Your data isn't ready for analytics. We fix that first.
a2engines ingests messy spreadsheets and exports, uses AI to understand and clean them with a human confirming every step, and serves the result through a typed API your team builds on. No BI tool starts this early.
Every BI tool assumes the hard part is already done
Before a single chart gets built, three things have to be true about your data. Tableau, Power BI, Looker and Metabase offer zero help getting there.
Structurally clean
Consistent headers, correct types, no merged cells or stray sheets.
Semantically understood
“Rev.” and “Revenue (GBP)” need to resolve to the same thing.
High quality
No impossible values, no blank rows from lazy form-filling, no duplicates.
| Tool | Data prep help | AI understanding | Multi-tenant API | Price |
|---|---|---|---|---|
| Tableau | None | None | No | £££ |
| Power BI | None | Minimal | No | ££ |
| Metabase | None | None | Limited | £ |
| Mixpanel | Domain-specific only | No | Yes | £££ |
| a2engines | Full AI prep layer | Yes, industry jargon | Yes | Custom |
One pipeline, four steps, a human at every gate
Every AI suggestion, whether a column mapping or a calculated metric, is confirmed by a person before it's written. The system explains what it's proposing and why.
Understand
Gemini reads the dataset, infers its domain, and maps columns to canonical meaning, so “Rev.”, “Revenue (GBP)” and “Turnover” resolve to one thing.
Clean
Structural issues, semantic mismatches, and quality problems all surface as review items. You confirm, edit, or dismiss each one. Nothing is silently fixed.
Enrich
Once the cleaned structure is confirmed, cross-dataset relationships and calculated metrics are derived, again with a confirmation gate before anything is committed.
Serve
The prepared, enriched data is served through a typed REST API. Build your own UI on top, or have one built for you.
Built for domains where getting it wrong is expensive
Consumer fitness & wellness apps
Moderate volume, thousands of end-users, two distinct roles reading the same underlying data with different scopes and permissions.
Commodities trading desks
High sensitivity, complex structured data, dense industry jargon, small user counts, zero tolerance for a quality error going undetected.
AI assists, humans decide
Every suggestion is a proposal until a person confirms it.
Immutable by default
Raw data is never edited in place. Corrections are versioned re-imports.
Role-based, server-side
The same auth token returns different data depending on who's asking.
Let's see if your data is a fit
Tell us what you're working with. We'll tell you honestly whether the AI prep layer will save you time or not.
zenith@a2engines.com