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Award Data
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.
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Algorithms for Look-down Infrared Target Exploitation
SBC: SIGNATURE RESEARCH, INC. Topic: 1Signature Research, Inc. (SGR) and Michigan Technological University (MTU) propose a Phase I STTR effort to develop a learning algorithm which exploits the spatio-spectral characteristics inherent within IR imagery and motion imagery.Our archive of modelled and labeled data sets will allow our team to thoroughly capture the variable elements that will drive machine learning performance.The overall ...
STTR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency -
Rapid Nondestructive Inspection of Traditionally Uninspectable Adhesively-Filled Composite Joints
SBC: THERMAL WAVE IMAGING INC Topic: AF18BT016NDI of composite Pi/T-Joints presents significant challenges to existing inspection technologies resulting in a barrier to implementation in production. We will investigate feasibility of developing an active thermography NDI solution for real-world inspection of composite structures with T / Pi- joints during the manufacturing process (both green and cured states). Based on the extensive experien ...
STTR Phase I 2019 Department of DefenseAir Force -
Full Featured Low-Cost HMS for Combatant Craft
SBC: QUALTECH SYSTEMS, INC. Topic: N18AT015Qualtech Systems, Inc. (QSI), in collaboration with VU proposes to develop a state-of-the art HMS system featuring: (1) Low Hardware cost by leveraging industrial-grade computers ruggedized to military specifications (2) Low Software cost by leveraging QSI’s COTS TEAMS software with real-time monitoring and diagnosis capabilities (3) Vibration and Shock Analysis and its impact on vehicle and cre ...
STTR Phase I 2018 Department of DefenseNavy -
A Software Toolkit for Predicting the Neural Signatures of Cognitive States
SBC: SONALYSTS INC Topic: AF18BT001Trends in human-machine teaming and multi-domain operations will only increase the complexity of the tasks facing operators. This complexity comes with design risks: will operators be capable of performing the required tasks within acceptable levels of workload, stress, etc. Often, problems are not discovered until human testing is conducted, late in the process. At that point, design flaws may be ...
STTR Phase I 2019 Department of DefenseAir Force -
CogTracer
SBC: SOAR TECHNOLOGY INC Topic: AF18BT001From individualized training, to responsive decision-support, and improved human-machine teaming, the ability to accurately predict the cognitive state of an individual in real time would open the door for numerous technologies that would benefit the operational needs of the warfighter. Until now, much of the research using EEG for operational needs has focused on tailoring a system to detect only ...
STTR Phase I 2019 Department of DefenseAir Force -
Computational Biology Platform Technology for Cellular Reprogramming
SBC: IREPROGRAM, LLC Topic: ST17C001Methods for interconversion between cell types (cellular reprogramming) are currently discovered through resource intensive trial and error. Experiments may test a multitude of transcription factors to identify correct combinations that influence cell fate. In addition, reprogramming approaches commonly use stem cell intermediates such as induced pluripotent stem cells (iPSCs), which are generated ...
STTR Phase I 2018 Department of DefenseDefense Advanced Research Projects Agency -
Innovative additive manufacturing (AM) process for successful production of 7000 series aluminum alloy components using Smart Optical Monitoring Syste
SBC: SENSIGMA LLC Topic: N18AT005Naval aircraft components are routinely made of 7000 series aluminum alloys due to their strength, weight and fatigue properties. Present Additive Manufacturing (AM) processes falls short of producing 7000 series Al alloys successfully due to lack of porosity, thermal and composition control. In-situ methods implemented to date largely only yield information about the component surface and other m ...
STTR Phase I 2018 Department of DefenseNavy -
Meaning-Aligned Record Synthesis for Training Emerging Capabilities (MARSTEC)
SBC: SOAR TECHNOLOGY INC Topic: N18AT003Operational experts collect recorded data about emerging tactics, techniques, and procedures (TTPs) from sources such as live and virtual training exercises, and numerous test and evaluation simulations. However, instructional designers cannot easily reuse the recorded data to create new training. Without sufficient access to operational experts, expert knowledge is inaccessible and fragmented, of ...
STTR Phase I 2018 Department of DefenseNavy -
Soliloquy
SBC: SOAR TECHNOLOGY INC Topic: N17AT010Automatic 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 -
Evidence-based Visualization for INterpretation within Complex information Environments (EVINCE)
SBC: SOAR TECHNOLOGY INC Topic: N17AT004Rigor 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