Zendy launches risk-free precision AI discovery for libraries

Oxford, UK — June, 2026 — Zendy announced the launch of Zendy AI Discovery, a new solution designed to simplify academic research by removing slow, complex processes that rely heavily on manual filtering, keyword precision, and time-consuming article comparison. As a publisher-agnostic solution, it eliminates the need to switch between multiple AI tools limited to specific publishers, creating a more seamless research experience. According to initial trial results, Zendy AI Discovery can reduce research time significantly.

Faster Than Traditional Research

Zendy AI Discovery works as a research partner that understands what a user is looking for. By providing a clear guided experience, the tool can reduce the time spent looking for relevant materials by up to 80%.

Zendy AI Discovery acts as an expert AI layer over an institution’s existing discovery services and trusted resources. It works within current platforms to provide intelligent guidance and context that traditional search results often lack. This approach ensures that users can find the right content faster while the institution maintains full control over its proprietary data.

Quick Integration, Clear Results

Zendy AI Discovery is publisher-agnostic and works with various discovery providers and link resolvers like LibKey, SFX, Alma/Primo, EBSCO Discovery Service (EDS), WorldCat Discovery, Summon and more

The tool is built for easy adoption, requiring only a few lines of script to get started without changing existing infrastructure or workflows. Once active, institutions often see database usage increase by 30–70%. By making content more discoverable and easier to digest through Zendy AI Discovery, librarians drive higher usage rates across the entire digital library, helping them get more value from their current subscriptions.

Advanced Deep Research Capabilities

A core component of Zendy AI Discovery is its deep research feature, which uses a systematic review framework to automatically analyze and compare multiple research articles, books, and journals. The system evaluates each study against standardized criteria (including objectives, methodology, data sources, and key findings)using a structured comparison model. By performing critical quality assessments and cross-study synthesis, the platform uncovers patterns, inconsistencies, and research gaps to deliver an evidence-driven understanding of any topic.

Supporting Research Integrity

Zendy AI Discovery has recently launched a new AI agent that integrates data from Retraction Watch to help identify retracted articles during the research process and clearly eliminate them from the results, enabling researchers to make more informed decisions and strengthening trust in AI-assisted discovery. 

Full Control and Customization for Institutions

One of the core features of the Zendy AI Discovery is the Zendy Admin Portal. This gives library teams the ability to:

• Shape AI Behavior: Admins can adjust the tone and depth of the AI agents to match the needs of their specific institution.
• Maintain Content Security: The AI works as an expert layer over existing services, meaning there is no need to hand over or store proprietary data.
• Match Branding: The interface is fully customizable with theme editor, allowing it to fit into the look and feel of any host website.

Empowering Publishers with Greater Visibility and Impact

Zendy AI Discovery creates new opportunities for publishers by increasing the visibility, discoverability, and usage of their content. By enabling researchers to search, explore, and engage with scholarly literature through natural language queries and AI-powered insights, Zendy AI Discovery surfaces relevant content that might otherwise remain undiscovered, driving greater readership, citation potential, and research impact. At the same time, Zendy AI Discovery maintains a strong commitment to responsible AI and publisher rights, directing users back to original sources and supporting sustainable scholarly publishing ecosystems