Microsoft’s Publisher Content Marketplace aims to give publishers a revenue stream by providing AI systems with scaled access to premium content — big tech’s own answer to the licensing infrastructure question.Notes & quotesSee Jonathan Woahn’s Scholarly Kitchen pieces…
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pure.science, led by CEO Adam Hyde (of Book Sprints / Coko) and CCO Laura Harvey, offers no-code workflows for publishing and research: orchestrating systems, automating decisions and deploying AI agents for accessibility checks, citation validation, research discovery and…
q.e.d, from QEDScience.com, is Oded Rechavi’s answer to reimagining peer review with AI: an online reviewer built by scientists from AI, engineering and biology backgrounds that gives authors constructive feedback. The name is from quod erat demonstrandum —…
Silverchair and OpenSource Connections co-designed an evaluation pipeline for benchmarking Retrieval-Augmented Generation (RAG) architectures on real publisher content. Built with Python, LlamaIndex, RAGAS and LangSmith, it generates question-context-answer triplets, runs RAG models, and scores outputs on faithfulness, answer…
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ReadCube’s AI Assistant works over a researcher’s own library: summarising articles, translating, simplifying terminology and answering questions across up to 20 documents at once.
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Reedy.ai, from CHAPTR, is a metadata optimisation platform for publishers: it analyses existing catalogue metadata and suggests improvements, with a particular focus on reviving backlist titles.
Refine offers deep, substantive feedback for academic and technical authors — targeting the logic, internal structure and consistency of a manuscript, distinct from grammar tools, compliance checkers and peer-review simulators.Notes & quotesH/T Aaron Tay.
ReviewBench is an open-source, venue-agnostic framework comparing human and AI reviews across structure, alignment with a paper’s major claims, impact, and critique category — benchmarking infrastructure for the AI peer review wave.Notes & quotesPreprint: https://www.biorxiv.org/content/10.64898/2026.04.17.719279v1.full
Reviewer3 is an AI manuscript-review platform aimed at authors, giving pre-submission feedback as simulated peer-review comments so problems are caught while they’re still most correctable. It is a multi-agent system — each “reviewer” is itself a multi-agent workflow,…
ReviewerAI, from Reality Wave, evaluates academic submissions of every kind — journal and conference papers, research and commercial proposals, fellowship applications, educational resources — against a 120+ point inspection rubric with multimodal workflows and scoring algorithms.
