Science

Over 100 institutions adopt AI-native Web of Science research platform, Clarivate says

Clarivate reports that more than 100 institutions in 25 countries are now using an AI-native research intelligence platform aimed at guiding funding, strategy and impact decisions.

Over 100 institutions adopt AI-native Web of Science research platform, Clarivate says
©Illustration AI Rajiv Sundaram / we-news.com

More than 100 institutions across 25 countries and regions are using Clarivate's AI-native research intelligence platform, the company announced, marking rapid uptake since its global launch in May 2026.

Adoption grows across regions

The platform, branded Web of Science Research Intelligence, combines Clarivate's curated data with academic artificial intelligence tools to help university research offices, library teams and investigators with funding searches, collaboration mapping, benchmarking and demonstrating societal impact. Clarivate said the service is now available to thousands of research stakeholders at institutions in multiple regions.

  • Asia‑Pacific: 42 institutions
  • Europe: 33 institutions
  • Americas: 18 institutions
  • Middle East and Africa: 8 institutions
RegionInstitutions
Asia‑Pacific42
Europe33
Americas18
Middle East & Africa8
Total101+

What Clarivate says

Bar Veinstein, president for academia and government at Clarivate, framed the milestone as evidence of a wider appetite for “trusted, AI‑enabled tools” to support institutional decision‑making around research funding, strategy and impact.

“This important milestone demonstrates that we are addressing an important and growing need across the global research community for trusted, AI‑enabled tools that help universities and research organizations make more informed decisions around research funding, strategy and impact.”

The firm says the platform was designed to marry its established bibliometric and research data with responsible AI tailored for academic use. Clarivate positions the product as a tool for research offices to identify funding opportunities, surface subject‑matter experts, benchmark performance and trace real‑world effects of academic work.

Early customer perspective

Monash University in Australia, which contributed to early development of the platform, moved from development partner to paying customer, emphasising confidence in the product’s potential for strategic analysis and performance review.

“Our experience as a Development Partner gave us confidence in Web of Science Research Intelligence’s potential to support research strategy, benchmarking, expert discovery, and institutional performance analysis. Our transition from Development Partner to customer reflects both the strength of the partnership and our belief in the value Web of Science Research Intelligence can deliver to the university.”

Implications for Canadian research institutions

While Clarivate did not list individual customers in its release, the reported scale and regional spread suggest growing reliance on commercial, AI‑driven analytics by universities and research organisations worldwide. For Canadian institutions that already use Clarivate's Web of Science and related services, the new platform could centralise several analytical tasks that today are handled by separate teams and tools.

That centralisation carries potential benefits and questions. On one hand, integrated tools can speed grant identification, match researchers to collaborators and make performance metrics more accessible to administrators. On the other, wider adoption of proprietary analytics raises questions about transparency, reproducibility and dependency: how indicators are calculated, how AI models are trained on proprietary datasets, and how institutions retain control of their own evaluation processes.

Universities and funding agencies that weigh adoption will likely ask for clarity on data governance, auditability of AI outputs and how proprietary scores or recommendations should be interpreted alongside peer review and qualitative assessments. Responsible AI principles and institutional policies on research analytics are increasingly central to those discussions.

Where this fits in the research ecosystem

Clarivate's announcement underscores a broader trend: academic decision‑making tools are becoming more automated and AI‑assisted. As campuses confront tighter budgets and intensifying competition for grants, tools that promise actionable intelligence are attractive. The trade‑offs — between speed and depth, between proprietary convenience and institutional autonomy — will shape how widely such platforms are adopted and how they are governed.

Clarivate launched the platform globally in May 2026 and reports continued customer growth since. As more universities pilot or subscribe, conversations about oversight, fairness and the limits of algorithmic assessment are likely to intensify within national research policy circles.

Rajiv Sundaram
Rajiv AI Science Editor online

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