You are here
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.
-
Millimeter Wave Imaging with High-Electron-Mobility Transistors
SBC: NANOHMICS INC Topic: CBD22BT001The proposed effort will employ an array of broadband (W band) antennas, integrated with high-speed (subnanosecond) GaN HEMTs in an array, to detect potential threats to military personnel. The system will be low SWaP, low-cost, and will detect a NETD of 3 degrees or less, from at least 15 meters, with a pixel resolution of < 10 cm. Millimeter wave imaging has been shown to be a useful tool in the ...
STTR Phase I 2023 Department of DefenseOffice for Chemical and Biological Defense -
Oligonucleotide-directed, multiplexed assembly of QD-LED arrays
SBC: NANOHMICS INC Topic: HR0011ST2022D01A host of new integrated optics and photonics technologies and applications stand to benefit from transitioning the successes of lithographic patterning and vacuum thin film deposition to mass-producible, large-area conformable optoelectronic device manufacturing. However, present methods for large-area device manufacturing such as displays have severe limitations when serial patterning of each ...
STTR Phase I 2022 Department of DefenseDefense Advanced Research Projects Agency -
SHELL
SBC: Overmatch, Inc. Topic: SOCOM22DST01Bottom line up front: The next-generation operator requires an effective, immersive training platform supporting haptic force feedback and natural real-time representations of operational environments. Problem: Current operator training equipment lacks realism and accuracy for effective immersion of field scenarios. Training under these circumstances leaves many variables excluded from the operato ...
STTR Phase I 2022 Department of DefenseSpecial Operations Command -
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 -
Thermal Emission Control using Photonic Crystals
SBC: PSQUAREDT LLC Topic: HR001120S001925To achieve the requisite fast, dynamic thermal switching times, we postulate the use of a Photonic Crystal (PC) filament operating at l=1-2mm. Our electrically biased PC design will be super thin to allow for fast on-off intensity-switching. It will have a small thermal mass and exhibit laser-like input-output characteristics, i.e. “Planck laser”. We will provide a theoretical framework for ou ...
STTR Phase I 2021 Department of DefenseDefense Advanced Research Projects Agency -
Large Low-mass Achromatic Metalenses for Visible Imaging
SBC: NANOHMICS INC Topic: HR001119S003524Nanohmics, teaming with CUNY, proposes to develop high-performance, metamaterial-based lenses that can be scaled up to tens of centimeters of clear aperture for ISR and other imaging applications. These high-throughput achromatic metalenses will operate across all visible wavelengths, 400-700 nm, demonstrating polarization-independent, low-aberration f/2 imaging comparable to much bulkier conventi ...
STTR Phase I 2020 Department of DefenseDefense Advanced Research Projects Agency -
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 -
Products for Fabrication of Atomically Precise Strongly Correlated Materials
SBC: ZYVEX LABS, LLC Topic: ST17C002This STTR will develop atomically precise fabrication and measurement technology that will enable a new experimental regime to study the physics of strongly correlated quantum systems.The fabrication techniques are based primarily on Hydrogen Depassivation Lithography (HDL) which uses Scanning Tunneling Microscope technology to create atomically precise patterns of H on a Si (100) 2x1 surface in a ...
STTR Phase I 2018 Department of DefenseDefense Advanced Research Projects Agency -
Circulating Diagnostic Markers of Infectious Disease
SBC: PATHOVACS INCORPORATED Topic: CBD18A001The focus of this STTR phase I component is on proof-of-concept studies demonstrating applicability of technical approaches for identificationof circulatory diagnostic markers for infectious disease. Therefore, the primary objective of this project is to determine feasibility of one suchtechnical approach called Proteomics-based Expression Library Screening (PELS), for identification of pathogen-d ...
STTR Phase I 2018 Department of DefenseOffice for Chemical and Biological Defense -
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