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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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Dynamic Frequency Passive Millimeter-Wave Radiometer Based on Optical Up-Conversion
SBC: PHASE SENSITIVE INNOVATIONS INC Topic: 941DIn the proposed effort, we will leverage this extensive experience and capabilities to realize a frequency agile mmW radiometer that can cover the range of DC-110 GHz and can be scaled to DC-200 GHz under Phase II. Ours is a photonic system that multiplies and up-coverts a low-frequency reference signal onto an optical carrier (laser) using EO modulation, then uses the modulation sidebands to inj ...
SBIR Phase I 2013 Department of CommerceNational Oceanic and Atmospheric Administration -
Determination of the Onset of Widespread Fatigue Damage
SBC: Qual-x, Inc. Topic: N/AQUAL-X proposes to nondestructively inspect the extensive surface areas of aging commercial airliners for corrosion and fatigue damage. QUAL-X will characterize the above surfaces both at local and global areas of interest using chemical gas penetrants and advanced gas sensor techniques; both of which were developed as an extension of the company's unique and singular experience with the ket gas ...
SBIR Phase I 1996 Department of Transportation -
DIGITAL SIGNAL PROCESSOR (DSP)/NEURAL NET-BASED VEHICLE DETECTOR
SBC: ORINCON Topic: N/AADVANCED COMPUTER-AIDED TECHNIQUES TO DETERMINE VEHICLE CLASS AND SPEED ARE REQUIRED FOR ADVANCED INTELLIGENT VEHICLE HIGHWAY SYSTEM'S APPLICAITONS. ORINCON IS PROPOSING TO DEVELOP A NOVEL SYSTEM ARCHITECTURE USING DIGITAL SIGNAL PROCESSING (DSP) ALGORITHMS IN CONJUNCTION WITH A NEURAL NETWORK CLASSIFIER TO PROCESS DATA FROM EXISTING VEHICLE DETECTION HARDWARE. OUR DESIGN CRITERIA WILLINCLUDE COST ...
SBIR Phase II 1994 Department of Transportation