Reos

Reos organizes customer research into five connected stages: Plan, Recruit, Conduct, Analyze, and Act. On the planning side, an AI assistant that knows your research drafts the study plan, discussion guide, and screener. Recruitment pulls from your own customers as well as panels and tracks every invite, while conducting happens in one place with live interviews scheduled, recorded, and transcribed, plus AI-moderated interviews that can run in 12 languages around the clock.

Analysis is the platform's differentiator. Its DIVE pipeline (Decode, Improve, Validate, Enrich) chains four stages that each check the previous one, and every claim links to an exact source and timestamp - a specific second of an interview recording or a precise line in a support ticket. Reos says each step runs on the model that scored best against hard-coded ground truth, re-tested as new models ship, so analysis is benchmarked rather than guessed. Findings are then shared as reports and docs that trace back to every source.

Reos also ingests feedback beyond interviews: support tickets, forwarded emails, forms, uploaded recordings and transcripts, and datasets of any size, which it transcribes and structures automatically. It is explicitly positioned for research teams, product teams, CX and support organizations, and founders, and is sold as an enterprise product that you start with a demo.