One completed engagement so far, below, plus the kind of system Meroo is built for and exactly how an engagement takes shape. More real case studies will land here as new clients go live.
487 tables, a 12-tenant system, layered role-based access across 4 roles, and 47 custom business metrics stored in JSON fields, the kind of complexity generic AI tools choke on. We audited the schema, built the custom modules it needed, and integrated with their existing semantic layer. Delivered in about 7 weeks, from first call to production.
Kept anonymized. Figures shown describe the actual engagement, not a marketing composite.
200+ tables, per-client custom fields, strict tenant boundaries: the pattern Meroo is designed for. A worked example of how curation makes it accurate and tenant-safe.
A fixed-scope sprint across your database, stakeholders and use-cases, mapping the risks, credited to the build.
Curated, guardrailed and deployed on a purpose-built engine, then kept accurate as your schema evolves.
*Industry/target figure: the accuracy curation is built to reach, not a specific client result. See the methodology.
Representative of what teams on a system like this ask day to day.
A 30-minute call. We'll show a live demo and, if it's a fit, scope a Discovery engagement.