The data layer underneath the work.
Live in days. Flat through every add-on. Ready for what you deploy next.
What MTN Data Foundry does
Live in days.
New systems come online quickly because the Foundry learns from existing mappings.
Maps fields using values, naming patterns, and standards.
High-confidence matches apply automatically.
Low-confidence cases route to a human — never guesses.
Flat through every add-on.
Conventional integration maintenance compounds with every new system. The Foundry keeps it flat.
Self-healing pipelines adapt when sources change — no manual rework.
Flat doesn't happen by accident.
Keep your people focused on the high-value work.
New field detected and mapped
Renamed field matched by values
Type conversion applied automatically
Structure adapted with full audit log
Forward-only. Historical data stays stable.
Ready for what you deploy next.
A canonical layer your next model reads from on day one. Claude, GPT, Gemini, or your own.
Every model query lands inside the compliance perimeter
What it does, and what it doesn't.
The Foundry is the layer between your sources and your stack. It doesn't try to be your stack.
It does
- Ingest from any source, with no upfront schema
- Map to canonical concepts, with confidence scoring
- Adapt when source schemas change
- Output to your warehouse, BI, AI, and agents
It doesn't
- Replace your warehouse or BI tools
- Compete with your data platform
- Require changes to your source systems
- Store data long-term
It tells you before anything breaks.
Issues surface before they reach downstream systems.
Issues surface before they reach downstream systems.
See how this fits your stack
We'll walk through your sources, your warehouse, and your deployment plans, and show how the layer fits underneath.