Library — Integration
No rip and replace
Every operation already runs on decades of systems that work. The fastest way to make them smarter is to leave them where they are.
01The problem
Replacing an operational estate is slow, risky and rarely delivers the understanding it promised.
Large operations are built in layers — an ERP from one era, a warehouse system from another, maintenance software chosen by a different team, and EDI links to partners that nobody wants to touch. A replacement programme takes years, and at the end of it the new system is still one system.
Theralon takes the opposite approach. It reads what those systems already produce and builds its understanding above them, so the value arrives without a migration and the systems of record stay exactly where they are.
The systems of record remain where they belong. The intelligence sits above them.
02How it lands
- 01
Reads what already flows
ERP, EAM, MES, WMS, TMS, CMMS, SCADA, industrial IoT, operational databases, cloud data platforms, streaming infrastructure, APIs and live telemetry.
- 02
Real EDI, not a sample
X12 and EDIFACT traffic parsed directly, with shipping notices reconciled against receipts automatically.
- 03
Columns nobody predefined
Unexpected fields are profiled, classified and used — not dropped for failing to match a known name.
- 04
Incomplete feeds still count
A source missing one field is graded on what it can drive rather than discarded, so partial data still contributes.
- 05
A governed write path
Operators can correct and extend the model directly, with every change validated, attributed to its source and versioned.
- 06
A published schema
An installable SDK and a self-describing schema give integrators typed access to the model, the risk register and model cards.
03What changes
Value after the migration
Value without one
Data dropped for not fitting
Data used for what it can drive
Integration by tribal knowledge
Integration by published schema
04Under the hood
Both the automated derivation path and the manual write path validate against the same schema, so the published shape cannot drift from reality. A misspelled property or a relationship pointing the wrong way round is refused with an explanation — never stored as a fact indistinguishable from a real one.
If this is your operation, we would like to hear about it.
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