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Award Data
The Award database is continually updated throughout the year. As a result, data for FY22 is not expected to be complete until September, 2023.
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.
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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 -
Adaptive and Smart Materials for Advanced Manufacturing Methods
SBC: NEXTGEN AERONAUTICS, INC. Topic: AF17AT018Additive manufacturing (AM) technologies covering a broad range of technologies and processes have been under continuous and accelerating development since the 80s. While there are still fundamental hurdles such as low production rates and small sizes, AM holds tremendous promise in terms of revolutionizing manufacturing. Recent trends include direct-printing and incorporating sensors and electr ...
STTR Phase I 2017 Department of DefenseAir Force -
A Multiphysics Framework Utilizing Nonlinear Material Models for Predicting Impact of Structural Profile Disruption on High-Velocity Air Vehicles
SBC: ATA ENGINEERING, INC. Topic: AF17AT025The aerothermal environment for hypersonic flight vehicles is severe and can generate extremely high material temperatures. These high-temperature environments can cause intense localized heating, which may result in local pockets and/or structural instabilities, especially at vehicle leading-edge regions, and may lead to disruptions that affect vehicle performance. The aerothermal environment may ...
STTR Phase I 2017 Department of DefenseAir Force -
Prediction of Rotor Loads from Fuselage Sensors for Improved Structural Modeling and Fatigue Life Calculation
SBC: ATA ENGINEERING, INC. Topic: N17AT009ATA Engineering and researchers at the Georgia Institute of Technology will develop a framework for the accurate reconstruction of rotor loads from a suite of fixed-frame fuselage sensors that are utilized to augment physics-based simulations. The loads reconstruction framework will consist of two modules: the physics module, which provides first-principles predictions from simulations, and the se ...
STTR Phase I 2017 Department of DefenseNavy -
Robust Classification through Deep Learning and Dynamic Multi-Entity Bayesian Reasoning
SBC: EXOANALYTIC SOLUTIONS INC Topic: MDA15T001Missile defense faces the challenges of rapidly maturing and evolving complex threats, possessing capabilities which require the use of all available resources to successfully detect, track and identify the lethal objects. Future performance will rely on multiple sensors such as ground and sea based radars and electro-optical and infrared sensors for target recognition. It is crucial to develop a ...
STTR Phase I 2016 Department of DefenseMissile Defense Agency -
Highly-mobile Autonomous Rapidly Relocatable Integrated Electro-optical Resources (HARRIER)
SBC: EXOANALYTIC SOLUTIONS INC Topic: AF16AT05ExoAnalytic Solutions, teamed with Texas A&M University and Georgia Institute of Technology, 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 near-geosynchronous orbit (GEO) using a rapidly-constructed low-cost ground based electro-optic (EO) sensor wit ...
STTR Phase II 2017 Department of DefenseAir Force -
Deep Learning with Whole-Scene Contextual Reasoning for Target Characterization
SBC: EXOANALYTIC SOLUTIONS INC Topic: MDA15T001ExoAnalytic Solutions is developing DEEPR (Deep Learning with Whole-Scene Contextual Reasoning for Object Characterization), an advanced multi-sensor multi-object classifier for integrated object characterization. The overall objective of DEEPR is to develop a suite of advanced, novel techniques that combine innovative advances in deep, hierarchical machine learning together with recurrent Deep L ...
STTR Phase II 2017 Department of DefenseMissile Defense Agency -
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