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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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Novel Method for Renewable JP10 Production
SBC: Technology Holding, LLC Topic: N23AT015Currently, all JP10 is produced from fossil sources. The objective of the proposed project is to develop a scalable synthetic approach to producing JP-10 that meets military specification, MIL-DTL-87107E from non-fossil sustainable energy resources. During phase I, we will define, develop, and perform initial laboratory assessment of the proposed synthetic process to validate the technical feasi ...
STTR Phase I 2023 Department of DefenseNavy -
A Massively Parallel Scalable Processor for Order of Magnitude Increase in Acceleration of Photonic Simulations
SBC: VIRTUAL EM INC. Topic: N23AT008Virtual EM proposes develop a massively parallel ASIC for orders of mangnitude speed up of electromagnetic simulations of thin optical lenses made of metamaterials. The ASIC will implement a prorietary algorithm and will deliver scalable run-times that cut the simulation time by more than 1000x compared to today's state-of-the-art simulators.
STTR Phase I 2023 Department of DefenseNavy -
Innovative Method for Development of Hemp based Fabric
SBC: Technology Holding, LLC Topic: N21AT001Hemp-based clothing are excellent for outdoor active wear, due to high strength, UV-protective qualities, mold resistance, and excellent moisture absorption and desorption. While academic research on hemp-based textiles in the US is increasing, it has naturally also become an area of interest to competing countries. Specifically, China is outperforming the US in hemp fiber technological advanceme ...
STTR Phase I 2021 Department of DefenseNavy -
P21-184 Wisdom: Wing Instruction Spatial Disorientation Outcome Measure
SBC: SOAR TECHNOLOGY INC Topic: N22AT005Spatial disorientation (SD) continues to be a pervasive fatal event for military aviators and has a wide range of causes and facets. As a result there is no singular measure of SD that can be used to quantify occurrence or opportunity for SD or its causal factors. To meet this challenge, the SoarTech team proposes to leverage its SD modeling research to develop WISDOM – the Wing Instruction Sp ...
STTR Phase I 2022 Department of DefenseNavy -
ADEPT
SBC: SOAR TECHNOLOGY INC Topic: N21BT024The Naval Aviation Training Systems and Ranges program office (PMA-205) operates in data-rich information system environments, generating substantial volumes of data throughout its training and operational missions. These datasets can prove extremely useful in identifying performance trends of trainees or operational gaps in aviation assets. Due to sheer magnitude, sifting and analyzing of these d ...
STTR Phase I 2021 Department of DefenseNavy -
Steerable, Directional Antennas to Increase Small Mobile Platform Communication Range
SBC: IMSAR LLC Topic: N22AT021Traditionally, small platforms that need to communicate with airborne platforms use omnidirectional antennas. This makes it simple to communicate with mobile airborne platforms but reduces the communication link range compared to directional antennas. However, directional antennas require pointing at the airborne platform, which requires a means of moving the antenna to follow the motion of the ai ...
STTR Phase I 2022 Department of DefenseNavy -
Algorithm Performance Evaluation with Low Sample Size
SBC: SIGNATURE RESEARCH, INC. Topic: NGA20C001The team of Signature Research, Inc. and Michigan Technological University will develop and demonstrate methods and metrics to evaluate the performance of machine learning-based computer vision algorithms with low numbers of samples of labeled EO imagery. We will use the existing xView panchromatic dataset to demonstrate a proof-of-concept set of tools. If successful, in Phase II, we will extend t ...
STTR Phase I 2021 Department of DefenseNational Geospatial-Intelligence Agency -
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 -
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 -
Homopolar AC Electric Machines for Naval Applications
SBC: McCoy Consulting, LLC Topic: N19AT007The objective of this proposed effort is to increase the power and torque density of rotating electric machinery for Naval applications by up to 50%. This aggressive goal will be achieved by developing the novel homopolar AC machine (HAM) topology. This relatively un-studied topology relies on solenoidal field and armature coils, making manufacturing simpler than traditional machines. The HAM elim ...
STTR Phase I 2019 Department of DefenseNavy