Research Solutions, a leading provider of SaaS and AI-powered scientific research tools, announces the largest deal in company history: an enterprise Scite agreement valued at $1 million with a Fortune 500 biopharmaceutical company. The agreement expands the customer's longstanding Article Galaxy relationship with a full enterprise deployment of Scite across all of its research groups, giving both its researchers and its internal tools access to Scite's Smart Citations and scientific literature search.
Built For How Large Pharma Deploys AI
Large R&D organizations are building new systems for evidence-based literature search, mechanism-of-action research, patent landscaping, and pharmacovigilance. Those systems are only as reliable as the sources they can read and cite. General-purpose models have limited coverage of scholarly content, can hallucinate citations, and cannot tell a supported finding from a contested one. Scite addresses each of these at the infrastructure level.
"Every large R&D organization we talk to is rebuilding their search and discovery tools, and every one of them has the same problem: their AI agents need trusted access to the scientific literature," said Roy W. Olivier, President and Chief Executive Officer of Research Solutions. "This agreement is the largest in our history, and it is not a one-off. It reflects demand we are seeing across our pipeline from companies that need to ground their systems in real evidence."
The agreement followed a months-long enterprise evaluation, which included live demonstrations, a technical trial, and reviews by procurement, legal, information security, technical architecture, and the customer's AI governance function, culminating in executive approval. The agreement covers an enterprise rollout of the Scite platform and full Scite API access with additional Scite datasets. These products allow the organization's internal tools to search and evaluate peer-reviewed literature, cite the evidence behind an answer, check the veracity of claims, and retrieve licensed full text through existing entitlements within the workflows the organization already runs.