TXYZ.AI vs Iris.ai

TXYZ is a research assistant that connects paper search, reading, writing, and note workflows in one web app at app.txyz.ai. You can discover academic papers with natural-language queries, upload PDFs for summaries, and draft writing pages backed by citations across disciplines.

General chat tools answer from the open web. TXYZ targets scholarly work with semantic paper search, document location references to cut hallucinations, private libraries for uploaded PDFs, and dedicated Searching, Reading, Writing, and API modules. That focus trades broad consumer chat for literature-heavy tasks in academia and R&D teams.

More than 500,000 researchers are cited on the homepage, with integrations for industry R&D, market research, and training use cases. Free access covers basic uploads up to 100 pages, while Pro and Ultra plans raise limits, context windows, and writing history retention.

Iris.ai builds enterprise knowledge platforms that turn scattered PDFs, patents, reports, graphs, and tables into structured data for RAG pipelines and AI agents. Its Axion product extracts multilingual documents across 68 languages, while Neuralith and RSpace target agentic workflows and complex R&D intelligence.

General-purpose RAG tools often choke on regulated industries where contracts, clinical trials, and patent libraries need schema-aware extraction and audit trails. Iris.ai ships ISO 27001-certified processing with GDPR compliance, on-premise deployment, and a built-in LLM evaluation layer so teams in pharma, telecom, and manufacturing can trust what their agents retrieve.

Research teams, legal ops, and innovation groups at enterprises like ArcelorMittal use Axion to cut patent review time by up to 90% with 94% extraction precision. Pricing runs from a Starter one-time pack for 10 documents through Professional tiers with about 100k pages to Enterprise deals from roughly €0.05 per page.