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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. The Enhanced Navy Simulation of the Extended MBL Environment (ENSEMBLE) Toolkit

    SBC: SPECTRAL SCIENCES INC            Topic: N17AT018

    The recent emergence of many new ocean-transiting military and domestic security threats has led to a growing need within DoD for improved methods for estimating the electromagnetic vulnerability to visual/electro-optical/infrared/radar systems. Accurate characterization of the marine boundary layer (MBL) in the vicinity of naval ships and submarines is critical for input into the electromagnetic ...

    STTR Phase I 2017 Department of DefenseNavy
  3. Development of Explosive Non-Acoustic Sensing on Remotely Operated Vehicles for Littoral Threat Characterization in Complex Seabed Environments

    SBC: White River Technologies Inc            Topic: N17AT015

    White River Technologies proposes this effort involving non-acoustic sensing methods and sensor fusion technologies to detect and characterize man-made objects of interest in littoral environments relevant to expeditionary mine warfare and unexploded ordnance remediation. Current and evolving threats to maritime dominance require the Navy to adapt to potential hazards from a variety of sources, wh ...

    STTR Phase I 2017 Department of DefenseNavy
  4. NavDATA: Navy Data Analytics for Training Advancement

    SBC: APTIMA INC            Topic: N17BT032

    The Navy recognizes the potential for big data to facilitate readiness. Big data analytics present numerous challenges, (1) exacerbated primarily by the evolving nature of Navy tactics. (2) Further, the Navy is not one domain, but many interdependent platforms; each of which must be served by these analytics. (3) Finally, presenting these data effectively to facilitate action presents a third chal ...

    STTR Phase I 2017 Department of DefenseNavy
  5. 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
  6. Evidence-based Visualization for INterpretation within Complex information Environments (EVINCE)

    SBC: SOAR TECHNOLOGY INC            Topic: N17AT004

    Rigor and precision in understanding training design exists within the academic literature of the learning sciences but accessing the state-of-the-art in the learning sciences and applying its lessons to specific requirements questions is a daunting challenge. A requirements analyst may not know where to look or how to interpret and apply the information they find in the academic literature. Train ...

    STTR Phase I 2017 Department of DefenseNavy
  7. Advanced Chemistry and Radiation Modules for Hypersonic Signatures

    SBC: SPECTRAL SCIENCES INC            Topic: MDA15T003

    Karagozian & Case, Inc. (K&C) and the Georgia Institute of Technology (Georgia Tech) will develop a re-usable, cost-effective, and accurate dynamic characterization methodology capable of measuring the dynamic material properties of various materials of interest under very high strain rates. Materials property data for various ductile materials (e.g., steel and aluminum) are required as input to f ...

    STTR Phase I 2017 Department of DefenseMissile Defense Agency
  8. Optimizing Human-Automation Team Workload through a Non-Invasive Detection System

    SBC: SONALYSTS INC            Topic: ST16C003

    In this project, Sonalysts will team with the University of North Dakota to establish the feasibility of a deployable, unobtrusive suite of sensors and data processing approaches collectively known as Cognitively-Oriented Physiological Indicators of Load, Operational performance, and Tension (CO-PILOT). CO-PILOT will provide real-time indicators of operator state that can be used to inform adaptiv ...

    STTR Phase I 2017 Department of DefenseDefense Advanced Research Projects Agency
  9. Automation Support using non-Invasive Measures of Operator Vocalization (ASIMOV)

    SBC: CHARLES RIVER ANALYTICS, INC.            Topic: ST16C003

    Human-machine teams are increasingly prevalent across the DoD. These teams unite human operators with advanced automated teammates to execute complex, mission-critical tasks. Unfortunately, this collaboration between automated and human teammates can increase operator strain, because operators must complete their own tasks while also monitoring teammates and distributing tasks; one specific strain ...

    STTR Phase I 2017 Department of DefenseDefense Advanced Research Projects Agency
  10. BATTLE: Battlefield Airmen Training Technologies for LVC, ground-based Environments

    SBC: APTIMA INC            Topic: AF17AT011

    Effective Live, Virtual, and Constructive (LVC) training methods have been underutilized within ground-based training operations. More specifically, Battlefield Airmen training methods have not fully adopted or incorporated recent advances in augmented reality (AR) technologies into their training due to specialized training requirements. To address this issue, the Aptima team will design and deve ...

    STTR Phase I 2017 Department of DefenseAir Force
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