Case Study: Eisai achieves faster, citation-backed scientific research with Causaly

Eisai saves 53–59% on literature review tasks with Causaly

Eisai, a global pharmaceutical company focused on oncology and neurology, faced significant challenges in its R&D process. Its research teams struggled with fragmented workflows, spending hours manually searching across multiple platforms like PubMed and internal databases. This sequential, expert-dependent process slowed hypothesis formation, target prioritization, and the connection of mechanistic data, creating inefficiencies and potential blind spots in their scientific evidence gathering.

Causaly provided a unified scientific intelligence platform that transformed Eisai's research workflow. The solution enabled rapid, citation-transparent literature search, accelerated hypothesis and target discovery, and consolidated mechanism-of-action and toxicity analysis. As a result, Eisai reported time savings of 53-59% on literature review tasks, eliminated ramp-up time for exploring new domains, and established Causaly as the primary starting point for deep, evidence-backed research, leading to organic expansion within the company.

Eisai