Iris.ai vs Outset

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.

Outset runs qualitative interviews at survey scale with an AI moderator that listens, watches, and probes in real time. You build a guide, recruit participants or import your own list, and the platform fields hundreds of parallel video, voice, or text sessions. It then synthesizes themes, quotes, highlight reels, and exportable reports without manual tagging.

Survey tools capture what people remember. Traditional qual interviews go deep but cap out at a dozen sessions. Outset targets the gap: dynamic probing tied to audio and visual cues, plus instant synthesis so teams close the say-do gap faster. It also ships Co-Design for real-time concept iteration inside live interviews, which most async survey or transcript-only tools do not bundle in one workflow.

Market researchers, UX researchers, and consumer insights teams at companies like Microsoft, HubSpot, Glassdoor, and Nestle use Outset for concept testing, persona work, brand studies, and usability tests. The platform reports 500,000+ interview hours, 10,000+ studies, and access to 1.1 billion possible participants across 85+ countries with support for 40+ interview languages.