Deciphering AI
for the Humanities

An AI-powered academic search engine that queries a corpus of over 200 million peer-reviewed papers, synthesizing evidence-based answers with citation-level transparency and a proprietary Consensus Meter for gauging scientific agreement.

An AI research assistant that automates literature review workflows — searching over 138 million academic papers, extracting structured data into customizable tables, and generating systematic review reports with sentence-level citations traced to source documents.

A free literature discovery platform that visualizes citation networks across 270 million academic papers, enabling researchers to map intellectual lineages, trace emerging research fronts, and discover interdisciplinary connections through interactive graph exploration.

A visual literature exploration tool that generates interactive similarity graphs from a single seed paper — mapping bibliographic coupling and co-citation relationships across academic literature to help researchers discover thematically related work outside traditional keyword-based searches.

A citation analysis platform that employs machine learning to classify how academic papers cite one another — as supporting, contrasting, or mentioning — enabling researchers to assess the empirical reliability of sources beyond raw citation counts.

An open-source, nonprofit reference manager that gives researchers full control over their bibliographic data — supporting 9,000+ citation styles, local-first storage, PDF annotation, browser-based capture, and collaborative group libraries without requiring data to leave the researcher's machine.

A free, AI-powered academic search engine developed by the Allen Institute for AI, indexing over 200 million papers with AI-generated TLDR summaries, citation influence analysis, personalized research feeds, and natural language paper queries — built as a public good for the research community.

The most widely cited qualitative data analysis (QDA) software in academic research, offering systematic coding, thematic analysis, and mixed-methods capabilities for unstructured data including interviews, focus groups, surveys, and multimedia sources.

A qualitative data analysis platform that combines established CAQDAS methodology with opt-in AI-powered coding, sentiment analysis, and network visualizations — offering researchers the choice between fully manual analysis and AI-assisted workflows with transparent, auditable outputs.

A mixed-methods research software platform combining qualitative coding, quantitative content analysis, and AI-assisted analysis tools — uniquely designed to support the full spectrum from ethnographic grounded theory to quantitative text analytics within a single, GDPR-compliant environment.

An AI academic writing assistant built on 23+ years of scholarly publishing expertise, offering context-aware grammar and language editing, research discovery across 250 million articles, citation generation in 10,000+ styles, and 30+ pre-submission compliance checks — designed specifically for manuscript preparation.

An AI language feedback tool trained exclusively on published academic texts, offering context-aware grammar and style corrections, sentence rephrasing, title and abstract generation, and paraphrase suggestions — purpose-built for non-native English academic writers and journal manuscript preparation.

An AI-powered academic writing assistant that combines in-text autocomplete, citation generation from real academic sources, paraphrasing, and an AI detector — designed to help researchers and students draft, structure, and refine academic papers directly within a distraction-free writing environment.