reOS is an AI-powered research operating system that centralizes the end-to-end customer research workflow—planning, recruiting, interviewing, ingesting multichannel feedback, transcribing, analyzing, and turning insights into tracked actions. Its AI research assistant auto-generates study plans, research questions, and moderation guides, while the human-led DIVE analysis pipeline (Decode, Improve, Validate, Enrich) extracts structured, cited insights traceable to the exact source and supports AI-moderated interviews and configurable models so teams can scale research without losing auditability or control. Teams use reOS to replace fragmented tool stacks, speed time-to-insight, compound learnings across studies, and make evidence-backed product and customer decisions.