Vyasa Analytics

Vyasa Analytics operates as a specialized provider of a deep learning and analytics platform tailored for life sciences and healthcare organizations. Founded in 2016 by Dr. Christopher Bouton, the company was established to apply advanced AI to solve complex data challenges in the biopharmaceutical sector. Dr. Bouton, who holds a Ph.D. in Molecular Neurobiology from Johns Hopkins University, is a serial entrepreneur in the big data and AI space. His journey includes working as a computational biologist, leading integrative data mining at Pfizer, and founding Entagen, another data analytics firm that was acquired by Thomson Reuters in 2013. This extensive background in both molecular biology and large-scale data analysis directly shaped Vyasa's mission.

The company's business is centered on helping clients, primarily in the pharmaceutical and healthcare industries, to unify and analyze vast amounts of siloed data. Vyasa addresses the challenge that a significant portion of an organization's data is unstructured and difficult to access, such as text in PDFs, images, and notes. Its core business model involves providing software and services that create a unified data fabric, allowing for advanced analytics without extensive data warehousing efforts. In December 2022, Vyasa Analytics was acquired by Certara, a global leader in biosimulation, for $29.3M, and now operates as a subsidiary.

Vyasa's main offering is a suite of deep learning products. The flagship product, Layar, is a highly scalable data fabric platform that connects disparate data sources, whether structured or unstructured. Building on Layar, the company offers several applications: Cortex provides an intuitive interface for users to build and manage these data fabrics. Axon enables the dynamic creation of knowledge graphs from the integrated data, while Retina is designed for deep learning image analytics, including management and annotation. Another tool, Synapse, functions as a smart spreadsheet for data exploration. These tools collectively allow organizations to perform complex queries, uncover novel insights, and accelerate research and business intelligence tasks.

Keywords: deep learning analytics, life sciences data, healthcare analytics, data fabric, unstructured data analysis, Christopher Bouton, Certara, knowledge graph, biomedical information, pharmaceutical R&D, enterprise AI, data integration, text analytics, image analytics, computational biology, biosimulation, drug discovery, clinical data analysis, data silo integration, Neural Concept Recognition