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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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Easy-to-use, Autonomous Bin-picking and Assembly Operations for the Manufacturing Industry
SBC: Robotic Materials Inc. Topic: NoneWe will develop a series of object manipulation primitives to pick up and assemble standard mechanical parts such as screws, gears and pulleys that can be configured without any programming skills. Building up on a smart robotic gripper, 3D perception and machine learning algorithms, we will design a graphical user interface for the Universal Robot E-Series that allows an user to label arbitrary 3 ...
SBIR Phase I 2019 Department of CommerceNational Institute of Standards and Technology -
Large-Area, High-Uniformity Photodiodes for Infrared Trap Detectors
SBC: AMETHYST RESEARCH INC Topic: 9020168Rmethyst Research Inc. will design, fabricate and test a high uniformity, large area, low noise infrared trap-detector detector for the 1- 4.5 μm wavelength range. This state of the art detector will have a large area (e.g., 1-1.8 cm diameter active area) with a spatial variability of internal quantum efficiency of less than 0.1 % between 1 μm and 4.5 μm. In addition, the internal quantum effici ...
SBIR Phase I 2015 Department of CommerceNational Institute of Standards and Technology -
Category-Theoretic Tool for Manufacturing-related Information Integration
SBC: CATEGORICAL INFORMATICS, INC. Topic: 9010173RCategorical theory has recently been successfully applied to translate information from one computer system to another. Researchers at MIT have developed a prototype software tool based on category theory for solving information-integration programs. The tool has successfully solved small-scale information-integration problems including a problem identified by NIST about enriching the manufacturin ...
SBIR Phase I 2015 Department of CommerceNational Institute of Standards and Technology