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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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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 -
Additive Manufacturing for Naval Aviation Battery Applications
SBC: STORAGENERGY TECHNOLOGIES INC Topic: N18AT008Storagenergy Technologies Inc. proposes to develop an all solid-state battery (ASSB) which can be made by a high-speed AMtechnology.
STTR Phase I 2018 Department of DefenseNavy -
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 -
Twiner
SBC: SOAR TECHNOLOGY INC Topic: N18AT019We currently lack the ability to holistically and autonomously look across all three layers of cyberspace (persona, logical and physical) and identify interesting patterns, which would give us an edge in understanding complex activities in and through cyberspace. To address this challenge, Soar Technology (SoarTech) and the GeorgiaTech Research Institute (GTRI) propose Twiner, an intelligent syste ...
STTR Phase I 2018 Department of DefenseNavy -
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 -
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 -
Reduction of Predictable Spurs in the ADC outputs using AI
SBC: VIRTUAL EM INC. Topic: N20AT025An AI-based algorithm is being proposed to increase ADC linearity by 10dB. Neural Nets will be investigated in conjunction with models of spurs to accomplish the task.
STTR Phase I 2020 Department of DefenseNavy -
Advanced Electromagnetic Modeling with High Geometric Fidelity Using High-Order Curved Elements
SBC: VIRTUAL EM INC. Topic: N20BT028Virtual EM is proposing a method to achieve orders of magnitude improvement in computational efficiency in full-wave CEM codes by using high-order curved elements. Virtual EM’s own commercial product VirAntenn™ will provide the CEM setting for both developing and implementing the new capability in Phase I and Phase II, respectively. Using multi-wavelength long cells with high-order basis forms ...
STTR Phase I 2020 Department of DefenseNavy