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The Award database is continually updated throughout the year. As a result, data for FY24 is not expected to be complete until March, 2025.

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. Cyberspace Operations Degraded Exercise & Synthetic Training Architecture (CODESTAR)

    SBC: SOAR TECHNOLOGY INC            Topic: N17AT023

    The majority of todays cyberspace training is conducted on dedicated, closed network virtual ranges that provide the basic services and controls necessary to train DoD Cyberspace Mission Forces on their primary tasks and missions [Wells,2015]. These ranges operate independently from the traditional M&S environments used to conduct battlestaff and Fleet synthetic training (FST) that, in the real wo ...

    STTR Phase I 2017 Department of DefenseNavy
  2. 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
  3. Optimized Build Plate Design Tool for Metal Laser Powder Bed Additive Manufacturing

    SBC: TECHNICAL DATA ANALYSIS, INC.            Topic: N17BT033

    TDAs proposed work addresses the target STTR topic objectives of developing an intelligent decision support system to (a) mitigate the evolution of AM process-induced residual stresses and distortions, (b) include advanced optimization features and (c) help the user in selecting the best part orientation & support on the AM platformBased on our teams expertise in topology optimization, modeling an ...

    STTR Phase I 2017 Department of DefenseNavy
  4. 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
  5. Minimum-Risk Planning and On-Board Replanning for UAS Operations

    SBC: BARRON ASSOCIATES, INC.            Topic: N17BT034

    Current aircraft operations within the National Airspace System (NAS) rely heavily on the presence of an on-board pilot to safely manage the flight. Integration of Unmanned Aircraft Systems (UAS) into the NAS requires a high confidence that these unmanned aircraft operations can meet or exceed the safety afforded through manned operations. Specifically, these UAS operations must not pose an undue ...

    STTR Phase I 2017 Department of DefenseNavy
  6. Materials Modeling Tool for Alloy Design to Streamline the Development of High Temperature, High-Entropy Alloys for Advanced Propulsion Systems

    SBC: Directed Vapor Technologies International, Inc.            Topic: N17BT031

    The performance of gas turbine engines is greatly improved as engine operation temperatures are increased. This has dictated that the hot structural components made of nickel based superalloys often operate at temperatures approaching their melting point. Alternate materials with higher temperature performance are desired for use in the hot section of gas turbine engines. Higher temperature capabl ...

    STTR Phase I 2017 Department of DefenseNavy
  7. 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
  8. Prediction of Rotor Loads from Fuselage Sensors for Improved Structural Modeling and Fatigue Life Calculation

    SBC: TECHNICAL DATA ANALYSIS, INC.            Topic: N17AT009

    For rotorcraft, accurate loads prediction is required across the full flight regime, including turbulent flow, blade-vortex interaction, as well as interactions with the fuselage and tail rotor. Predictive capabilities of modern computational fluid dynamics coupled with computational structural dynamics software must be addressed in the context of technology integration into a real aircrafts fatig ...

    STTR Phase I 2017 Department of DefenseNavy
  9. Soliloquy

    SBC: SOAR TECHNOLOGY INC            Topic: N17AT010

    Automatic Speech Recognition (ASR) is the capability where spoken words, commands or phrases are ingested and interpreted by a software system and used to elicit activity or response. ASR capabilities range from dictation, which converts speech into text; to systems that interpret and respond to speech in proper context. In a vast majority of military domains, substantive verbal communication is a ...

    STTR Phase I 2017 Department of DefenseNavy
  10. 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
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