Clarivate Unveils Nexus Connect for AI Access to University Resources
Clarivate has introduced Nexus Connect, an institutional AI gateway designed to connect university resources and services directly into major AI chat agents such as ChatGPT and Claude. The company announced the launch in a press release, describing the tool as part of its Academic AI Platform.
Nexus Connect uses the Model Context Protocol, an open standard that allows AI chat agents to access external data sources and tools. The platform provides students and researchers with entitlement-based access to their university’s licensed content and services from within their chat environment. It also enables libraries to maintain control over which services are exposed and how content sources are prioritized.
The system integrates with existing Clarivate products such as Alma and Primo, allowing users to search library materials, manage loans, and access full texts without leaving their AI chat session. Early adopters include five universities across North America and the Asia-Pacific region, with a broader early access program scheduled for July 2026.
Nexus Connect follows Clarivate’s earlier release of Nexus Extend, a browser-based academic assistant. Together, these tools are part of Clarivate’s strategy to embed trusted academic resources into AI environments while maintaining institutional security and privacy standards.
We hope you enjoyed this article
Consider subscribing to one of our newsletters like AI in Education or Daily AI Brief.
Also, consider following us on social media:
More from AI in Education
Oct 15 RTL Analysis Finds Signs of AI Authorship in 59% of Dutch Master's Theses Oct 15 UWorld Adds AI Exam Proctoring to Nursing Platform Oct 14 University of Maryland Plans Marketing Master's With AI Curriculum Oct 14 EdResearch Australia Outlines AI Priorities for School Policymakers Oct 14 Preply appoints data science and people executivesAI in Education
Weekly newsletter about AI in education. Covers AI-driven software for educators, schools, general innovations and regulatory updates.
Whitepaper
Tensordyne Napier: What If One Rack Could Do the Work of Nine?
Tensordyne
This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.
Read moreYou may also like
IgniteUps.ai Launches NEXUS to Coordinate Dealership AI Agents
Nuix Introduces Governed Generative AI Framework
OpenAI Introduces Astra for Law With Legal Search and Firm Controls
HG Insights Launches Contextual Intelligence Platform
Pluralsight launches AI MCP for learning in AI tools
Daily AI Brief: the AI news that matters, in your inbox.