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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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Hybrid NDI Technology for Rapid Inspection of Large Aircraft
SBC: RADIATION MONITORING DEVICES, INC. Topic: AF151158ABSTRACT: The United States Air Force has over 3000 active combat aircraft in operation. Maintenance of these aircraft is an integral part in keeping the fleet operational. Defects greatly impact the stability and integrity of the aircraft and can directly affect its performance. Since most of these defects and fractures occur beneath the skin on the plane, visual inspection is insufficient. Eddy ...
SBIR Phase I 2015 Department of DefenseAir Force -
Multi-Layer Deep Structure NDI
SBC: Innovative Materials Testing Technologies, Inc. Topic: AF151159ABSTRACT: An innovative NDI method, General Remote Field Eddy Current (GRFEC) method, is proposed for aircraft multi-layer deep structure NDI. GRFEC method is characterized by its deep penetration and high sensitivity features in multi-layer and complex deep structure NDI. The outstanding features have been proved by the AFRL validation/evaluation programs and published at 2014 AA&S Conference and ...
SBIR Phase I 2015 Department of DefenseAir Force -
Non-Destructive Inspection Data Capture
SBC: Anautics, Inc. Topic: AF151162ABSTRACT: An organizational culture that promotes problem solving is necessary for success in any organization. Nondestructive Inspection (NDI) is the inspection of a structure or component in any manner that will not impair its future usefulness. The purpose of the inspection may be to detect flaws, measure geometric characteristics, determine material structure or composition, or it may characte ...
SBIR Phase I 2015 Department of DefenseAir Force -
Non-Destructive Inspection Data Capture
SBC: ETEGENT TECHNOLOGIES, LTD. Topic: AF151162ABSTRACT: Etegents goal is to improve the process of NDI data capture by first improving the existing pen and paper process while at the same time laying the foundation for digital entry and analysis. We will first document the current process and learn where optimizations can be made. We will then use that knowledge to improve the format and content of the existing data capture forms. This will i ...
SBIR Phase I 2015 Department of DefenseAir Force -
Tunable High Refractive Index Polymer Hybrids for IR Optical Components
SBC: PHYSICAL SCIENCES INC. Topic: AF151003ABSTRACT:Physical Sciences Inc. will design and produce a tunable high refractive index polymer composite by dispersing precise amounts of high refractive index nanocrystals into a novel sulfur-rich polymer. This proposed technology will yield a base polymer with a refractive index eta > or = 1.8 and IR transparency (alpha
SBIR Phase I 2015 Department of DefenseAir Force -
Additively Manufactured Hypersonic Models with Embedded Instrumentation
SBC: LUNA INNOVATIONS INCORPORATED Topic: AF151004ABSTRACT:Luna and MLPC are proposing to develop an innovative fabrication technique that embeds optical sensing fiber into an additively manufactured hypersonic test bed. Hypersonic testing of vehicles currently being performed in wind tunnels provides researchers with limited test data.Characterizing the complex phenomena under various replicated flight conditions can be an expensive and difficul ...
SBIR Phase I 2015 Department of DefenseAir Force -
HiDyVE: Hierarchical Dynamic Video Exploitation
SBC: KITWARE INC Topic: AF151042ABSTRACT:Current full motion video (FMV) toolchains fall short of supporting semantically meaningful archive search for specific objects or object types. We propose the Hierarchical Dynamic Vision Exploitation system (HiDyVE), an end-to-end system for content-based object location and retrieval in operational FMV. HiDyVE combines convolutional neural networks (CNNs) specifically adapted to FMV's q ...
SBIR Phase I 2015 Department of DefenseAir Force -
Hierarchical Dynamic Exploitation of FMV (HiDEF) through the use of Video Learning for Analysis from Deep Embeddings
SBC: Commonwealth Computer Research Inc Topic: AF151042ABSTRACT:Recent advances in in machine learning have dramatically increased the state of the art in related tasks, such as image recognition and machine translation. Most of this progress has centered around families of neural network algorithms that are broadly called deep learning. It is believed that there is a significant opportunity to apply these breakthroughs in image, text, and video proce ...
SBIR Phase I 2015 Department of DefenseAir Force -
Normality Modeling and Change Detection for Space Situational Awareness (SSA)
SBC: APPLIED DEFENSE SOLUTIONS, INC. Topic: AF151049ABSTRACT:Applied Defense Solutions (ADS) has embarked upon a new approach to data correlation and aggregation. The ADS Hierarchical Reasoning Tool (HRT) provides a set of unique signatures for automatically recognizing and classifying a resident space object (RSO). Here, we seek to leverage hierarchical reasoning to provide innovative and automated analysis capabilities that capture and learn the ...
SBIR Phase I 2015 Department of DefenseAir Force -
Activity Learning and Inferencing for Space Situational Awareness (ALISSA)
SBC: BOSTON FUSION CORP Topic: AF151049ABSTRACT:Establishing timely, accurate, and comprehensive Space Situation Awareness (SSA) requires analytic methods that put into context the information drawn from multiple data sources. A vital feature of an SSA system is the capability to predict, and understand, space-based activities that might threaten our satellites. The Activity Learning and Inferencing for Space Situational Awareness (ALI ...
SBIR Phase I 2015 Department of DefenseAir Force