Cygenix connects to SQL Server, Azure SQL, Postgres and file sources (CSV, Excel, text) — on-premises or in any cloud. It maps your schema intelligently using Claude AI, validates results, and delivers professional reports — in minutes, not months.
[Email, 14 Apr])..csv, .xlsx, .tsv and .txt — multi-sheet workbooks handled. Cross-engine migration in any direction, with a built-in DDL generator that creates target tables from the source schema and flags lossy conversions (jsonb, arrays, hierarchyid). Azure Function with Managed Identity also supported.@@Tokens once and use them across SQL, Was/Is rules, WHERE clauses, literal mappings and custom jobs — values substitute at runtime. CSV / JSON import and export, filter and sort.IF NOT EXISTS guards. Re-runs are safe.Curtis has worked in technology since the mid-1990s, with the last twenty years spent specialising in data conversion for the media and legal industries — domains where accuracy, traceability, and proof of correctness aren't optional extras.
Born in the UK, his route into professional computing came via an unlikely turn: an exchange student programme in the 1980s that put him in front of Gateway PCs at a time when most of his classmates were still on paper. The interest stuck.
Cygenix is the platform Curtis wished existed across two decades of consulting work — built so the next data engineer dealing with a high-stakes migration has the tools to do it once, do it right, and prove it.