It connects via read-only credentials to capture schema metadata and sample data safely — no writes, no performance impact, and no production interference.

Yes. The Discovery Agent detects unreferenced or unmapped fields and automatically infers business meaning, dependencies, and sensitivity — even when documentation is missing.

The model is fine-tuned on millions of enterprise data patterns and achieves >90% accuracy in inferring business context like “cust_id → Customer Identifier.” Engineers can review and adjust interpretations easily.

Discovery outputs feed directly into the Translation and Validation Agents, creating an intelligent metadata foundation for automated code rewrites and QA reconciliation.

Most teams reduce discovery and documentation time by 70% or more, cutting weeks of manual profiling into a few hours — and preventing costly downstream migration errors.

The platform detects incompatible data types, function mismatches, and structural variations automatically — and recommends equivalent mappings or rewrite rules to ensure consistent behavior in the target platform.