Both avid readers, the duo envisioned an intelligent technology that could read “at superhuman speed,” extract knowledge including cause-effect evidence, capture the essence of that knowledge, and communicate the learnings with a level of clarity and integrity that would meet the standards of the world’s leading scientists. Meanwhile, the demand for precision medicine was growing and the pace of drug discovery lagged, putting pressure on researchers and pharmaceutical companies to find innovative treatments for patients faster. In this gap, the founders' vision crystalized: Their AI innovation would serve as an “operating system” for biomedical data.

Today, Causaly is a global team comprised of industry experts, technology visionaries and research scientists. The company’s headquarters are in London with offices in New York and Greece. The Causaly AI platform helps scientists quickly and easily absorb biomedical knowledge and causal relationships across the overwhelmingly siloed and disparate landscape of human health data locked up in tens of millions of scientific publications, databases, and across enterprise clients’ own internal information.