bio developed a new hemoglobin-based oxygen carrier, VIR-VET, and performed successful feasibility safety and efficacy tests in rat models. In those studies, VIR-VET demonstrated prolonged vascular retention, without advers ...

    SBIR Phase II 2018 Department of DefenseSpecial Operations Command
  3. Enhanced Canine Performance, Protection and Survivability

    SBC: REJUVENATE BIO INC            Topic: SOCOM172002

    Multi-Purpose Canines (MPCs) are an integral aspect of the US military. The continued expansion and use of these indispensable force multipliers in an intense, ever-changing and complex battlefield requires enhancing their innate capabilities in a timely manner. Additionally, canines have a relatively short life span, and considering the substantial training period that MPCs must undergo, their ef ...

    SBIR Phase II 2018 Department of DefenseSpecial Operations Command
  4. Improving Human Performance through Neuroenhancement

    SBC: REJUVENATE BIO INC            Topic: SOCOM182002

    Special Operations Forces (SOF) are an integral aspect of the US military. SOF operators are among the most elite and highly qualified individuals in the U.S. military. As such, extraordinary physical and mental demands are placed upon them to excel in extreme environments for extended periods of time. This unrelenting cycle of combat deployments and intense pre-deployment training shortens the fu ...

    SBIR Phase I 2018 Department of DefenseSpecial Operations Command
  5. Solid Propulsion Engineered for CubeSat Kinetic Operations (SPECK-Ops)

    SBC: Exquadrum, Inc.            Topic: SOCOM17003

    During the proposed Phase II research and development effort, the project team will develop and demonstrate the Solid Propellant Engine for Enhanced Delta-V (SPECK-Ops) to provide a responsive, high-thrust orbital maneuvering, propulsion capability to CubeSats. The system will be tested simulated space environments and subject to various space qualification tests. The resulting propulsion system w ...

    SBIR Phase II 2018 Department of DefenseSpecial Operations Command
  6. SHELLE- Swift Heavy Lift Long Endurance UAV

    SBC: Swift Engineering, Inc.            Topic: SOCOM172004

    SHELLE brings a paradigm shifting level of performance to the US military for electric field deployable UAS in range, endurance and payload capability. It bridges the capability gap between existing hand launchable electric UAS and larger liquid fueled UAS. The SHELLE V1 even outperforms many liquid fuel aircraft and can match the payload of aircraft twice its weight at a fraction of the cost. Com ...

    SBIR Phase II 2018 Department of DefenseSpecial Operations Command
  7. Fusion of VMS and Radiation Sensor Data for Real-Time Identification and Tracking

    SBC: Silverside Detectors Inc.            Topic: HSB0181010

    Traditionally, implementation of dedicated, continuous nuclear and radiological monitoring systems for identifying and tracking nuclear materials out of regulatory control is associated with high operational burdens. Although video and images from cameras are helpful in assessing threats, the raw, unstructured data require time-intensive human interaction to extract the relevant actionable informa ...

    SBIR Phase I 2018 Department of Homeland Security
  8. Tracking Nuclear Threats in Security Camera Networks (TNT-SCAN)

    SBC: Charles River Analytics, Inc.            Topic: HSB0181010

    The implementation of continuous nuclear and radiological monitoring systems enabling the automatic detection and tracking of potential nuclear threats is traditionally associated with a high operational burden. Sensors typically have to be monitored by dedicated personnel, who must investigate detection events in a timely manner; however, high nuisance alarm rates can rapidly overwhelm already-ta ...

    SBIR Phase I 2018 Department of Homeland Security
  9. Flexible, High-Frequency, High-Durability, and Multifunctional Sensor Film

    SBC: NEWPORT SENSORS INC            Topic: 18OATS001

    DHS has an unmet need for measuring ultra-high-intensity, near-field blast overpressure caused by internal blast within a commercial aircraft explosive threat environment in order to facilitate characterization of blast effects to commercial aircraft structures.The goal of this DHS SBIR OATS project is to deliver advanced thin, flexible, conformable, multi-sensing-point film sensor technology for ...

    SBIR Phase II 2018 Department of Homeland Security
  10. Low-Shot Detection in Remote Sensing Imagery

    SBC: Novateur Research Solutions, LLC            Topic: NGA172002

    This SBIR Phase II project will develop biologically inspired computational models and algorithms to enable low-shot and one-shot detectionof objects-of-interest in remote sensing imagery. The Phase II effort will build upon our Phase I work including multi-scale representationlearning framework and deep-learning based feature extraction and matching techniques for low-shot target detection. The P ...

    SBIR Phase II 2018 Department of DefenseNational Geospatial-Intelligence Agency
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