Product
An AI layer built for scholarly publishing.
ScholarKnowledge sits on top of your existing platform — ingesting your archive, building a semantic knowledge graph, and serving it through modern AI protocols.
Semantic discovery
Find articles by meaning, not keywords — across every issue you've ever published.
Citation-aware answers
Every AI response is grounded in your articles and links back to the source DOI.
Knowledge graph
Authors, institutions, methods, datasets, and references connected into a living map of your field.
Corpus enrichment
Entity, concept, claim, and relationship extraction surfaces what's hidden in decades of content.
MCP, A2A & REST APIs
Modern access protocols so enterprise customers and autonomous agents can build on your archive.
Metered monetization
Token-based consumption billing creates a new revenue stream alongside subscriptions.
Agent-ready
Structured outputs designed for AI-driven research workflows — not just human readers.
Built on trust
Access tiers are respected. Citations are traceable. Provenance and audit logs are default.
Always cite the source
Every answer is traceable back to the original article.
DOI-linked citations
Properly formatted citations with direct DOI links drive traffic back to publisher platforms.
Access control respected
Citation links honor existing access tiers. Subscribers get full text; others see abstracts.
Transparent provenance
Researchers can trace which articles informed each claim — supporting reproducibility.
Discovery engine
Citations surface related content users didn't search for, increasing re-engagement with your archive.
Designed to sit alongside your existing platform — not replace it.
We integrate with hosting platforms, manuscript systems, and identity providers so your readers, editors, and enterprise customers get the benefit of AI without leaving the journal they trust.
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