Clarivate Plc (NYSE: CLVT) has announced a significant milestone in the global rollout of its Web of Science Research Intelligence platform. Since its launch in May 2026, the AI-native research intelligence platform has been adopted by more than 100 institutions across 25 countries and regions. This rapid adoption highlights a growing global demand for advanced, AI-enabled tools designed to support institutional decision-making across funding, strategy, and impact.

The platform represents a shift toward integrating artificial intelligence directly into the workflows of research offices, researchers, and library teams. By combining curated data with responsible academic AI, Clarivate aims to address the complex challenges faced by modern universities and research organizations.

Core Capabilities and Data Foundation

At the core of Web of Science Research Intelligence is its foundation on publisher-neutral Web of Science Core Collection data. This data has long been recognized as the global standard for bibliometric analysis. By building upon this trusted dataset, the platform ensures that the insights generated are grounded in verified, high-quality academic records.

The platform is designed to assist institutions in several key areas:

  • Securing funding through targeted insights and expert discovery.
  • Strengthening collaboration across different departments and external partners.
  • Informing institutional strategy with data-driven performance analysis.
  • Demonstrating real-world impact to stakeholders and funding bodies.

By bringing these capabilities together, the platform allows research offices to streamline their operations. Rather than relying on disparate tools for benchmarking, expert discovery, and performance analysis, users can access these functions within a single, integrated environment.

Institutional Perspectives and Development Partnerships

The development of Web of Science Research Intelligence was highly collaborative. Prior to its launch in May 2026, the platform was shaped by more than 50 development partners and early adopters across 20 countries. This close partnership with the academic community ensured that the tool was designed to meet the practical needs of research administrators and librarians.

Monash University in Australia was one of the key development partners that transitioned to becoming a customer. Kathleen Smeaton, Director, Collections and Technology at Monash University, highlighted the value of this collaborative process. Smeaton noted that their experience as a Development Partner gave them confidence in the platform's potential to support research strategy, benchmarking, expert discovery, and institutional performance analysis. The transition from partner to customer reflects the strength of the partnership and the university's belief in the value the platform delivers.

Strategic Implications for Global Higher Education

The rapid adoption of the platform across 25 countries and regions underscores a broader trend in higher education: the need for trusted, AI-enabled tools to navigate an increasingly competitive research landscape. As funding becomes more competitive and institutions are under greater pressure to demonstrate the real-world impact of their research, the role of research intelligence has become critical.

The ongoing engagement with customers continues to inform the evolution of the platform, ensuring that it adapts to the changing needs of the academic community. As more institutions adopt AI-native solutions, the integration of responsible academic AI with trusted bibliometric data is likely to become the standard for research management worldwide.