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Vyasa Adds Real-Time Dashboards to Layar Data Fabric

New application interface provides advanced visualization for identifying trends and anomalies across your data.

Note: TDWI’s editors carefully choose vendor-issued press releases about new or upgraded products and services. We have edited and/or condensed this release to highlight key features but make no claims as to the accuracy of the vendor's statements.

Vyasa, a provider of highly scalable deep learning A.I. analytics software for healthcare, life sciences, and business applications, has introduced its latest application interface, Signal. Featuring an intuitive design, Signal enables users to monitor trends and identify anomalies in their Layar data fabric through highly visual charts and graphs, delivered in a single dashboard. 

According to industry analysts, between 80 and 90 percent of organizational data created today is unstructured. Although rich in insight, the complexity of this data makes it increasingly difficult to analyze efficiently, requiring many to rely on manual processes to find the information they need. Vyasa leverages proprietary deep learning models to accelerate this process, allowing users to search and identify insights from their data via its Layar intelligent data fabric. Signal is the latest application interface developed by Vyasa to make this data easy to analyze in low code.

Users of Signal can:: 

  • Visualize term usage and frequency in your data via line, bar, and pie charts
  • Monitor terms and concepts of interest across multiple cloud and on-premises data sources without having to move or replicate files
  • Discover common concepts that relate to your terms of interest
  • Identify emerging terms and trends with named entity recognition
  • Receive real-time alerts to events occurring in your data
  • Filter charts and graphs to receive dynamic results for comparisons and reporting
  • Query across multiple data sources and file types

“Today’s organizations face significant data accessibility challenges, from content being stored across multiple silos to managing various structured and unstructured file formats to outdated processes for collecting and analyzing data that are time and resource intensive,” said Vyasa founder and CEO, Dr. Christopher Bouton. “We’re developing deep learning technologies to address this issue, and Signal is the latest example of that. Now users can quickly access the insights they need in charts and graphs that are familiar and easy to analyze without having to worry about finding the data or having the technical acumen to develop a code or query to collect the information they’re seeking.”

Signal is being used across a variety of industries to help users to monitor trends, identify needs in the market, discover emerging technologies, and streamline competitor intelligence. It joins Vyasa’s suite of deep learning applications powered by its Layar data fabric, including Axon dynamic knowledge graph capability, Cortex data fabric creation and management, Synapse “smart table” technology, and Retina image management and analysis. Vyasa can be deployed on premises or in the cloud as a fully containerized application.

Access a free trial of Vyasa’s suite of deep learning applications at  For more information, visit

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