A metadata-driven platform that profiles your source systems, maps fields to the target, runs the migration and reconciles the result, with an AI consultant reviewing every stage.
Pick a capability to see what it does. From first connection to final sign-off, every stage is automated, measured and reviewable.
Per-column types, patterns, fill rates, distinct counts, primary-key candidates, duplicates and a data-quality score for every source.
01Upload CSV, XLSX or PDF, or connect live to SQL Server, MySQL, PostgreSQL and generic ODBC systems, including legacy ERPs.
02A senior-consultant AI cross-validates the profiling, flags migration risks and PII exposure, and gives a clear go or no-go verdict per entity.
03Compares the same data across every source by field similarity, surfaces overlaps and conflicts, and recommends the master source.
04Parse the target template and map source to target fields, with LLM-proposed mappings, confidence scoring and reversible overrides.
05Run the mapped transform, then reconcile source against migrated with pass, mismatch and fail status to confirm nothing was lost.
06Threaded conversations with project contacts, templated emails, send and receive through your own mailbox, all logged per project.
07Generate realistic, PII-aware sample data straight from a profile, so testing and demos never touch real records.
08A live dashboard across every project: systems assessed, records analysed, critical issues and overall migration readiness.
09Each step is tracked, auto-advanced as work begins, and signed off by a consultant.
Register source files or live databases and profile every column automatically.
Read the AI review, correct classifications, then map source fields to the target template.
Run the mapped transform against confirmed entities in the background.
Compare source to migrated, resolve mismatches and export the result.
Sign in to the platform to profile a source, review the findings and plan your move.