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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)
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A data dictionary and additional information is located on the Data Resource Page. Files are refreshed monthly.
Deep Inference and Fusion Framework Utilizing Supporting Evidence (DIFFUSE)SBC: BOSTON FUSION CORP Topic: MDA15T001
Combining information from disparate sensors can lead to better situational awareness and improved inference performance; unfortunately, traditional multi-sensor fusion cannot capture complex dependencies among different objects in a scene, nor can it exploit context to further boost performance. Integrating context information within a fusion architecture to reason cohesively about scenes of inte ...STTR Phase I 2016 Department of DefenseMissile Defense Agency
Robust Classification through Deep Learning and Dynamic Multi-Entity Bayesian ReasoningSBC: Exoanalytic Solutions, Inc. Topic: MDA15T001
Missile 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
Interactive Sensor Fusion for Context-Aware DiscriminationSBC: OPTO-KNOWLEDGE SYSTEMS INC Topic: MDA15T001
We propose a novel computational framework for discrimination that incorporates sensor data from observations of the engagement and from kill assessment (KA) that such sensors can provide. The KA information is combined with data from other sensors to improve the discrimination decision and to reduce the probability of correlated shots. Approved for Public Release 16-MDA-8620 (1 April 16)STTR Phase I 2016 Department of DefenseMissile Defense Agency
Microelectronics Component Adhesive Selection and Design Rules for Failure AvoidanceSBC: CFD RESEARCH CORPORATION Topic: MDA14T002
Thermally induced fatigue and residual stress introduced during fabrication are sources of failure in microelectronics, which raises reliability concerns for MDA and its system integrators. CFDRC has teamed with experts in the reliability of microelectronics packaging to develop a physics based modeling and testing protocol to correlate material properties and thermal loading conditions to stress ...STTR Phase II 2016 Department of DefenseMissile Defense Agency