AI can be a powerful tool in drug development, discovery

Professionals knee-deep in drug discovery and development usually have a wealth of data at their fingertips. The question of how to make the most effective and efficient use of the available data is another matter entirely.

Outsourcing-Pharma recently connected with Ajay Khanna, CEO and founder of Tellius, to discuss how advanced analytical tools like artificial intelligence (AI) can be put to work, to help make the best possible use of data.

OSP: Could you please share the ‘elevator presentation’ description of Tellius?

AK: Tellius is an AI-powered analytics and decision intelligence platform that enables anyone, regardless of analytical skills, to quickly ask and answer ‘what’, ‘why’, and ‘how’-type questions of their granular enterprise data in order to make better, faster decisions.

Tellius accelerates the journey to insights-driven decision making by providing a dual analytics engine that combines a natural language query interface built on a columnar search engine with machine learning capabilities. The platform allows for AI- and ML-driven automation that augments human analysis by analyzing billions of records and identifying automated insights such as trend drivers, root cause analysis, and anomaly detection.

Our platform is the only one capable of allowing you to essentially search your data for insights—asking questions such as, “Why were sales down in Q4?” and getting automated visualized answers to help you make valuable business decisions.

Tellius was founded in 2016, has raised $17m+ USD in venture capital, and has three of the top 10 global life science firms as customers, as well as several large CPG firms, multinational banks, and eCommerce and startups seeking to augment analytical capabilities and go beyond static dashboards.


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