reOS is a research workspace that takes customer research from a study plan to analyzed, source-linked insights, then back out to actions you can measure. It’s for teams that rely on customer interviews and feedback across channels, but struggle to connect findings to shipped changes and to older research.
It’s built to replace the scattered workflow where studies live in multiple tools and end in one-off decks.
Where it stands out is traceability plus auditability. reOS presents analysis as evidence-backed claims, not “the AI said so” summaries. It also runs analysis through a staged pipeline (Decode, Improve, Validate, Enrich) designed so each stage checks the previous one. That approach is meant to reduce hallucinations and keep your research reproducible.
For security and governance, reOS positions itself for teams handling sensitive participant language (SOC 2 Type II, ISO 27001, ISO 42001, and GDPR). Pricing is framed around a unit model where one unit covers an interview’s full cycle, with AI-moderated interviews and narrated reports costing more units.
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