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The Award database is continually updated throughout the year. As a result, data for FY23 is not expected to be complete until September, 2024.
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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: JAN BIOTECH, INC. Topic: A18BT012
The goal is to develop a volatile odor detector using mammalian olfactory receptors (ORs) integrated with metal-oxide-semiconductor (CMOS) nanoelectronic circuits. The Army has urgent need for cost-effective odor sensing for novel biological materials integrated with inorganic devices to sense chemical and biological agents. However, e-noses still do not possess the dynamic range and selectivity o ...STTR Phase I 2019 Department of DefenseArmy
SBC: CORNERSTONE RESEARCH GROUP INC Topic: A18BT023
The prolific nature of Advanced Battlefield and Ground surveillance radar (BSR/GSR) in military markets is driving the need to develop new methods of reducing infantry forces’ radar cross section (RCS) in effort to avoid detection and more freely move throughout the battlespace. One approach to combat the growing threat of BSR/GSR surveillance is through the development of advanced textiles that ...STTR Phase I 2019 Department of DefenseArmy
SBC: 3DFlexible Inc Topic: A17AT024
Recent advances in 3D structure printing and 3D direct printed electronics have widened the scope of possibilities for the Internet of Things (IoT). New near room temperature 3D direct ink writing (DIW) additive manufacturing (AM) printing processes allow many different type of sensors and they can be embedded anywhere in a structure, which offers several benefits. 1. Protection: sensors face degr ...STTR Phase II 2019 Department of DefenseArmy
SBC: KITWARE INC Topic: SOCOM18B001
The Intelligence, Surveillance and Reconnaissance (ISR) analysts have a challenging task to extract useful information from huge volumes of data from various sources like Full Motion Video (FMV), Wide Area Motion Imagery (WAMI), satellite imagery, Synthetic Aperture Radar (SAR), and others. Modern Machine Learning (ML) algorithms based on deep learning have greatly advanced computer vision, speech ...STTR Phase I 2019 Department of DefenseSpecial Operations Command