67 Bricks’ research assistant offering for small and mid-sized publishers: users increasingly expect natural-language search with summarised results, but smaller publishers are unlikely to land licensing deals with the big AI companies. This gives them their own LLM…
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Wiley AI Gateway, launched October 2025, is billed as the industry’s first AI-native research intelligence platform: a single MCP-based endpoint connecting scholarly content from multiple publishers to the AI tools researchers already use — Anthropic’s Claude, AWS Marketplace,…
Spicerack, with Mathison.ai, built a conversational search interface for the American Institute of Physics. Researchers query AIP’s published papers in natural language; a RAG framework over LLMs and a vector database returns semantically relevant results with generated summaries…
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Research Solutions added AI search to Article Galaxy: full-text citation searches, advanced Boolean queries and context-aware results — searching across citation statements inside articles rather than just titles and abstracts.
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Ask AI is Harvard Business Review’s conversational interface to its article archive: natural-language questions, tailored answers and recommendations drawn from HBR content.
Claude Science is Anthropic’s AI workbench for scientists, launched in beta on 30 June 2026. It pulls the fragmented tools of research — PubMed, Jupyter, R, cluster terminals, 60+ scientific databases — into one environment where a generalist…
Dimensions AI Assistant adds semantic summaries and contextualised results to the Dimensions database, moving past keyword search. Launched in beta with a limited set of global users.
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Dimensions Research GPT lets users query the Dimensions database in natural language and get citation-linked answers — no SQL, no metadata wrangling. Aimed at researchers, policymakers and institutions.
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Direqt AI Search replaces a publisher’s on-site search: it crawls and indexes every page, combining keyword and semantic search so visitors actually find things.
Silverchair’s Dynamic Discovery uses retrieval-augmented generation to connect researchers with relevant scholarly content through natural-language queries. It builds on the Oxford Academic AI Discovery Assistant, and shows why each source was selected along with relevance and access indicators.
