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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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Signal Amplification of Nonextractive Immunoassay
SBC: Fayette Environmental Services, Inc Topic: N/AN/A
SBIR Phase II 1997 Environmental Protection Agency -
Practical Detection of Food Borne Pathogens Utilizing Biochemically Stable Bacteriophage
SBC: MICROBE INOTECH LABORATORIES, INC. Topic: N/AThe proposed program will isolate bacteriophage that demonstrate sensitivity and specificity for rapid detection of specific pathogens in foods. Current food pathogen test kits for E. coli and Salmonella that are antibody based require 18-24 hours to complete. Food processors need rapid test kits to optimize inventory management, reduce recalls and keep pace with government regulations. A preli ...
SBIR Phase II 1997 Department of Agriculture -
Elastomeric Composite Bumpers
SBC: PRODUCTION PRODUCTS MANUFACTURING & SALES CO., INC. Topic: N/AProduction Products proposes to design and develop novel marine impact bumpers for dual use military/commercial markets using highly abrasion resistant and damage tolerant elastomeric matrix composites developed by Naval Surface Warfare Center Carderock Division (NSWC-CD). We will build upon extensive research/development that has already been performed by the Naval community in fender/bumper des ...
SBIR Phase II 1997 Department of DefenseNavy -
Synthesis and testing of a new class of heparinoids
SBC: RELIABLE BIOPHARMACEUTICAL CORPORATION Topic: N/AN/A
SBIR Phase II 1997 Department of Health and Human Services -
HYBRID NEURAL NETWORK ALGORITHMS FOR THE RECOGNITION AND CLASSIFICATION OF WEAK TEMPORAL SIGNALS
SBC: VAN HOUTEN TECHNOLOGIES, INC. Topic: N/ANeural networks as well as classical transformation techniques have been successful in the field of static pattern recognition. However, the problem of reliably detecting and recognizing weak, temporally varying signals remains a challenge. New techniques are needed to detect and recognize conventional signal types within a dense, dynamically, changing, interference environment. Given their succ ...
SBIR Phase II 1997 Department of DefenseNavy
