Vyasa Cortex is a collaborative data analytics application powered by novel deep learning technologies.

With Cortex, project teams can easily and intuitively add a wide range of data sources and then search, analyze and collaborate on those sources. Neural Concept Recognition technology, specifically built for Cortex, powers set analytics capabilities enabling end users to ask complex questions about concepts of interest in static and streaming data sources. Cortex also enables use of Vyasa's library of deep learning analytical modules related to life sciences, healthcare, image analysis and predictive analytics.

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Vyasa ChemVector

ChemVector is a library of chemistry related deep learning analytics modules available in Cortex. Drag and drop an SDF or CSV file containing SMILES string chemical structures into Cortex and get started with powerful chemistry analytics.  

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Neural Concept Recognition

For Cortex we've built proprietary deep learning technology called "Neural Concept Recognition" that can be trained on types of concepts, learn what mentions of those concept types "look like" and then find novel instances of those concepts in Big Data.

 
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Image Analytics

A key area of paradigm shifting capability for deep learning is in the area of image analytics. Cortex enables a range of deep learning analytics on image sets through simple drag and drop addition to Cortex. Pattern matching, object recognition and segmentation operations are all possible with Cortex.