Modernize legacy .NET Framework, VB6, COBOL, and Java EE applications incrementally — without big-bang rewrites that risk business continuity. Portfolio assessment first, phased migration second.
Legacy systems are often the backbone of the business — they process transactions, store decades of data, and run critical operations. They work. But they're holding you back in five very specific ways.
You can't hire developers who know VB6, Classic ASP, or COBOL. The engineers who built these systems are retiring, and the next generation never learned them. Every year it gets harder and more expensive to maintain.
Deployments require maintenance windows because the system can't be updated incrementally. Teams dread release day. A rollback means another weekend. The business slows to match the deployment pace.
Other systems can't integrate because there's no API. Data moves via CSV exports, manual copy-paste, and scheduled scripts. Every integration request requires custom work because there's no standard interface.
SOC 2, HIPAA, GDPR, and FINMA require controls that unsupported platforms can't provide — patching, encryption at rest, audit logging, access management. Every audit cycle, the gap between what auditors want and what the system can do widens.
No one fully understands the codebase anymore. The team works in fear — every change risks breaking something nobody expected. Documentation is years out of date. Institutional knowledge lives in people who are no longer there.
Specific technology migration paths with realistic timelines. These are the actual transitions we execute — not abstract consulting frameworks.
| Legacy Stack | Modern Stack | |
|---|---|---|
| .NET Framework 4.x / WCF / WinForms | .NET 8 / Blazor / Minimal APIs | |
| VB6 / VB.NET Windows Forms | C# / .NET 8 / React or Angular | |
| Classic ASP / ASP.NET WebForms | ASP.NET Core / React / Next.js | |
| Java EE / J2EE (WebSphere, JBoss) | Spring Boot / Quarkus / Micronaut | |
| COBOL (Mainframe) | Java / .NET / Cloud-native microservices | |
| AngularJS 1.x / jQuery / Backbone | Angular 17+ / React 18+ / Vue 3 | |
| On-prem SQL Server / Oracle | Azure SQL / PostgreSQL / AWS Aurora | |
| Monolithic PHP (Laravel 4, WordPress) | Laravel 11 / Headless CMS / API-first |
From
.NET Framework 4.x / WCF / WinForms
To
.NET 8 / Blazor / Minimal APIs
From
VB6 / VB.NET Windows Forms
To
C# / .NET 8 / React or Angular
From
Classic ASP / ASP.NET WebForms
To
ASP.NET Core / React / Next.js
From
Java EE / J2EE (WebSphere, JBoss)
To
Spring Boot / Quarkus / Micronaut
From
COBOL (Mainframe)
To
Java / .NET / Cloud-native microservices
From
AngularJS 1.x / jQuery / Backbone
To
Angular 17+ / React 18+ / Vue 3
From
On-prem SQL Server / Oracle
To
Azure SQL / PostgreSQL / AWS Aurora
From
Monolithic PHP (Laravel 4, WordPress)
To
Laravel 11 / Headless CMS / API-first
Not all applications should be modernised the same way. The right strategy depends on architecture, business value, timeline, and budget constraints.
Lift & Shift
Move applications to cloud or modern infrastructure as-is with minimal code changes. Fastest path with lowest risk — but leaves cloud economics and modern capabilities unrealised.
Update in Place
Update code to run on a modern runtime without changing architecture. Example: .NET Framework 4.x → .NET 8, Java 8 → Java 21. Preserves investment while unlocking modern tooling.
Cloud-Native Redesign
Redesign for cloud-native patterns — microservices, serverless, event-driven, containerised. Higher effort, but delivers the scalability and operational benefits cloud promises.
Rewrite from Scratch
Rewrite using a modern technology stack from the ground up. Only justified when the codebase is too brittle or on a platform (VB6, COBOL) with no upgrade path.
Adopt SaaS / COTS
Retire the custom application and replace it with a commercial off-the-shelf or SaaS product. The right answer when custom code adds no competitive advantage.
Most modernisation programs use a mix of strategies across the application portfolio. We help you choose the right approach for each application — not a one-size-fits-all answer.
From portfolio assessment to decommission — five sub-services that cover the complete modernisation lifecycle.
