You are here
The Award database is continually updated throughout the year. As a result, data for FY23 is not expected to be complete until September, 2024.
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.
SBC: QUINC.TECH INC. Topic: AF18AT001
The Biomagnetics Micro Dosimetry System (BMDS) program will design, model, and simulate a microdosimetry system that can measure and create a three dimensional map of weak radiofrequency signals in biological organisms. The heart of the BMDS project is the front end called a Quinc, that delivers very sensitive, broad band measurements with high spatial resolution.The Quinc based front end is a val ...STTR Phase I 2018 Department of DefenseAir Force
SBC: Metalenz Inc. Topic: AF18AT005
Metasurfaces are a fascinating new direction for producing small form factor optical elements that can be directly integrated with a variety of sensors and illumination sources. Metasurfaces have received extensive attention for their potential applications in imaging optics as they enable significantly more compact camera modules with enhanced functionality and because the unit processes to creat ...STTR Phase I 2018 Department of DefenseAir Force
SBC: OCEANIT LABORATORIES INC Topic: AF18AT001
Oceanit proposes to develop a system to characterize weak electromagnetic fields for the investigation of the effect of both thermal and non-thermal RF/magnetic fields on biological material, and to detect resulting biological impact of the energy deposited.STTR Phase I 2018 Department of DefenseAir Force
SBC: APPLIED DEFENSE SOLUTIONS, INC. Topic: AF17CT02
This is a prototype system that will take raw observation data, detect and characterize maneuvers, and use reinforcement learning to understand and react to evasive RSO behaviors in near real time. This will provide a framework to evaluate autonomous behavior strategies, such a safety, effectiveness, and robustness to manipulation. This work will enable surveillance operators to distinguish betwee ...STTR Phase I 2018 Department of DefenseAir Force