A relationship-aware matching engine: it reads table names, types, and foreign-key structure, then proposes mappings it can defend.
It indexes the schema. The data stays where it lives.
CONNECT
An agentic arm attaches to the source system.
INDEX
It reads and indexes the schema, never the data.
MAP
The core proposes field mappings and proves each one.
TRANSFER
Data moves from source to target, inside your perimeter.
LEXICAL
Names, types, and naming conventions: the surface signals, weighed first.
SEMANTIC
An ensemble of encoders reads what a field means, not just what it's called.
STRUCTURAL
The foreign-key graph has to agree. A mapping that breaks relationships is demoted.
ASSIGNMENT
One globally consistent mapping is solved across the whole schema, not field by field.
REVIEW
Contested rows go to a human review queue. Nothing ambiguous ships silently.
The matching core operates on structure: table names, column types, key relationships. Your rows never leave your systems, and the engine never asks for them.
Every release runs against a battery of schema-matching audits: systematic renames, restructured relationships, format crossings, deliberate ambiguity. And every mapping the engine proposes ships with the evidence that supports it, so your reviewers judge the proof, not the promise.