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AI-Accelerated Modernization

Legacy systems are rarely hard to replace because the technology is old. They are hard because nobody remembers exactly what they do. We use AI-assisted code comprehension to turn undocumented systems into clear specifications, then modernize them step by step while the business keeps running.

What we do

AI-assisted reverse engineering
Code, database schemas, batch jobs and production logs mapped into architecture views, dependency graphs and functional specifications.
Business rules extraction and living documentation
Knowledge that lived in people's heads becomes versioned, searchable and reviewable.
Modernization strategy
Every component assessed against the 7 Rs: retain, retire, rehost, replatform, refactor, re-architect, replace.
Incremental migration
Strangler fig pattern, API wrapping and event-driven integration instead of big-bang rewrites.
Code and database migration
COBOL, PL/SQL, VB6, Delphi, .NET Framework and Java EE to modern Java, .NET, Python or TypeScript; legacy databases to cloud-native or open-source engines.
Characterization tests first
Tests generated before we change anything, so we can prove the new system behaves like the old one.
Process digitalization
Paper and spreadsheet workflows turned into digital services, with intelligent document processing (OCR plus LLM-based extraction).

What you get

  • Legacy knowledge captured and owned by you
  • Lower run and licence cost
  • An API-first, AI-ready architecture

Start with a Modernization Assessment.

Tell us where you are. In 30 minutes we'll tell you honestly what we'd do first — and what we wouldn't do at all.

Start the conversation