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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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Real-Time Health Management Portable Sensor for Solid Rocket Motors
SBC: PHYSICAL SCIENCES INC. Topic: MDA14T004Physical Sciences Inc. (PSI) proposes to design, develop, and demonstrate a portable, non-invasive, real-time sensor to assess the chemical and physical health of solid rocket motors as a function of age without affecting the motors integrity nor having direct contact with the propellant. In Phase II, a sensor to monitor specific gas species that are markers of the chemical and mechanical aging pr ...
STTR Phase II 2016 Department of DefenseMissile Defense Agency -
STTR Phase II: A Novel Abdominal Stimulator to Assist with Ventilator Weaning in Patients
SBC: LIBERATE MEDICAL LLC Topic: BMThe broader impact/commercial potential of this Small Business Technology Transfer (STTR) Phase II project, in which a non-invasive respiratory muscle stimulation device and approach to weaning patients from mechanical ventilation will be developed, is a reduction in public health care expenditure and a reduction in morbidity for the half a million patients who have difficulty weaning from mechani ...
STTR Phase II 2016 National Science Foundation -
Adaptive Management and Mitigation of Uncertainty in Fusion (AMMUF)
SBC: CHARLES RIVER ANALYTICS, INC. Topic: MDA13T001In our Adaptive Management and Mitigation of Uncertainty in Fusion (AMMUF) project, we will model the entire multi-sensor fusion process as a probabilistic model and reason about the different design and algorithmic decisions that can be made by system engineers. This fusion model will use standard fusion system representations and ideas from statistical relational learning field to create flexibl ...
STTR Phase II 2015 Department of DefenseMissile Defense Agency -
Uncertainty Characterization Using Copulas (UC)2
SBC: BOSTON FUSION CORP Topic: MDA13T001Boston Fusion, together with our teammate Syracuse University, propose a program of research and development, Uncertainty Characterization Using Copulas (UC)2, that will result in a parametric framework based on the statistical theory of copulas for modeling uncertainties for the problem of object classification. (UC)2 will produce a mathematical framework, founded on rigorous theoretical analysis ...
STTR Phase II 2015 Department of DefenseMissile Defense Agency