Legacy Modernization. Your estate, mapped first.
Code intelligence across 13 languages maps your estate first. Modernisation with proof — every change traceable from spec to release.
MODERNIZATION · EVIDENCE FIRSTWhat this engagement is
Modernization fails when it starts with rewriting and ends with archaeology. We invert it: code intelligence across 13 languages maps the estate first — services, dependencies, dead paths, risk hotspots — into the same knowledge graph that powers everything else. Then modernization proceeds with proof: every change specced, gated, tested and traceable.
The estate map is an asset in its own right. It answers "what do we actually have?", prices the modernization honestly, and stays live afterwards — because it's built on the repos connector, not on a one-time audit deck.
Strangler-pattern migrations, API-first refactors, cloud moves and platform consolidations all run through the same loop: spec → build → gate → release → measure.
The numbers behind it
What ships
Estate map
Every service, dependency and owner in one graph — 13 languages covered.
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
Five 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 — then parallel runs 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 — all versioned, all in your environment, all yours.
Zero-downtime migration plus a RAG Q&A engine over secure financial archives — 40% faster APIs, 90% less manual search.
Pick your function. Own the intelligence behind it.
Discover one opportunity, engineer one capability, deliver one measurable outcome — then scale.