How Settle works
An autonomous, multi-agent workflow that handles the full migration lifecycle — from schema profiling to production-ready load files. First mapping proposals in under an hour. Production-ready packages in days, not months.
Schema understanding
Settle's agents scan your source systems and learn tables, keys, relationships, and business meaning. Entities and dependencies are mapped automatically. Duplicates and anomalies are flagged before mapping begins. 240-table schemas with 847K rows profiled in under 14 seconds.
Auto-mapping & transformation
Settle proposes and refines field-level mappings into your target model. Mapping specs are generated automatically with confidence scores. Ambiguous mappings are surfaced for human review — the AI never acts without visibility. 90%+ of fields mapped automatically — flagged exceptions sent for human review, not buried in logs.
Cleansing & standardization
Cleansing becomes a reusable layer instead of one-off scripts. Address normalization, picklist alignment, deduplication, merge logic, and referential integrity fixes are applied systematically across every load cycle. Cleansing rules persist across load cycles — no rebuilding scripts for every run.
Generated ETL & loaders
Settle outputs production-ready SQL, Python, or API-based loaders. Run them in your environment or Settle's runtime. Parameterize for dev, test, and prod with full audit trails. Every transformation carries a full audit trail — what changed, why, and which AI decision produced it.
Validation, reconciliation & delta
Multi-agent validation ensures safe loads and smooth deltas. Constraint issues, data drift, and schema changes are detected before they break downstream. Each load cycle feeds back into the next — making every iteration faster and safer. 87% first-pass readiness score across migrations. Blocking issues caught before they reach production.
Ready to see it on your data?
Tell us about your migration and get your first mapping proposal in under an hour.