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Award Data
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.
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Embedded Sensors for Flight Test (Every Aircraft a Test Aircraft)
SBC: NEXTGEN AERONAUTICS, INC. Topic: AF14AT01Increasing system capabilities in terms of weapon systems, ISR payloads, GNC, etc., enabled by smaller and more capable electronics systems have led to a trend for overall size reduction in military aircraft. This has resulted in a reduction in the avail...
STTR Phase II 2016 Department of DefenseAir Force -
ENHANCING MOTION IMAGERY CLASSIFIERS BY PRINCIPAL COMPONENT FEATURE CLUSTERING
SBC: LONGSHORTWAY INC. Topic: AF15AT35LongShortWay Inc. and Northeastern University propose a family of feature reduction and ensemble classifier methods based on Principal Component and Dynamic Logic feature clustering algorithms. New methods combine feature clustering with non-linear feature reduction via manifold learning, and bagging, boosting, and stacking ensemble algorithms.
STTR Phase II 2016 Department of DefenseAir Force -
Environmentally-Compliant Kinetic Metallization Coating Materials for Corrosion and Wear Protection of Military Aircraft and Weapon Systems
SBC: INNOVATIVE TECHNOLOGY INC Topic: AF15AT31Coating materials and coating methods used to protect U.S. military aircraft and weapon systems from corrosion and wear are in need of environmentally benign alternatives in order to keep up with dynamic regulations associated with environment, safety, and occupational health. Thus, the Air Force is supporting research to develop alternatives to the dangerous materials identified on the OSD Emergi ...
STTR Phase II 2016 Department of DefenseAir Force -
EX-SCAN: Autonomous Inspection System for Aircraft Surface Coatings
SBC: Intelligent Automation, Inc. Topic: AF14AT09Current methods for inspecting the external surfaces of low-observable (LO) aircraft are time consuming and error prone. Technology that can reduce inspection times and minimize human error will benefit the Air Force by increasing assessment reliability and aircraft availability while reducing maintenance costs. To address this need, Intelligent Automation (IAI) and Carnegie Mellon University (CMU ...
STTR Phase II 2016 Department of DefenseAir Force -
Flexible Sensor Network and Its Embedded Integrated Circuits for Structural Health Monitoring
SBC: ACELLENT TECHNOLOGIES INC Topic: AF16AT03Structural Health Monitoring (SHM) can be reliably used to perform on-line health monitoring of any type of structures with minimal human involvement. Current SHM systems can perform the functions required but are heavy, bulky and difficult to integrate with the structure to provide on-board real-time structural integrity assessment. Embedding of currently available sensors and electronics used by ...
STTR Phase II 2018 Department of DefenseAir Force -
GeSn High-Performance IR Detectors and Emitters
SBC: APIC CORPORATION Topic: AF16AT28Tensile-strained germanium tin structures will be developed for infrared emitters and detectors that are compatible with silicon fabrication processes.Optical detectors in the wavelength range of 2-5 microns will be developed by using GeSn on silicon ...
STTR Phase I 2016 Department of DefenseAir Force -
HASLOC: Hierarchical And-Or Structures forLocalization and Object Recognition
SBC: Intelligent Automation, Inc. Topic: AF18AT014Target detection and recognition is a challenging problem because of changes in appearance, viewing direction, occlusion and other covariates. Systems that can accurately and efficiently detect and track objects can provide several benefits in surveillance, monitoring and other applications. As part of this effort, we propose to develop a robust learning-based approach to detect, track and recogni ...
STTR Phase I 2018 Department of DefenseAir Force -
Heterogeneous Data Discovery Using Deep Neural Networks
SBC: KickView Corporation Topic: AF16AT12Improving feature extraction, event detection, and target classification in multi-sensor systems requires new mathematical methods and processing techniques. In addition, previous research and experience suggests that leveraging sensor data that has not experienced significant dimensionality reduction can preserve subtle features when processed jointly with other relevant data. However, traditiona ...
STTR Phase I 2016 Department of DefenseAir Force -
Higher Order Mesh Generation for Simulation of Complex Systems
SBC: HYPERCOMP INC Topic: AF14AT07In this program, HyPerComp and University of Michigan have teamedtogether to develop a high-order grid generator for Euler and viscousmeshes. The grid generator is based on HyPerComps successful generalpurpose CAD2Mesh software and is being integrated with HyPerCompsHDphysics and U. Michigans XFlow DG high-order solvers. High-order gridgeneration methods are being implemented to accurately capture ...
STTR Phase II 2016 Department of DefenseAir Force -
Highly-mobile Autonomous Rapidly Relocatable Integrated Electro-optical Resources (HARRIER)
SBC: EXOANALYTIC SOLUTIONS INC Topic: AF16AT05ExoAnalytic Solutions, teamed with Texas A&M University, will develop Highly-mobile Autonomous Rapidly Relocatable Integrated Electro-optical Resources (HARRIER) with the goal being to design and demonstrate tracking of resident space objects (RSOs) in n...
STTR Phase I 2016 Department of DefenseAir Force