Ask questions about your operational data in plain English. Built on a curated semantic layer of your schema and business terms, so every answer is accurate, not guessed.
Live preview: Meroo answers in tables, charts and cards, not just text.
Point a generic model at a real business database and it invents tables, guesses joins and miscalculates your metrics. The fix isn't a bigger model. It's curation: your business encoded, so the system can't guess.
Enterprise AI Workflow and AI Dashboard are separate products, each with their own pricing and delivery when they ship. Today, the conversation is Talk to Your Database.
Ask questions in plain English and get accurate, read-only answers: curated to your schema, industry, and terms.
Go beyond answers: let Meroo execute and automate real business processes, with your integrations.
Build real-time dashboards by conversation: describe it, preview the result, add the widget.
Your business, encoded, so answers match how your company defines things, not how a model guesses.
Secured and access-controlled, every query validated. Enforced in code, so it can't write or cross a customer boundary.
We build and run it on a purpose-built engine. Live in weeks from kickoff, not a six-month consulting project.
For regulated or compliance-heavy teams, that's not a preference. It's often the only path that clears legal review. Your data never crosses into a third-party cloud, which sidesteps the security review a typical SaaS tool triggers.
See our security model →Five disciplined phases, built and run by our team. Live in weeks from kickoff.
A fixed-scope sprint that gets precise about what your teams need and what your data can actually support, so the build carries no surprises.
The databases, scale and complexity in scope, and the state they're really in.
The questions each team needs answered, prioritised by business value.
Where sensitive data, multi-tenant boundaries and compliance constraints sit.
Where answers will be reliable, and where they won't. Set before you commit.
On Spider 2.0, the enterprise text-to-SQL benchmark, leading models score around 21% on real schemas. Curation closes the gap. 90%+ is the bar every Meroo build is measured against.
Source: Spider 2.0, the enterprise text-to-SQL benchmark (~21% execution accuracy). 90%+ is a target, not a measured client result.
Want the mechanics behind each phase? See the platform →
Query-only, enforced at the database session: never a write, update or delete. Not a prompt-level promise.
Even inside one shared database, visibility is scoped to the caller through a layer built to your structure, not a generic tenant filter. Checked independently in code, so no one sees what they shouldn't.
Deploy on-prem or in your own cloud VPC. No training on your data. Results aren't retained by default.
Role-based access is built in. SSO/SAML configured during implementation if you need it. Full audit log of every question and query. SOC 2 in progress; DPA available.
| Generic self-serve AI | Big consultancies | Meroo | |
|---|---|---|---|
| Accuracy on your schema | Low, generic, DIY | High but bespoke | ✓ High, curated, productized |
| Time to value | You do the work | Months | ✓ Weeks |
| Cost | Cheap tool, poor fit | Very high | ✓ Mid-market, a fraction of ~$150K/yr agents |
| Multi-tenant safety | Weak | Custom each time | ✓ Built-in |
| Ongoing improvement | You maintain | New SOW each time | ✓ Managed service |
Self-serve status, counts and exceptions across orders, inventory and accounts.
Revenue, trends and breakdowns in plain English, without writing SQL.
Trusted, governed, read-only access with full audit trails.
Embed accurate data answers into your own product and workflows.
One completed engagement so far, a large financial-services platform, plus the kind of system Meroo is built for and how an engagement takes shape. See the details →
200+ tables, per-client custom fields: the pattern Meroo is designed for. Off-the-shelf AI is inaccurate and unsafe across tenants; a curated, tenant-safe assistant is the fix.
We assess your database, stakeholders and use-cases, and map the risks, in a fixed-scope sprint credited to the build.
We curate, guardrail and deploy on a purpose-built engine, then keep accuracy tuned as your schema evolves.
*Industry/target figure: the accuracy curation is built to reach, not a specific client result. See the methodology on the platform page.
Three simple packages, quoted to your database and use-cases: a fraction of enterprise AI agents, which commonly start around ~$150K a year.
The things a skeptical buyer asks anyway, answered before you have to ask.
Generic AI on an export or a raw warehouse still guesses at your schema and your business logic. That's the ~1 in 5 problem. Meroo is curated to your actual definitions and rules, and it's read-only against your live operational data, not a static export.
No, it complements them. Meroo handles the ad hoc, plain-English questions that would otherwise queue up for an analyst. Your BI stack still owns dashboards, modeling and deep analysis.
Every answer comes with the underlying data: export it as CSV, or embed answers directly into your own product or workflows via our API.
It's refused, not attempted. Every query is validated before it runs: read-only, scoped to your access, with no destructive operations possible.
Meroo is built for day-to-day operational questions, not as a system of record for statutory financial reporting or clinical decision-making. For regulated, high-stakes questions like these, always verify against your source system.
All major databases: PostgreSQL, MySQL, SQL Server, Oracle, Snowflake, BigQuery, Redshift and more.
A 30-minute call. We'll show a live demo and, if it's a fit, scope a Discovery engagement. No obligation.