Legacy modernization
Breathe new life into legacy systems with LLM-driven engineering.
Understand, document, refactor and connect the systems your business depends on, faster and with less risk than a big-bang rewrite.
The challenge
- Original developers have left and documentation is thin or missing
- Every change is risky, slow and expensive
- The system cannot connect to modern apps, mobile or AI
- A full rewrite feels too costly and too dangerous
What we do
Monolith to cloud-native
Refactor legacy monoliths into services using AI-assisted code translation, with engineers reviewing every change.
Extract logic and rules
Read outdated codebases to surface business rules, dependencies and data flows, then generate documentation and modern API wrappers.
Unstructured data and documents
Automate document processing and data extraction from legacy databases and files, with validation and exception handling.
Tests before change
Generate characterization tests that lock in current behaviour so we can change code safely.
Our approach
1. Discover
AI-assisted analysis of code, data and dependencies to map what you really have
2. Document
Auto-generated architecture maps, business-rule catalog and API contracts
3. Wrap
Expose legacy functions through secure modern APIs so new products can move immediately
4. Migrate
Replace modules step by step (strangler pattern) with tests guarding each move
5. Operate
Monitoring, performance tuning and knowledge handover to your team
Until we have verified client outcomes to publish, expect this: faster knowledge recovery, safer releases and a modern integration layer within weeks, not quarters — with engineers still owning every production change.
Questions
AI accelerates the work; it does not replace engineering. Every change goes through code review, automated tests and staged release.
Find out what it will really take to modernize.
Share a system overview and we will return a risk map, a phased plan and a realistic estimate.