AI-Native Replatforming

Replatform any legacy stack. Let AI do the heavy lifting.

Adapt Systems is the AI-native replatforming partner for enterprises whose current stack is now the bottleneck — low-code lock-in, end-of-life frameworks, monolithic codebases, bespoke 4GLs, or simply the wrong platform for where the business is going. We replatform your codebase to whichever target your team will own next — modern framework, modern low-code, or anything in between — phased and owned, 3–5× faster than a traditional rewrite. AI does the volume. Senior architects own the calls.

Phased delivery Full IP ownership Zero big-bang cutover

Active replatforming engagements across Europe, the UK, and South Africa.

  • Low-code estates
  • Legacy enterprise
  • 4GL & bespoke stacks
  • End-of-life frameworks

The replatforming math has changed

Rewrites used to take years. AI breaks the trade-off.

The old way

You hire a system integrator. They quote 24–36 months and 8–15M euros for a full rewrite. Half the team leaves before it ships. The new system inherits old assumptions and never quite reaches feature parity. You stay on the legacy platform paying escalating license fees while the rewrite drifts.

The Adapt way

AI parses your source codebase — OML, Forms metadata, legacy AST — and emits idiomatic modern code in your target stack. Senior architects own the structural decisions and review every commit. Phased releases, parallel running, and a working modern system in months, not years. License costs drop. Your team learns the new stack as it ships.

Inside the factory

AI does the work that used to consume the rewrite.

Source parsing

Our AI reads your source platform — whether that's a low-code DSL, a legacy framework, a 4GL, or a tangle of bespoke metadata — and builds a complete map of entities, screens, business rules, integrations, and data flows. Every artifact is inspectable. No black box.

Target generation

The AI emits idiomatic code in whichever target your team chooses — modern frameworks (Java/Spring, .NET, Node, Python, React, Vue) or modern low-code platforms (OutSystems, Mendix, Power Platform, ServiceNow, Salesforce). Senior architects shape the target architecture and own the non-trivial calls. AI handles the volume; humans handle the judgment.

Equivalence testing

Before any cutover, the AI synthesizes behavioral tests that compare new system output against legacy system output. You don't migrate on faith — you migrate on a passing diff.

Source and target are your call

Whatever you're on, wherever you're going — the factory covers it.

Source stacks

Low-code platforms
Mendix · OutSystems · Power Platform — full DSL reverse engineering, phased exit, license costs collapsed.

Legacy enterprise frameworks
ColdFusion · Legacy .NET Framework · Oracle Forms / Reports · Classic ASP — preserved business logic, modular target architectures, phased cutovers with parallel running.

Aging front-ends
AngularJS · Backbone · jQuery monoliths · Knockout — component-by-component, no big-bang rewrites.

4GLs and the "nobody wants to touch it" tier
Visual Basic 6 · Delphi · PowerBuilder · COBOL · custom 4GLs and ERP customization layers — parsed case by case.

Target stacks

Modern frameworks
Java/Spring · .NET 8+ · Node.js · Python (Django, FastAPI) · React · Vue · Angular 17+ — for teams that want to fully own their codebase.

Modern low-code
OutSystems · Mendix · Power Platform · ServiceNow · Salesforce · Retool — for teams that want speed-to-delivery.

Hybrid
Modern back-end with low-code front-end, or vice versa — common where part of the org wants control and part wants velocity.

Don't see your source or target? We probably still cover it. Book the audit.

What clients walk away with

Owned codebases. Lower run-rate. Faster shipping.

3–5×
faster than a traditional rewrite quote from a tier-1 SI
60–80%
lower annual platform and license cost post-migration
100%
IP ownership — your code, your repo, no escrow, no vendor middleman
Zero
big-bang cutover — phased migrations with parallel running throughout

Three engagement stages

From "is this even possible?" to "we're off the legacy stack."

  1. 01

    Replatforming Audit

    Fixed price, 4–6 weeks. We map your legacy estate, score migration complexity, propose target architecture, and produce a board-ready exit plan with a quote for the factory phase. You can walk away after the audit owing nothing more.

  2. 02

    Replatforming Factory

    Productized delivery. AI-accelerated migration of your codebase to the agreed target stack. Phased releases, parallel running, continuous equivalence testing, transparent weekly reporting. Priced per module or per estimated LOC.

  3. 03

    Enablement & Residency

    We train your team on the new stack, hand over the codebase clean, and stay on retainer for tail risks during the first 6–12 months of post-migration operations.

Representative engagements

Direction-agnostic. Every engagement, the same factory.

Legacy → Modern framework

Iberian banking back-office

.NET Framework 4.6 monolith refactored into modular .NET 8 services. AI-generated equivalence tests caught 340+ behavioral edge cases pre-cutover. Migration shipped in 9 months vs. a 24-month SI quote.

Low-code → Modern framework

Northern European logistics ISV

1.2M LOC low-code estate migrated to Java/Spring + React over 11 months. License cost reduced 78%. Release cadence improved from monthly to weekly. Zero unplanned downtime at cutover.

Legacy → Modern low-code

Continental European utility

Oracle Forms / Reports estate replatformed onto a modern low-code platform with preserved business logic. Time-to-new-feature dropped from quarters to days. Internal team ramped on the new stack during the migration, not after.

Within-category modernization

Southern Hemisphere insurer

AngularJS front-end refactored to React component by component while the back-end stayed put. 6-month engagement. Zero downtime, zero feature regression.

Start here

Get a board-ready replatforming plan in 4 weeks.

The Replatforming Audit is fixed price, fully scoped, and ends with a written exit plan, target architecture, and a quote for the factory phase. No commitment beyond the audit.