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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. Production of Chemical Reagents for Prompt-Agent-Defeat Weapons

    SBC: NALAS ENGINEERING SERVICES INC            Topic: DTRA14B001

    Nalas Engineering and Johns Hopkins University collaborated in a Phase I STTR program to study reactive mixtures of HI3O8 and nanocomposite fuels previously developed by the Weihs Group. These fuel/oxidizer mixtures are uniquely able to simultaneously produce heat and biocidal iodine gas, a combination designed to destroy biological weapons. The team at Nalas focused on evaluating conditions for p ...

    STTR Phase II 2017 Department of DefenseDefense Threat Reduction Agency
  2. 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 UAVs 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 wide ...

    STTR Phase I 2017 Department of DefenseNavy
  3. Multi-Phase Flame Propagation Modeling for Present and Future Combustors and Augmentors

    SBC: METACOMP TECHNOLOGIES INC            Topic: N17AT002

    The proposed project will develop advanced modeling capabilities for high-fidelity liquid-fuel spray calculations. State-of-the-art multiphase combustion models will be implemented in a volume-filtered Eulerian-Lagrangian framework that can easily be ported into existing CFD codes. Unlike traditional methods, the proposed strategy will ensure convergence under mesh refinement of the interphase exc ...

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

    SBC: ATA ENGINEERING, INC.            Topic: N17AT009

    ATA Engineering and researchers at the Georgia Institute of Technology will develop a framework for the accurate reconstruction of rotor loads from a suite of fixed-frame fuselage sensors that are utilized to augment physics-based simulations. The loads reconstruction framework will consist of two modules: the physics module, which provides first-principles predictions from simulations, and the se ...

    STTR Phase I 2017 Department of DefenseNavy
  5. Graphical Speech Recognition Tool

    SBC: BCL Technologies            Topic: N17AT010

    BCL proposes developing a Graphical Speech Recognition Tool (GSRT) that will allow Navy Training Operators and Developers to customize Automatic Speech Recognition (ASR) Systems to their scenarios within minutes and without the need for external support. In addition, the GSRT System will have a Train the Speaker module that will allow users to familiarize themselves with the ASR System so that the ...

    STTR Phase I 2017 Department of DefenseNavy
  6. 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
  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. 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. 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 Navys ASW strategy, but the complexity of the ASW domain necessitates time-consuming training, and practical experiences to transfer those skills to the operational environment. An innovative training appro ...

    STTR Phase I 2017 Department of DefenseNavy
  10. Video and Audio Data Extraction for Retrieval, Ranking, and Recapitulation

    SBC: ONAI INC.            Topic: N17AT021

    We propose a multi-part system to process, understand, and summarize video streams. Our approach involves processing video and audio jointly; uses the latest advances in captioning and automatic speech-recognition to construct text narratives for the video; and uses NLP techniques to summarize and produce a reliable relevance ranking of these videos. We address all six technical challenges identif ...

    STTR Phase I 2017 Department of DefenseNavy
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