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The Award database is continually updated throughout the year. As a result, data for FY23 is not expected to be complete until September, 2024.

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.

The SBIR.gov award data files now contain the required fields to calculate award timeliness for individual awards or for an agency or branch. Additional information on calculating award timeliness is available on the Data Resource Page.

  1. High Linearity RF Amplifiers from Carbon Nanotubes

    SBC: CARBON TECHNOLOGY INC            Topic: A18BT004

    The Key to further improving the data rate in data communication while minimizing the power consumption is to improve the linearity of a power amplifiers in the system. Carbon Nanotube (CNT) offer intrinsically linear behavior, but to realize advanced linearity in a practical device requires high quality CNT material, and a fabrication process that can take the full advantage of the superior prope ...

    STTR Phase I 2019 Department of DefenseArmy
  2. Disablement of Vehicles and/or Remote Weapon Stations in an Urban Environment

    SBC: Integrated Solutions for Systems, Inc.            Topic: A18BT013

    In an effort to address the needs laid out in the solicitation, “Disablement of Vehicles and/or Remote Weapon Stations in an Urban Environment”, IS4S plans to develop a weapon system that allows for the disablement of critical components in electronic systems. Current soldier delivered weapons fail to meet the requirements of low collateral damage engagement in civilian populated areas. The so ...

    STTR Phase I 2019 Department of DefenseArmy
  3. Blending Classical Model-Based Target Classification and Identification Approaches with Data-Driven Artificial Intelligence

    SBC: TOYON RESEARCH CORPORATION            Topic: N18BT033

    Toyon Research Corp. and the University of California propose to develop innovative algorithms to perform automatic target recognition (ATR), localization, and classification of maritime and land targets in EO/IR, LiDAR, and SAR imagery. The proposed algorithms are based on recent developments made at the University of California, which outline a strong mathematical framework for naturally blendin ...

    STTR Phase I 2019 Department of DefenseNavy
  4. 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 group 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 customiz ...

    STTR Phase II 2019 Department of DefenseNavy
  5. High Density Capacitors for Compact Transmit and Receive Modules

    SBC: Bioenno Tech, LLC            Topic: N17AT011

    Development of high-energy-density, low-loss capacitors for power conversion/conditioning systems is an enabling technology to achieve the objective of reducing size, weight, and cost of transmit and receive (T/R) modules in modern radar and electronic warfare transmitters. Among capacitor technologies available, multilayer ceramic capacitors (MLCCs) are receiving more attentions. At present, howe ...

    STTR Phase II 2019 Department of DefenseNavy
  6. Transformation Accelerated through Redesign, Guidance, and Enhanced Training (TARGET)

    SBC: Tier 1 Performance Solutions, LLC            Topic: N17AT017

    As submarine threats from adversary countries continue to rise, the U.S. Navy must maintain and expand its anti-submarine warfare (ASW) capabilities. Warfighter readiness is the linchpin of the Navy’s ASW strategy, but the complexity of the ASW domain necessitates time-consuming training, and practical experiences to transfer those skills to the operational environment. Innovative training appro ...

    STTR Phase II 2019 Department of DefenseNavy
  7. 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 single-image super-resolution (SR) methodology for mid-wave infrared (MWIR) imagery that combines learning-based and regularization-based approaches to produce extreme enhancement of low-resolution images. We will also develop a detector-limited imaging system specifically designed to be used with the SR methodology for which even higher levels ...

    STTR Phase II 2019 Department of DefenseNavy
  8. Advanced Command and Control Architectures for Autonomous Sensing

    SBC: TOYON RESEARCH CORPORATION            Topic: N18BT030

    We propose to develop an innovative open architecture for the semi-autonomous command and control (C2) of teaming Unmanned Aircraft Systems (UAS). The proposed architecture, based upon Toyon’s Decentralized Asset Management system, supports both centralized and decentralized fusion and control autonomy solutions as well as hybrids approaches. Leveraging STANAG-4586, TCP/IP, UPD, Google™ protob ...

    STTR Phase I 2019 Department of DefenseNavy
  9. Visual Tools and Progressive Automation for Complex Knowledge Management and Decision Support

    SBC: Stottler Henke Associates, Inc.            Topic: N17AT004

    We propose to adapt and automate the processes and technologies associated with evidence-based decision support to the Navy—providing a tool that can synthesize current cognitive and learning science knowledge and inform decisions so as to maximize the value gained for each training expenditure. We will develop a plug-play architecture that will allow us to make the best use of emerging technolo ...

    STTR Phase II 2019 Department of DefenseNavy
  10. Electro-Optic Transmissive Scanner

    SBC: ULTIMARA INC            Topic: N17AT001

    The goal of this program is to develop and construct a thin, light weight, low power, large aperture, electro-optic (EO) transmissive scanner that utilizes electro-optically active nanomaterial structures, suitable for UAV’s platform. The nano-material beam-steering technology aperture system offers an ultra-thin Size, Weight, and Power (SWAP) to fit on UAV’s airframe and achieve ultrafast and ...

    STTR Phase II 2019 Department of DefenseNavy
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