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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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Small Molecule Therapeutics Targeting Members of the Bunyavirales Order
SBC: ZYMERON CORPORATION Topic: CBD212006Bunyaviruses are the largest family of viruses, which composed of more than 300 of members, several family members including Hantaan virus, Sin Nombre virus Rift Valley Fever virus, Severe Fever with Thrombocytopenia Syndrome virus, and Crimean-Congo Hemorrhagic Fever virus are posing significant threats to the warfighters (and civilians as well). Unfortunately, there are no vaccines for human use ...
SBIR Phase I 2022 Department of DefenseOffice for Chemical and Biological Defense -
Handheld Photoacoustic Chemical Agent and Toxic Industrial Material Detector
SBC: MANNING APPLIED TECHNOLOGY Topic: CBD05112Manning Applied Technology proposes to develop a handheld infrared spectrometer, ideally suited to detection of airborne chemical agents at and below permissible exposure limits. This approach offers unmatched sensitivity and specificity for detection of all types of chemical vapors. The instrument is modular, rugged, compact and highly sensitive. Volume pricing will be less than $1000 each. ...
SBIR Phase I 2005 Department of DefenseOffice for Chemical and Biological Defense -
Critical Data Processing for Chemical Warfare Simulant Field Testing- Advanced Data Fusion
SBC: Torch Technologies, Inc. Topic: CBD05110To properly measure (and understand) the performance of a standoff detector, properties of the challenge cloud must be known. Meteorological models, such as HPAC and VLSTRACK, have proven to be reasonably good tools for predicting cloud properties. However, a problem with these tools is that they deliver ensemble averages and may not describe a specific cloud to the detail required. The Dugway ...
SBIR Phase I 2005 Department of DefenseOffice for Chemical and Biological Defense