Structured inventory of your application portfolio — scored by business value, technical health, risk, and modernisation complexity — with a prioritised wave plan.
Learn moreFull rewrite of applications on end-of-life platforms using modern technology stacks — with AI-assisted code translation and automated test generation to accelerate timelines.
Learn moreTargeted changes to move applications to cloud-managed services — replacing self-managed databases, containers, and compute for better economics without a full rewrite.
Learn moreSchema conversion, data replication, and cutover execution for SQL Server, Oracle, and DB2 migrations to PostgreSQL, Azure SQL, AWS Aurora, or managed cloud databases.
Learn moreStructured identification and elimination of technical debt — dependency upgrades, security vulnerability patching, test coverage recovery, and code quality baseline restoration.
Learn moreCLEAR is Kansoft's five-phase approach to legacy migration — combining AI-assisted assessment, risk-sequenced wave planning, and incremental extraction to shorten timelines and eliminate big-bang risk.
AI-Powered Portfolio Scan
Every application scored by business value, technical health, compliance risk, and modernisation complexity. AI-assisted codebase scanning reduces assessment time by 60%.
Risk-First Wave Sequencing
Target architecture defined. Applications sequenced by lowest migration risk and highest business value — so early waves build confidence and deliver ROI before the hard migrations start.
Incremental Strangler Fig
Business logic extracted module by module using the Strangler Fig pattern. Legacy system stays live throughout — no maintenance windows, no all-or-nothing cutovers.
AI-Assisted Code Translation
AI tools translate COBOL to Java, VB6 to C#, and generate test coverage for undocumented logic automatically — reducing manual rewrite effort by 30–40% versus traditional methods.
Validated Cutover & Decommission
Live database replication keeps the legacy system current until cutover. Automated reconciliation validates row counts and business outputs. Legacy decommissioned only after full production sign-off.
AI-acceleration built into every phase
CLEAR combines AI-powered portfolio scanning, automated code translation, and self-generating test coverage — delivering modernisation timelines 30–40% shorter than traditional manual approaches, without sacrificing quality or business continuity.
We work with the modern platforms and purpose-built migration tooling to execute safe, validated modernisations at scale.
Modern Backend
Modern Frontend
Cloud Platforms
Databases
Migration Tools
CI/CD
AI-Assisted Modernization
AI-powered code analysis accelerates modernisation planning — automated dependency discovery, AI-powered code translation (COBOL → Java, VB6 → C#), and intelligent test generation for undocumented legacy codebases. AI-assisted approaches reduce modernisation timelines by 30–40% on average.
We've modernised legacy systems in regulated, operationally complex, and high-growth sectors across India, UAE, USA, Europe, and Australia.
Real legacy modernisations — measured in deployment speed, operational savings, and compliance posture.
Migrated a 15-year-old .NET Framework 4.5 electronic medical records system to .NET 8 + React, reducing deployment time from 6 hours to 12 minutes while maintaining HIPAA compliance and zero patient data exposure throughout.
Read Case StudyRewrote a VB6 production scheduling application to C# + Angular, enabling mobile access for floor managers across 12 facilities and reducing scheduling errors by 73% in the first quarter post-launch.
Read Case StudyModernised a COBOL-based loan processing system to Spring Boot microservices with an API-first architecture, cutting loan approval time from 5 business days to 4 hours and enabling real-time credit decision APIs.
Read Case StudyWe've modernised .NET Framework, VB6, COBOL, Java EE, and Classic ASP in production. We know where the bodies are buried because we've found them before.
Your legacy system keeps running throughout. We use parallel-run strategies and phased cutover so there's no moment where the business stops to wait for the modernisation.
We never recommend rebuilding what should be rehosted, or refactoring what should be replaced. The portfolio assessment defines the right strategy for each application before a line of code is written.
AI-powered code analysis and translation (COBOL→Java, VB6→C#) accelerates timelines by 30–40% and generates test coverage for undocumented legacy systems automatically.
Post-modernisation managed service is available from day one of production. The team that modernised your application can manage it — no knowledge gap, no ramp-up period.
Common questions about legacy application modernisation — answered directly.
