Settle is an AI-native platform for enterprise data migration. It runs the full migration lifecycle: connect source and target systems, discover the business rules and exceptions that live in your experts' heads, configure AI-proposed mappings and transforms, export with a pre-load verification gate, and validate the live target after load.
The architecture: AI proposes every mapping and transform, deterministic engines validate every row — schema and types, referential integrity, business rules, and reconciliation of expected versus actual — and humans approve before anything loads. After load, Settle replays your real business workflows in the target system's own front end and records the evidence, so you see migrated data working before cutover.
It's built for the hard 10% of migrations: the exceptions, edge cases, and one-off rules that don't fit clean mappings and usually surface only after load. Settle captures those rules up front in discovery and proves every record against them.
For teams that migrate continuously (customer onboarding, professional services, internal migration teams) the platform provides reusable templates and versioned, re-runnable migration packages, with every step logged for audit. Typical migrations complete in days rather than months.