Lift-and-shift gets your application off a dying platform. But sometimes the platform isn't the problem. The application itself has outgrown its architecture, its language is unmaintainable, its data model can't support what the business needs today, or the people who can work on it are retiring faster than you can replace them.
Modernization tackles the application. The approach depends on the situation - and getting that right is why assessment comes first.
Assess
Understand the legacy system, its business logic, and its dependencies through our Legacy Assessment.
Plan
Define the modernization approach, target architecture, and phased execution roadmap based on your risk tolerance and budget.
Execute
Build, validate, and deliver - incrementally where possible, with continuous validation against the legacy system's behavior.
Transition
Cut over to the modernized system, decommission the legacy platform, and ensure your team is equipped to operate what we built.
Re-Architecture
Same business logic, modern structure
The application does what it needs to do - the problem is how it's built. Monolithic codebases that can't be modified without risk. Tightly coupled components where changing one thing breaks three others. We restructure the application's architecture - breaking monoliths into services, containerizing with Docker and Kubernetes, deploying on Azure, AWS, or Google Cloud - to make it maintainable, scalable, and operable by a modern engineering team without changing what it does for the business.
Language & Platform Migration
From COBOL, Informix-4GL, or proprietary languages to C#/.NET, Python, Java, and more
When the language itself is the constraint - because the talent pool is shrinking, the tooling is obsolete, or the runtime is end-of-life - we migrate application logic to modern languages and frameworks. COBOL to C#/.NET. Informix-4GL to Python and Django. Proprietary scripting to Java or Node.js. This isn't a line-by-line translation. We extract the business rules, validate them, and reimplement them in a stack your team can actually hire for, maintain, and extend.
Data Modernization
Legacy databases, warehouses, and data flows rebuilt for modern platforms
Legacy applications often sit on top of legacy data - Informix, flat files, proprietary formats, or databases with decades of schema drift and undocumented relationships. We migrate data to modern platforms like SQL Server, Postgres, Snowflake, or cloud-native services on Azure, AWS, or Google Cloud - restructuring schemas, rebuilding ETL pipelines, and standing up modern data warehousing while preserving every business-critical relationship and transformation.
Incremental Replacement
Replace the ship one plank at a time
Not every modernization needs to be a big-bang rewrite. In many cases the safest approach is to replace the legacy system piece by piece - extracting components, rebuilding them in C#/.NET, Python, Java, or React, and running them alongside the legacy system until each piece is validated and the old system can be retired. Your users see a progressively improving experience. Your operations never skip a beat.
Full Rebuilds
When the right move is to start from a clean foundation
Sometimes the legacy system is too far gone - the architecture can't be salvaged, the language can't be migrated incrementally, or the gap between what the system does and what the business needs is too wide to close with modifications. In those cases, we rebuild from scratch. But never blindly. Our assessment process ensures that every business rule, every data relationship, and every integration is accounted for before a single line of new code is written.
Ready to tackle the application itself?
Tell Us What You're Modernizing