Vyasa Analytics's asset
Vyasa Analytics

@vyasa.com

Easily connect your data into a single platform regardless of file structure or storage location with the power of Vyasa Layar.

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About

Description

Vyasa Analytics is a groundbreaking brand that offers an AI-powered platform to integrate and analyze data across various sources. With their flagship product, Vyasa Layar, users can easily connect their data into a single platform, regardless of the file structure or storage location. Through intuitive deep learning applications, Vyasa empowers organizations to explore and derive valuable insights from their data.


Vyasa Layar leverages advanced deep learning techniques to create an intelligent data fabric that allows users to unify their data across silos, irrespective of the file type. This revolutionary approach enables users to uncover hidden insights that drive innovation and have a positive impact in sectors such as healthcare, life sciences, higher education, private business, and the public sector. With Vyasa Layar, users can connect to both cloud and on-premise data sources, creating a unified data platform.


This platform can be seamlessly explored through low code, deep learning applications, unlocking the full potential of the data. The suite of apps offered by Vyasa include dynamic knowledge graphs, data fabric management tools, smart spreadsheet analysis, and real-time dashboard monitoring. Vyasa's solutions are tailored for various industries, such as healthcare, life sciences, higher education, business intelligence, and state & local governments.


Their AI-powered platform helps organizations gain insights, track consumer experiences, evaluate competition, and create breakthrough products and discoveries. Experience the power of Vyasa Analytics today and accelerate your organization's insights with their innovative data integration and analysis solutions. Contact Vyasa to learn more and unleash the true potential of your data

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Company Type

Privately Held

Company Size

11-50

Year Founded

2016

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