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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. Vacuum Integrated System for Ion Trapping

    SBC: COLDQUANTA, INC.            Topic: A15AT009

    We propose to develop a compact, integrated ion trap quantum system for quantum sensor, timekeeping, and computing applications. To do so, we leverage ColdQuantas expertise in miniature ultra-high vacuum (UHV) and atom chip technology and Duke Universitys expertise in microfabricated surface ion traps and quantum information processing experiments. We will produce a manufacturable, commercializa ...

    STTR Phase II 2016 Department of DefenseArmy
  2. Hybrid Battery/Supercapacitor Energy Storage Device

    SBC: ADA TECHNOLOGIES, INC.            Topic: A15AT010

    ADA Technologies, Inc. (ADA) and Dr. Massoud Pedram at the University of Southern California (USC) have successfully completed a Phase I STTR effort for the development of a lithium ion (Li-ion)/ supercapacitor hybrid electrical energy storage system (HEESS) to afford pulse power characteristics (projected ~10 kW/kg) in a high energy system (100-150 Wh/kg). The system is enabled via a constant cur ...

    STTR Phase II 2016 Department of DefenseArmy
  3. An Ultra-Compact Low-Power THz Radio SoC with On-Chip Antenna and Energy Harvesting

    SBC: Digital Analog Integration, Inc.            Topic: A15AT005

    There is an unmet demand for ultra-low-power, ultra-compact and low-cost radios to address emerging sensing and communication needs for military and commercial applications such as IoT/IoE. To overcome the limitations in existing bulky and power hungry radios, we propose a disruptive solution by integration of a nano-scaled THz transceiver, on-chip antenna, and energy harvesting circuits in a form ...

    STTR Phase II 2016 Department of DefenseArmy
  4. Embedded Space Analytics

    SBC: INFOBEYOND TECHNOLOGY LLC            Topic: N16AT020

    Navy needs a real-time graph embedding tool for analyzing huge graphs (millions of nodes and billions of edges) from diverse sources. However, current approaches cannot provide dynamic and scalable graph analytics to show the military value of tactical data. In this project, InfoBeyond advocates EStreaming (Embedding & Streaming) for scalable and efficient graph streaming. EStreaming promotes big ...

    STTR Phase I 2016 Department of DefenseNavy
  5. Improved Synthesis and Characterization of New Energetic Compounds

    SBC: TDA RESEARCH, INC.            Topic: N16AT021

    The Navy seeks new energetic and oxidizing ingredients for use in propellant and explosive formulations of modern weapons systems. With recent developments in the design and synthesis of new energetic molecules, we have the opportunity to take the steps needed before these materials can successfully transition to use in next generation propulsion and ordnance systems. TDA Research and the Universi ...

    STTR Phase I 2016 Department of DefenseNavy
  6. Enhancement of Ballistic Missile Defense System Level Simulation Operations Through Multi-core Processing

    SBC: ISSAC Corp            Topic: MDA13T003

    The ISSAC Team propose a novel method to encapsulate legacy models and simulations that allows these components to take advantage of modern, multi-core, multi-processor hardware suites. Encapsulating these legacy codes provides 3 primary advantages to deal with complex systems and systems of systems (Air Force, Navy, Department of Homeland Security (DHS), Federal Emergency Management Agency (FEMA) ...

    STTR Phase II 2016 Department of DefenseMissile Defense Agency
  7. Heterogeneous Data Discovery Using Deep Neural Networks

    SBC: KickView Corporation            Topic: AF16AT12

    Improving feature extraction, event detection, and target classification in multi-sensor systems requires new mathematical methods and processing techniques. In addition, previous research and experience suggests that leveraging sensor data that has not experienced significant dimensionality reduction can preserve subtle features when processed jointly with other relevant data. However, traditiona ...

    STTR Phase I 2016 Department of DefenseAir Force
  8. Impact of Hypersonic Flight Environment on Electro-Optic/Infrared (EO/IR) Sensors

    SBC: Analysis and Applications Associates, Inc.            Topic: AF15AT40

    EO/IR sensors can provide high spatial resolution images using multiple frequency bands ranging from the visible to mid-wave IR. EO/IR sensors have been very successful for terrain imaging from subsonic aircraft and from satellites. Imaging using these platforms has been studied extensively. EO/IR sensors can provide high spatial resolution images using multiple frequency bands ranging from the v ...

    STTR Phase II 2016 Department of DefenseAir Force
  9. Reverberation Mitigation of Speech

    SBC: MINERVA SYSTEMS & TECHNOLOGIES LLC            Topic: AF15AT17

    Automatic speech recognition (ASR) technology is in wide use today and has been successfully integrated into a number of applications. Although there are also many potential applications for automatic speaker identification (SID), SID accuracy rates are generally not sufficient for widespread use in practical applications. For high accuracy ASR and SID, the microphone must be located near the talk ...

    STTR Phase II 2016 Department of DefenseAir Force
  10. Using the Conditional Moment Closure Method to Assess the Effects of Turbulence Chemical Kinetics

    SBC: REACTION SYSTEMS, INC.            Topic: A16AT001

    The ability to accurately design and predict the performance of combustion-based machinery like gas turbine engines is important in improving their performance, increasing their fuel economy, lowering operating costs, and decreasing pollutant emissions. Almost all of the flows are turbulent in industrial combustion applications, therefore understanding the interaction between turbulence and combu ...

    STTR Phase I 2016 Department of DefenseArmy
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