Layar is a secure, highly scalable data fabric platform built specifically for deep learning AI analytics.

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Vyasa Layar is a deep learning Data Fabric technology that combines the power of state-of-the-art deep learning algorithms with the ability to access your data from across your storage architecture. Layar is a secure and scalable solution that offers a full suite of reusable data services, pipelines, and APIs designed to provide your company with an elegant and sophisticated software to glean insights from your data.

Layar’s innovative Data Fabric technology enables companies to streamline the complexities of leveraging disparate data types without having to move, reformat, or modify files. Your data stays in its original location, but the Layar deep learning Data Fabric can access the information within your files to create emergent, powerful, and pervasive business insights.

Learn about the products Layar powers.

Features & Benefits


Layar has been designed to leverage novel deep learning neural networks that provide significant advantages to addressing complex natural language processing (NLP) challenges. Our software has demonstrated an outstanding ability to maneuver question answer capabilities in both context-free and contextual long form text, which is instrumental to its success in retrieving data.

Why is this important? Traditional NLP algorithms use rule sets and ontologies to explicitly identify the word “sharp” in text, whereas Layar’s deep learning text analytics use the context of the word to differentiate between its various uses and meanings. “Sharp” is no longer just “sharp” — it can mean “pointy”, “keen”, “musically off pitch”, etc.

Applied broadly, the text analytics capabilities of Layar can be leveraged to understand the meaning behind a question asked by a user, and apply this logic to efficiently scan large volumes of text corpora to highlight pertinent data. Additionally, Layar can leverage this ability to identify novel terms or phrases that may emerge as language evolves (ie, “sharp” is also a compliment for someone dressing well). Trying to leverage this same capability with traditional NLP algorithms may take months to discover, and would require a significant contribution of time and resources.

Finally, deep learning models with the ability to ascertain subtleties in natural language require substantial computational power for pre-training and ingestion of novel texts, which can be expensive if a company attempts to build and train algorithms from scratch. With Layar’s hybrid GPU/CPU architecture and GPU Smart Switching capability, deep learning training and model utilization runs seamlessly and efficiently. We have over a decade of deep learning expertise available to design and deploy deep learning analytic software, and we are proud of the level of intelligence and power baked into this product.


We’ve paid considerable attention to how the Data Fabric addresses data storage, linear scalability, metadata distribution, and the interconnectivity that supports the scale and consistency of data present within each instance. We have not designed Layar as a multi-tenant application, which means users can feel secure knowing that their data is not shared with other organizations, as each company is hosted on entirely separate servers. We do not index documents, and users acquire insights exclusively from the data they are authorized to view.

At Vyasa, we have a significant focus on maintaining security protection, backup, and disaster recovery protocols consistently across our stack, and our infrastructure is built to implement further security measures for clients in strictly regulated industries, such as healthcare. As a result, organizations are able to enforce any additional security and risk management policies already integrated into their stack. Their data remains unchanged within its regulatory ecosystem, and your company can pivot uninterrupted while others attempt to catch up with evolving regulations.


Vyasa Layar Data Fabric technology has been designed to allow for seamless and expansive additions to new or evolving datasets.Whether your data is measured in gigabytes or petabytes, Layar leverages containerization and clustering technology to ensure seamless and efficient scaling. We also offer access to the Layar Data Catalog, an ever-growing list of Layar data sources, each pre-modeled and fine-tuned to continuously adapt and evolve with the data.

The National Institute for Health and Care Excellence (NICE)PubMed AbstractsPubMed Central (PMC) Open AccessClinicalTrialsUS Patent Office (USPTO)

Learn more about our readily available databases within the Layar Data Catalog.

Layar systems are also compatible with dynamic data streams. Each Layar instance can be configured to incorporate streaming data sources from Twitter and RSS feeds, offering near real-time processing of incoming data.


We understand that no two enterprise stacks are the same, which is why we offer several Layar-backed products that can be interconnected and flexibly deployed based on each client’s needs and existing infrastructure.

Deployability. Layar solutions allow for dynamic resource allocation from pooled compute, network and storage resources, whether on-prem or in the cloud, with a seamless time to deployment and fast time to value. Layar is compatible with a variety of deployment configurations, and we offer support from our experienced engineers and solution architects, who can advise you on the appropriate deployment option for your needs.

Modularity. Our product portfolio offers several applications for modular customization. We have two powerful products for text and image analytics, which come with a user interface and backed by Layar’s infrastructure. We also provide Layar’s suite of API’s, which offers access to the full range of Vyasa’s deep learning analytical module library. Finally, we offer the Layar engine service itself, should you want to deploy Layar as an on-prem installation, strictly for the powerful Data Fabric architecture it possesses.

Interested in Using Layar? Learn more about our Layar products.

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