Adaptive integration that stays live

MTN Data Foundry adapts as systems change. Continuous visibility, no integration restarts, no months of catch-up.

What MTN Data Foundry does

SourcesEHRs, billing, vendors
FoundryAdapts automatically
ToolsWarehouse, BI, analytics

The Foundry creates a consistent data layer that adapts automatically. It doesn't replace your existing infrastructure — it makes it resilient to change.

  • Continuous visibility during acquisitions and system migrations
  • Reduced integration maintenance burden over time
  • Faster onboarding of new systems without custom development

Self-organizing integration

New systems come online quickly because the Foundry learns from existing mappings.

1

Automatically recognizes new data structures when systems are connected

2

Suggests mappings based on field values, naming patterns, and healthcare standards

3

Routes low-confidence cases for human review instead of guessing

Self-healing pipelines

When source systems change, the Foundry adapts automatically.

New fields added

When sources add new data elements, the Foundry detects them automatically and suggests mappings based on similar fields it has seen before.

Field names change

Renamed fields are detected through value pattern matching, not just column headers. High-confidence matches apply automatically.

Data types shift

When vendors change data formats, the Foundry identifies the change and adjusts transformations without manual intervention.

Payload structure evolves

Even significant structural changes are handled gracefully. The system presents a clear diff and applies updates with full audit logging.

No retroactive changes

Historical data remains stable. Schema changes apply forward only, unless you explicitly choose to reprocess. This preserves audit trails and ensures downstream reports stay consistent.

Continuous monitoring

Early warning before downstream impact.

Surface issues before they reach downstream systems — not after reports lag or dashboards go stale.

Transmission health

Know when sources stop sending or change patterns

Schema drift

Detect structural changes before they cause failures

Quality alerts

Flag anomalies in data values and completeness

See how this fits your stack

We'll walk through your current systems and show how the Foundry would integrate.