Application Modernisation
AI doesn’t work on top of fragile legacy systems. Before you can adopt AI, automate workflows, or build data pipelines, you need a modern application layer. We take legacy platforms — the ones held together with custom scripts and tribal knowledge — and migrate them to cloud-native architectures. Monolith decomposition, API-first redesign, database migration, and infrastructure modernisation. We do this incrementally, so your business keeps running while we rebuild the foundations underneath it.
What you get
Real examples
Legacy platform migration
Take aging on-premise applications — often .NET, Java, or custom-built systems — and migrate them to cloud-native architectures with modern APIs, automated testing, and CI/CD pipelines.
Monolith decomposition
Break tightly coupled monolithic applications into independent services that can be deployed, scaled, and updated independently — reducing risk and enabling parallel development.
Common questions
How long does modernisation take?
Depends on the system. A focused API layer can be built in 6–8 weeks. A full platform migration typically runs 3–9 months. We scope it after a technical assessment of your current stack.
Can we modernise incrementally?
Yes, and we recommend it. We use the strangler fig pattern — building new services alongside the legacy system and migrating traffic gradually. Your business keeps running throughout.
What about our existing data?
Data migration is part of every modernisation project. We map your current schema, design the target state, build migration scripts, and validate data integrity at every step. No data gets left behind.
Do we need to stop development during migration?
No. We run modernisation alongside your existing development. New features go into the modern layer where possible, and the legacy system stays operational until each component is migrated.
What technologies do you modernise to?
Cloud-native architectures on AWS or GCP — containerised services, managed databases, API gateways, and infrastructure-as-code. We recommend based on your team’s capabilities, not our preferences.
Ready to get started?
Tell us about your project and we'll tell you honestly how we can help.
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