Legacy Software Modernization
Your legacy system still works. That's exactly why replacing it is risky. We modernize it piece by piece, without stopping the business that runs on it.
- System audit
- Phased refactoring
- Re-architecture
- Data migration
- UI and UX refresh
- AI-ready foundation
Our View
Move off ageing systems without stopping the business that depends on them.
Legacy software is rarely broken. It's slow to change, expensive to run, hard to hire for and impossible to connect to anything new, including AI. Every workaround makes the next change harder.
We start by understanding what the system really does, including the parts nobody documented, and then choose the least risky path: refactor what's sound, re-architect what's holding you back, and rebuild only where it pays off.
What We Build
Legacy modernization, built for production.
System audit
Code, architecture, integrations and data reviewed and mapped, with AI-assisted analysis of large or undocumented codebases.
Phased refactoring
Improve the code you keep, module by module, with tests added before anything is changed.
Re-architecture
Split monoliths where it helps, introduce APIs and move to cloud-native infrastructure.
Data migration
Move and clean data with reconciliation checks, so nothing is lost or silently changed on the way.
UI and UX refresh
Replace dated screens with interfaces your teams and customers actually want to use.
AI-ready foundation
Clean APIs and data models that let you add AI features and agents once the core is modern.
The Process
5 steps, each with something you can hold us to.
- 01
Discovery
We review the code, architecture, integrations and documentation, and reverse-engineer what isn't written down.
- System audit
- Pain points and quick wins
- Risk assessment
- 02
Planning
We compare refactoring, re-architecting and rebuilding for each part of the system and agree on a roadmap.
- Modernization strategy
- Phased roadmap
- Migration plan
- 03
Development
We modernize component by component, with automated tests and CI/CD in place from the first change.
- Clean, tested code
- Scalable architecture
- Updated UI where needed
- 04
Migration
Old and new run side by side while traffic and data move over in stages, with rollback ready at every step.
- Staged rollout
- Data reconciliation
- Live monitoring
- 05
Support
We stay on after launch with maintenance, documentation and training, and keep improving the system.
- Documentation
- Team handover
- Ongoing roadmap
How We Work
Why teams build this with us.
Technology
Proven tools we often reach for.
Go
Node.js
Python
React Native
PostgreSQL
Docker
Kubernetes
Terraform
AWS
Google Cloud
Should we rebuild from scratch or modernize in phases?
Usually in phases. A full rewrite stops new features for months and tends to rediscover old bugs. We rebuild only the parts where the existing code can't be saved, and refactor the rest.
Can you modernize without downtime?
In most cases, yes. Old and new components run side by side, and traffic and data move over gradually, with a rollback ready at each stage.
Our system has no documentation. Is that a problem?
It's common. Discovery includes reverse-engineering the code and data, with AI tools helping us read large codebases quickly, and talking to the people who use the system every day.
Can we add AI as part of modernization?
Yes. Sometimes an AI layer on top of the old system delivers value early; more often modernizing the core first makes AI features cheaper and more reliable to add.
How do we know if our software needs modernizing?
Common signs: changes take far longer than they should, only one or two people understand the system, it can't connect to new tools, or running and securing it costs more every year.
Thinking about legacy modernization?
Tell us where you are and where you want to be, and our team will get back to you with ideas, not a sales script.