Legacy Modernization. Your estate, mapped first.
Before we change a line, AI reads your entire codebase across 13 languages, every dependency and every risk. So each modernization decision is backed by evidence, and every change traces from spec to release.
MODERNIZATION · EVIDENCE FIRSTWhat this engagement is
Modernization fails when it starts with rewriting and ends with archaeology, so we do the opposite. AI reads your entire codebase across 13 languages and maps every service, dependency and risk into one knowledge graph before anything changes. From there, every change moves forward documented, approved, tested and traceable.
The map itself becomes a lasting asset. It shows you exactly what you have, turns guesswork into an evidence-based plan, and stays up to date because it's connected to your live code rather than trapped in a one-time audit report.
And whatever the goal, whether migrating step by step, moving to the cloud or consolidating platforms, every change flows through the same cycle of planned, built, approved, released and measured.
The numbers behind it
What ships
Estate map
Every service, dependency and owner in one graph, across 13 languages.
Risk & value scoring
What to modernize first, ranked by blast radius and business value.
Migration specs
Each move ships as a spec with acceptance tests before code starts.
Gated releases
Human-signed go/no-go on every cutover, with rollback runbooks.
Zero-downtime patterns
Strangler and dual-run patterns, the approach behind our zero-downtime fintech migration.
Living documentation
The map updates on every merge; documentation stops rotting.
How the engagement runs
Six phases from an unmapped estate to gated, proven cutovers.
Proof from production
40% faster APIs, zero behaviour drift
“The estate map found the hot paths, acceptance tests pinned the behaviour, and the rebuilt services shipped 40% faster APIs, with every cutover gated by a parallel run.”
Questions teams ask
Do you rewrite everything?
No, the map decides. Some services get modernised, some get wrapped, some get retired. Most estates need far less rewriting than teams fear once the dependencies are actually visible.
How do you avoid breaking behaviour?
Acceptance tests are written before the change, pinning current behaviour, and parallel runs then compare old and new until the tests, not the calendar, approve the cutover.
Our system has no documentation. Is that a problem?
It's the normal case. The code intelligence produces the map and glossary from the source itself, and that artifact becomes the documentation you never had, versioned and queryable.
What do we keep at the end?
The estate map, the test suites, the modernised services and the ontology entries they feed are all versioned, all in your environment, all yours.
Zero-downtime migration plus a RAG Q&A engine over secure financial archives, with 40% faster APIs, 90% less manual search.
Pick your function. Own the intelligence behind it.
Discover one opportunity, engineer one capability and deliver one measurable outcome, then scale.