Iris.ai vs Browse AI

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.

Browse AI is a no-code web scraping and website monitoring platform built for research teams that need structured data from sites they do not control. You train robots with point-and-click actions to extract lists, details, and screenshots, then schedule runs or set change alerts without writing scripts. The platform reports over 770,000 users and has delivered more than 10 billion rows of extracted data.

Where most scrapers break the moment a target site redesigns, Browse AI leans on adaptive change detection that adjusts robot selectors when layouts shift. That trade-off favors operators who monitor competitor pricing or job boards on a schedule and cannot babysit Python scripts every time a CSS class changes. You still get deep scraping workflows, bulk runs across up to 500,000 pages, and exports to Google Sheets, Airtable, Zapier, Make, webhooks, or a REST API.

Browse AI fits ecommerce analysts tracking catalogs, real estate teams pulling listings from Airbnb or Redfin, and growth operators building lead lists from directories. Over 250 prebuilt robots cover Amazon, Indeed, Google Maps, and other high-traffic sites. A Premium tier adds fully managed scraping with custom delivery for high-volume or complex pipelines.