You are here

Award Data

For best search results, use the search terms first and then apply the filters
Reset

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.

  1. Biphase Extended Release Tablet Formulation for Nerve Agent Pretreatment

    SBC: ZYMERON CORP            Topic: CBD181004

    Nerve agents exert their toxic effect by binding to and inactivating enzyme acetylcholinesterase, a key enzymatic regulator of cholinergic neurotransmission. The binding becomes irreversible after a varying amount of time with nerve agents and this aging process limits the treatment window of oxime reactivators. To enhance the current antidote treatment of nerve agent autoinjectors, a pyridostigmi ...

    SBIR Phase I 2019 Department of DefenseOffice for Chemical and Biological Defense
  2. Handheld Photoacoustic Chemical Agent and Toxic Industrial Material Detector

    SBC: MANNING APPLIED TECHNOLOGY            Topic: CBD05112

    Manning 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
  3. Critical Data Processing for Chemical Warfare Simulant Field Testing- Advanced Data Fusion

    SBC: Torch Technologies, Inc.            Topic: CBD05110

    To 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
US Flag An Official Website of the United States Government