REPORT: Analytics Whitepaper
We’re pleased to announce a new whitepaper on publishing analytics: Stop Measuring What’s Easy. This comprehensive guide explores trends in usage and peer review reporting through the lens of the current...


The Silverchair AI Lab is an innovative experimentation space where we can bring prototypes to our clients quickly, testing their effectiveness and ensuring they are helping publishers achieve their goals, from improving user experience to protecting the value of content in an evolving knowledge ecosystem. The AI Lab transforms experimentation into production-ready solutions through a collaborative methodology that puts publishers in control of their AI journey. Working in hands-on environments, publishing teams can test models, tune parameters, and simulate real-world workflows before committing to production—an approach that has already driven real market successes from ScholarOne to the Silverchair Platform.
Read more about these offerings and follow our progress via blog updates below.

Agentic search pathways
The Discovery Bridge enables researchers to access scholarly content directly through AI assistants while preserving subscription boundaries and institutional access controls. Leveraging Model Context Protocol (MCP), agentic AI assistants can search scholarly content by way of users’ natural language queries, providing seamless access to the full-text content directly within existing AI workflows. By integrating with existing entitlement systems, the Discovery Bridge not only extends the value of publisher content to existing users, but also unlocks new future revenue opportunities through consumption-based licensing and corporate content bundles
Find What Matters, Faster
Dynamic Discovery transforms how researchers connect with scholarly content on the Silverchair Platform. It delivers more relevant results more quickly while strengthening publishers’ brands and showcasing the full value of their collections. Built on advanced RAG (retrieval-augmented generation) technology, Dynamic Discovery understands researchers’ questions in context. Instead of relying on perfect keywords, users can ask questions naturally and receive the most relevant articles, books, and conference papers with clear explanations of why each source was selected.

Editorial efficiency & integrity
The ScholarOne Editor AI Console helps editorial teams screen manuscripts more efficiently, delivering tailored summaries of methodology, ethical considerations, and publication readiness that reflect what matters most to their editorial community. Complete prompt transparency and control means you understand exactly how AI supports your editorial process, ensuring each journal’s unique standards guide the analysis.
Evaluate & Experiment, Together
Silverchair has expanded our successful AI Playground to ScholarOne Manuscripts for active experimentation with editors and publishers. We’re working directly with a select group of development partners to explore areas of potential AI support that are most impactful for editors and editorial office staff throughout the publishing process. This user-friendly environment allows publishers and editors to discover, stress-test, and hone when and where to leverage AI in their workflows and informs Silverchair’s future product development.
We’re pleased to announce a new whitepaper on publishing analytics: Stop Measuring What’s Easy. This comprehensive guide explores trends in usage and peer review reporting through the lens of the current...
(Charlottesville, VA) July 21, 2026 – Silverchair announced two complementary advancements to the editor experience within ScholarOne Manuscripts: the continued rollout of ScholarOne Gateway with new Editor dashboards and the...
In the latest Publishing Tech Trends Report from Silverchair and Hum, industry leaders offered their insights on how the most interesting tech/AI experiments they’ve seen in scholarly publishing in the last...
The final event in our spring 2026 Platform Strategies Webinar Series brought together a publisher, a librarian, and a technologist to work through a question that’s moved from speculative to...
There is significant energy in the scholarly publishing industry right now around Model Context Protocol (MCP). Publishers are exploring it, societies are being pitched on it, and a growing number of...
Working Without a Rubric Before I worked in scholarly publishing, I taught high school physics. Imagine you assign an open-ended project with very few instructions. As students start turning in work, you realize they...
When we launched the 2026 Platform Strategies Webinar Series, we built it around a question that’s been gaining urgency across scholarly publishing: as the definition of “end user” expands to...
Model Context Protocol has quickly become one of the most consequential topics in AI — and it’s landing squarely in the middle of scholarly publishing’s biggest strategic questions. This curated...
When we launched the 2026 Platform Strategies Webinar Series earlier this year, we framed it around a question that’s been reverberating across our industry: what does it really mean to...
(Charlottesville, VA) February 10, 2026 – Silverchair, the leading independent technology partner for scholarly publishers, announced the launch of the Discovery Bridge, leveraging Model Context Protocol (MCP) to connect end-users...
How AI is Transforming Platform Strategy: Watch Silverchair CTO Stuart Leitch’s 2025 Platform Strategies talk about how AI is revolutionizing software development. As models become increasingly capable in domains like mathematics and programming, humans may be writing only a small fraction of code at progressive companies within five years. On publishing platforms, AI is transforming user experiences through enhanced workflows, discovery tools, and new capabilities, while also disrupting traditional traffic patterns as users rely on AI agents to search and synthesize research literature. This dual-sided AI transformation—affecting both platform development and user interaction—raises fundamental questions about the future positioning of scholarly publishing platforms.