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COHARYN

Coharyn Transform

Understand both sides before you migrate.

Migration risk lives in the gap between how two systems represent the same business reality. Coharyn learns both, then proposes and validates how one maps to the other.

Coharyn learns the source and the target as independent systems, then discovers the semantic relationships between them from evidence — mappings, translations and the dependency order needed to move meaning safely.
  • Source-to-target relationships
  • Semantic mappings and enum / lifecycle translation
  • One-to-many, many-to-one and derived fields
  • Dependency and load order
  • Migration blockers and source inconsistencies
  • Target compatibility analysis

The objective is not simply to move records. It is to preserve meaning.

Every proposed mapping is inferred, carries evidence and a confidence signal, and requires human approval. Ambiguous value domains are flagged as blockers — not quietly guessed.

Vendor DNA

How different platforms represent equivalent business concepts, so a legacy model can be mapped to a modern one with meaning intact.

Rehearsal in a sandbox

Generated transformation logic is rehearsed into a Coharyn-owned sandbox — never against your production source, which stays read-only.

Readiness, honestly

A migration-readiness view shows mapping coverage, unresolved ambiguity and critical blockers that cannot be hidden by an aggregate score.

Controlled validation

Transform has been validated on a controlled ERP legacy-to-modern estate — clearly synthetic, referenced only as controlled validation.

Start with a private pilot.

Connect Coharyn read-only to one unfamiliar system, or several. See what it discovers, with evidence, before you commit to anything.