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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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Fate and Fortune: A Story-Based Algebra Simulator of High Seas Trade
SBC: MIDSCHOOLMATH, LLC Topic: 99190018R0005Purpose: This project team will fully develop and test Fate and Fortune, an online class-wide intervention where grade 8 students learn algebra within a story-based game. Research demonstrates that students who do not succeed in algebra are more likely to eventually drop out of high school. When students begin Algebra I, a lack of conceptually meaning and understanding can be further reinforced by ...
SBIR Phase II 2018 Department of EducationInstitute of Education Sciences -
Formulation and testing of an entirely wood-based exterior insulation board for the high-performance building market
SBC: GO Lab Inc. Topic: 17NCER6BThe goal of this project is the formulation a rigid, insulating, low-density wood composite, with physical and thermal properties comparable to fossil fuel derived foams. _x000D_ _x000D_ To achieve energy conservation standards mandated by certification agencies such as Passive House and LEED, high performance buildings require multiple shells of insulation – an inner shell that contains electri ...
SBIR Phase I 2018 Environmental Protection Agency -
Densely Connected Neural Networks for Remote Sensing
SBC: LYNNTECH INC. Topic: NGA181010The objective of this project is to design a software architecture based on densely-connected neural network to perform automatic targetsegmentation and recognition using training datasets of limited size (low-shot). Deep learning architectures have proved to be extremelyeffective at object detection and recognition, but such capability comes at the cost of having large labeled datasets. Such data ...
SBIR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency -
SLUDGE RECLAMATION USING COUPLED-TRANSPORT MEMBRANES
SBC: BEND RESEARCH, INC. Topic: N/AN/A
SBIR Phase I 1983 Environmental Protection Agency -
CONTAMINATION OF GROUNDWATER BY TRICHLOROETHYLENE AND OTHER VOLATILE HALOGENATED SOLVENTS REPRESENTS A SERIOUS THREAT TO THE NATION'S DRINKING WATER.
SBC: Photox International Topic: N/ACONTAMINATION OF GROUNDWATER BY TRICHLOROETHYLENE AND OTHER VOLATILE HALOGENATED SOLVENTS REPRESENTS A SERIOUS THREAT TO THE NATION'S DRINKING WATER. CURRENT TREATMENT TECHNIQUES FOR CONTROLLING SUCH CONTAMINATION ARE LIMITED TO AERATION, ADSORPTION, AND LINKING. A PROMISING ALTERNATIVE IS PHOTOCHEMICAL OXIDATION, BUT THIS PROCESS IS AS YET UNOPTIMIZED, POORLY UNDERSTOOD, AND LARGELY LIMITED. PHOT ...
SBIR Phase I 1983 Environmental Protection Agency