Our technology enables a unique conversation with biomedical data.

This dialogue is driven by human interaction which can accelerate meaningful discoveries.

Even among billions of biomedical data points, our customers remain at the center of the conversation.

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What’s a Knowledge Map?

Biomedicine is composed of information and data that describe billions of individual entities, such as diseases, genes, chemicals, publications, trials, etc. In our platform, these are housed in a type of database known as a knowledge graph. Our AI Research Assistant permits exploration of the knowledge graph, and allows users to create individual Knowledge Maps that reflect the relevant entities and relationships specific to a set of initial queries.


Our platform is not a black box of algorithms. We use AI as a tool to simply ease the burden of information gathering, where the life science professional is in full command of the technology.

Continued interaction creates a dynamic conversation, between the user, data and documents, that helps to surface relevant information and reveal hidden connections.

The AI Research Assistant empowers users to harness their skills in a way that augments their research efforts, providing real insight, not purely machine-driven recommendations.

A Dynamic Dialogue

Many different technologies are used to create Knowledge Maps, such as deep learning models for information extraction and retrieval, network analysis, and symbolic AI. When combined, these technologies provide the foundation for true research intelligence.

Knowledge Maps are entirely different from “search”. They are iterative tools that permit users to more effectively explore biomedical entities and focus on the key relationships among the causes, diagnosis and treatment of disease.

The knowledge journey

In biomedicine, no two inquiries are the same, and every user brings their own knowledge and goals to a particular problem. Our technology acts as a guide and it is the interaction between the user and our platform that engenders a serendipitous journey of discovery.

We help to answer difficult questions, and our technology enables this in a manner that is efficient and often surprising.

The Epistemic AI platform is an important journey. It provides a way to easily validate any hypothesis while saving time and critical resources.

Pratip Chattopadhyay, PhD, Former Director, Applied Immunology Core, NYU Langone