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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. DIG-SOF: A Next Generation Toolset for Data Aggregation and Analysis

    SBC: INFERLINK CORPORATION            Topic: SOCOM16003

    As the Web has become an increasingly important communication network, it has also become a resource for terrorists, criminals, insurgents and other adversaries. For this reason, military and intelligence analysts are increasingly interested in technology for monitoring and analyzing information on Web sites, social media and other sources.However, there are many difficult technical challenges inv ...

    SBIR Phase I 2017 Department of DefenseSpecial Operations Command
  2. Bioinformatics: Data Integration for Biomonitoring Applications

    SBC: Reference Genomics, Inc.            Topic: DTRA162002

    To effectively counter Weapons of Mass Destruction (WMD) we must be able to accurately and sensitively detect the sites of WMD development. While the reagents and byproducts of nuclear activity may be rapidly depleted from environmental sites, those transient perturbations leave a lasting mark on the resident microbial communities by promoting and restricting the growth of different microorganisms ...

    SBIR Phase I 2017 Department of DefenseDefense Threat Reduction Agency
  3. Bioinformatics: Data Integration for Biomonitoring Applications

    SBC: Arete Associates            Topic: DTRA162002

    Aret Associates and Oak Ridge National Laboratory (ORNL) propose an interdisciplinary effort to meet the challenges of developing a soil microbiome-based nuclear activity biomonitoring application. Our approach combines Arets expertise in decision theory and bioinformatics with ORNLs subject matter expertise in microbial ecology and contaminant signatures. We will adapt and extend our high featu ...

    SBIR Phase I 2017 Department of DefenseDefense Threat Reduction Agency
  4. Advanced Solutions for Radiation Susceptibility Analysis & Prediction

    SBC: LUCID CIRCUIT, INC.            Topic: DTRA162006

    With the advent of high-density low-power sub-20nm technology processes and circuits with tens-of-billions of transistors, radiation-induced single-event effects present a new set of design challenges for terrestrial applications. Developing reliable single-event effect resilient microelectronics in these modern technology nodes is a resource and time-intensive endeavor that further requires valid ...

    SBIR Phase I 2017 Department of DefenseDefense Threat Reduction Agency
  5. 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
  6. Facial Recognition at Long Distance System

    SBC: Physical Optics Corporation            Topic: SOCOM163003

    To address the USSOCOM need for man-portable advanced tactical facial recognition technologies at ranges of 650 m to 1 km, Physical Optics Corporation (POC) proposes to develop a new Facial Recognition at Long Distance (FAREL) system based on an innovative combination of technologies that include lucky imaging and a customized deep convolutional neural network (CNN) method. Specifically, the innov ...

    SBIR Phase I 2017 Department of DefenseSpecial Operations Command
  7. Digital Adaptive Optics for Advanced Tactical Facial Recognition at a Distance

    SBC: Trex Enterprises Corporation            Topic: SOCOM163003

    Positively identifying a target at tactical ranges is a formidable task that is hindered by target occlusion, atmospheric turbulence, hardware limitations, focus errors, lens aberrations, and blur from unstable platforms. The solution proposed solves these issues by combining a recently developed Digital Adaptive Optics technology with advanced facial recognition algorithms, to arrive at a man-po ...

    SBIR Phase I 2017 Department of DefenseSpecial Operations Command
  8. Integrated Color Night-Vision Camera

    SBC: Physical Optics Corporation            Topic: SOCOM163006

    To address the USSOCOM need for a color night-vision sensor, Physical Optics Corporation (POC) proposes to develop a new Integrated Color Night-Vision Camera (ICONIC), based on novel integration of the color night-vision sensor with the compact long effective focal length (CLOFL) lens system in a rugged packaging. The innovation in the proposed color night-vision sensor with the innovative CLOFL o ...

    SBIR Phase I 2017 Department of DefenseSpecial Operations Command
  9. Color Airborne Night Vision Sensor (CANVaS)

    SBC: ZIVA CORPORATION            Topic: SOCOM163006

    Ziva Corporation propose a powerful approach called Color Airborne Night Vision Sensor (CANVAS) to achieve true color imaging performance from avionic platforms in both night and day conditions from a single sensor system offer a significant boost in interpretability for military operations. The CANVAS approach combines an ultra-high sensitivity Commercial Off the shelf CMOS camera with a customi ...

    SBIR Phase I 2017 Department of DefenseSpecial Operations Command
  10. Color Night Vision Sensor

    SBC: TOYON RESEARCH CORPORATION            Topic: SOCOM163006

    The United States Special Operations Commands (USSOCOM) demands a color night vision system (CNVS) that combines low-light visual acuity with true-color imagery. A true-color night vision sensor would enable better exploitation of the human visual perceptive system allowing for more robust target detection, identification, and recognition. Current night vision systems offer only monochrome imagery ...

    SBIR Phase I 2017 Department of DefenseSpecial Operations Command
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