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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. Building an Internet Cleanroom from Virtual Machines

    SBC: INVINCEA LABS, LLC            Topic: ST061001

    In this proposal, we present an approach for building the Internet Cleanroom (IC) that represents a radical departure from prior and current Internet security tools and practices. Where today's information security tools and practices focus either on building better software, filtering mechanisms such as firewalls to prevent remote exploitation, or building tools to detect compromises, the propose ...

    STTR Phase I 2006 Department of DefenseDefense Advanced Research Projects Agency
  2. Mid-infrared Fiber Laser Based on Super-Continuum

    SBC: OMNI SCIENCES, INC.            Topic: ST051008

    Infrared counter-measures require a mid-infrared laser operating between 3-5 microns with average powers of tens of watts. Omni Sciences, Inc.'s (OSI's) aims to develop a Mid-Infra-Red FIber Laser (MIRFIL) based on super-continuum (SC) generation that produces a continuous spectrum between 1-5 microns. OSI has demonstrated broadband SC in high-nonlinearity fused silica (HiNL) and ZBLAN fluoride ...

    STTR Phase I 2005 Department of DefenseDefense Advanced Research Projects Agency
  3. Neurofeedback Training and Hyperscanning for Mission Readiness and Return-to-Duty via Functional Near-Infrared Spectrometry (fNIRS)

    SBC: SOAR TECHNOLOGY, INC.            Topic: DHA19B001

    Until now,much of theresearch usingfunctional near-infrared spectroscopy (fNIRS) has focused on tailoringasystem to detect onlyafew cognitivestatesand theapplication of theseapproaches outsidethe laboratory is not well tested. This solution provides severely limited coverage of thespacethat this technology could beapplied to,and is notarealistic path for developing neuroimagingasan operational ass ...

    STTR Phase I 2020 Department of DefenseDefense Health Program
  4. High Density Capacitors for Compact Transmit and Receive Modules

    SBC: BIOENNO TECH, LLC            Topic: N17AT011

    Development of a new generation of high-energy-density capacitors for power conversion/conditioning systems will be beneficial to reduce the size, weight, and cost of resultant transmit and receive (T/R) modules in modern radar and electronic warfare transmitters. Among capacitor technologies available, multilayer ceramic capacitors (MLCCs) and polymer-ceramic composite dielectric based capacitors ...

    STTR Phase I 2017 Department of DefenseNavy
  5. Software Tools for Implementing Speech Agents in Crew Resource Management Training Systems

    SBC: OPTIMAL SYNTHESIS INC.            Topic: N17AT010

    Crew resource management training systems are often constrained by the high cost and lack of flexibility in coordinating a large groups of human role players for part-task training. Motivated by the recent maturation of the speech synthesis and recognition technologies, speech-enabled crew role-player agents are being introduced to address these limitations. However, difficulties remain in customi ...

    STTR Phase I 2017 Department of DefenseNavy
  6. Vertical GaN Substrates

    SBC: Sixpoint Materials, Inc.            Topic: N/A

    SixPoint Materials will create low-cost, high-quality vertical gallium nitride (GaN) substrates using a multi-phase production approach that employs both hydride vapor phase epitaxy (HVPE) technology and ammonothermal growth techniques to lower costs and maintain crystal quality. Substrates are thin wafers of semiconducting material needed for power devices. In its two-phase project, SixPoint Mate ...

    STTR Phase I 2014 Department of EnergyARPA-E
  7. Visual Relative Navigation via Intelligent Ephemeral Relationships (VRNIER)

    SBC: TOYON RESEARCH CORPORATION            Topic: ST18C006

    As unmanned aircraft systems (UAS) become more prevalent there is an increasing desire to automate UAS navigation and control. To enable future UASs to perform a wider variety of missions, the they must be able to complete autonomous relative navigation to accomplish missions. Current technologies rely heavily on GPS measurements, which are undesirable since GPS signals may be unavailable in many ...

    STTR Phase I 2019 Department of DefenseDefense Advanced Research Projects Agency
  8. Integrated learning-based and regularization-based super resolution for extreme MWIR image enhancement

    SBC: OPTO-KNOWLEDGE SYSTEMS, INC.            Topic: N17AT016

    OKSI and Northwestern University propose to develop a super-resolution (SR) methodology for mid-wave infrared (MWIR) imagery that produces extreme enhancement of low resolution images. Image enhancement of at least 4x is expected using a standard imaging system. OKSI and Northwestern University will also develop a detector-limited imaging system specifically designed to be used with the SR methodo ...

    STTR Phase I 2017 Department of DefenseNavy
  9. Multi-Sensor Autonomous Hydrothemal Vent Detection System

    SBC: 10dBx LLC            Topic: N17AT028

    Development of a concept of operations is proposed for autonomous hydrothermal vent detection in a single sortie. The concept involves active sonars (forward looking and swath mapping sonars, plus possibly a 1-2 MHz acoustic Doppler current profiler (ADCP) for measuring midwater turbulence) mounted on a commercial AUV equipped with environmental sensors (e.g., CTD, fluorometer, MAPR-ORP). The AUV ...

    STTR Phase I 2017 Department of DefenseNavy
  10. Cognitive Adaptation and Mission Optimization (CAMO) for Autonomous Teams of UAS Platforms

    SBC: OPTO-KNOWLEDGE SYSTEMS, INC.            Topic: N17BT035

    OKSI and Professor Matthew Taylor will develop the Cognitive Adaptation and Mission Optimization (CAMO) command and control tool for teams of UAS platforms. CAMO will incorporate existing databases (e.g., NASA population maps, FAA airspace maps, etc.) as well as real-time data from UAS into a learning-based cognitive control solution that maximizes mission performance while minimizing risk for a t ...

    STTR Phase I 2017 Department of DefenseNavy
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