Layar Software Logo

Intelligent Data Fabric

The majority of organizational data is siloed and in various formats. Layar helps users overcome these challenges by creating a unified data fabric. Fully containerized via a Kubernetes Helm chart, Layar is easy to deploy and features a suite of low code applications for users to operationalize their data.

A graphic shows how Layar’s data fabric can connect to any internal, external, cloud or on-premise data source.

Understanding the
Layar Data Fabric

The engine for data unification lies with a novel data architecture called a data fabric. Vyasa Layar connects to any internal, external, cloud or on-premise data source. The platform’s deep learning models index and analyze any file type, structured or unstructured. You don’t need to migrate data, reconfigure frameworks or change security infrastructure. 

 

 

A graphic shows how Layar’s deep learning models can catalog content relationships.

Layar takes on the largest, most complex data sets. It then goes beyond other data fabric solutions with a set of unique deep learning applications that enhance the exploration and discovery of insights in your data. Layar’s deep learning models climb into any data type, giving you access to not only the file itself, but the rich context of that file as well. 

Data Formats

PDF

PDF

Images

Images

RSS Feeds

RSS Feeds

PowerPoint

Social Media

Social Media

Genomics data

Genomics data

Hand-written notes

Hand-written notes

Online Forums

Online Forums

Web scans

Web scans

Small Compound Structures

Small Compound Structures

Data Sources

Google BigQuery

Google BigQuery

Google Cloud Storage

Google Cloud Storage

Google FHIR Storage

Google FHIR Storage

Google Drive

Google Drive

Amazon S3

Amazon S3

Microsoft Azure

Microsoft Azure

Box

Box

Dell EMC Isilon

Dell EMC Isilon

iRODS

iRODS

Local Files

Local Files

File Systems

File Systems

Neo4j

Neo4j

Snowflake

Snowflake

SQL Database

SQL Database

SAP HANA

SAP HANA

SAP IQ

SAP IQ

Key Features

1. Gain a bird’s eye view of your data

Vyasa Layar generates a bird’s eye view of your data silos, making your data accessible regardless of storage location or file type. No data movement or replication is required.

 

2. Query your data in natural language

Deep learning built within Layar allows you to query your data in natural language to discovery key insights hidden in your content.

 

3. Enhanced data visualization

Vyasa’s suite of applications allows you to visualize the content of your data fabric via low-code interfaces. Users gain access to Axon, Cortex, Synapse and Retina when licensing Vyasa Layar.

 

4. Easily create data fabrics through a simple drag & drop feature

Cortex, an application of Layar, allows users to create, manage and provision access to data fabrics through a simple drag and drop interface.

How Layar Can Work for
Your Organization

Choose where it lives
Layar is fully containerized and can be deployed on-premise or via the cloud behind the user’s firewall.
Integrate with the data fabric
Built-in data connectors automatically link all data sources, for both structured and unstructured content. Layar does not move or replicate the data.
Manage team access
While Layar fosters collaboration, it also protects security and privacy. Administrators can assign appropriate access to individual team members, ensuring the protection of private or proprietary information.
Get a consolidated view
Layar’s interface gives a bird’s-eye view of your data, including where it resides, its metadata properties and its content patterns.
Prepare a project
Develop individual projects by telling Layar which data sets or subject area you want to include. Deep learning analytics automatically adjust for the specific selection. These sessions can be saved for later reference.
Query Your Data in Low-Code

Vyasa’s natural language processing capabilities allow users to explore content in their Layar data fabric through natural language queries. No additional coding required. Users of Vyasa Layar gain access to the full suite of application interfaces including Axon, Cortex, Synapse and Retina.

Identify key information
Constantly updated named-entity recognition (NER) finds critical elements in structured and unstructured data.
Receive prompt answers
Information retrieval for queries takes just milliseconds and highlights relevant content, not just document titles. Easy links allow you to view the full source to assess the evidence.
Provide feedback
Deep learning models built within Layar actively learn from your data and your searches, to continuously improve performance. Users also have the option of quickly validating results for further model retraining.
Put insights and intelligence to work
With time saved and data-related tasks completed, your team can apply new knowledge to core organizational goals. Stay ahead of trends and emerging challenges. Support remote operations. Develop new products. Adjust sales strategies. Monitor competitors. And more.

Use Cases

DON’T MOVE YOUR DATA. UNIFY IT.

It’s never been easier to share, store and replicate data thanks to our increasingly digital working environments. While this scenario has made activities like collaboration and remote work seamless, the deluge of new data produced within organizations is creating strains on IT systems and resulting headaches for the professionals in charge of managing them. Considering […]

Vyasa Cortex

Vyasa Cortex provides a light-weight platform for intuitively building, managing and provisioning access to data fabrics through a highly-visual interface

Layar API

Leverage the power of the Vyasa Layar Deep Learning platform in your applications and workflows. API uses include:

  • Building custom apps
  • Integrating with existing systems, including other deep learning applications
  • Prototyping new ideas

Want to try Layar?

Vyasa is easily deployed via a Kubernetes Helm Chart and is available on the AWS Marketplace, SAP Store and NVIDIA NGC Catalog. Contact us to access a 7-day trial.

 

Vyasa features a suite of application interfaces
for exploring your data fabric.