Modernize What Matters in 90–180 Days
Refactor, replatform, retire waste to ship faster, reduce risk, unlock AI-ready value.
Enterprise Application Transformation
For global enterprises, applications are the backbone of strategy, customer experience, and competitive differentiation. Legacy systems, however, often slow innovation, create operational risk, and increase costs. Our AI-powered Application Migration and Modernization Services transform these mission-critical applications into agile, intelligent, and resilient platforms, enabling organizations to innovate faster, unlock new business models, and stay ahead in a rapidly evolving digital landscape.
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Why Migrate and Modernize Applications?
Our Services
Expert-Led Services that Drive Measurable Growth
Our Services
Java Application Refactoring
Future-proof enterprise Java workloads.
- Workloads: J2EE, WebSphere, WebLogic applications
- Approach: Containerize, migrate to Kubernetes or PaaS
- Business Impact: Faster release cycles, reduced middleware cost, scalable architectures
SAP and ERP Transformation
Streamline core business operations with modern ERP platforms.
- Workloads:On-prem ETL pipelines, BI, reporting systems
- Approach: Migrate to cloud-native data platforms, modernize pipelines, integrate AI/ML
- Business Impact:Real-time insights, scalable analytics, faster data-driven decisions
.NET Application Modernization
Unlock performance and cross-platform agility.
- Workloads: Legacy ASP.NET, WCF, Windows Services
- Approach: Replatform to .NET 6+ or cloud-native containers
- Business Impact: Improved security, performance, and cloud-native innovation
Analytics and Data-Driven Application Modernization
Turn legacy data and reporting systems into insight engines.
- Workloads:On-prem ETL pipelines, BI, reporting systems
- Approach: Migrate to cloud-native data platforms, modernize pipelines, integrate AI/ML
- Business Impact:Real-time insights, scalable analytics, faster data-driven decisions
Our Technology
From Guesswork to Glass-Clear
Think of our modernization approach as a five-scene play: clear plot, no chaos, measurable win at the end.
Story: Before we move a single piece, we scan the board.
- Code reality check: automated scores for quality, security, performance.
- Business truth: usage, criticality, and ML-based ROI prediction.
- Architecture map: components, dependencies, microservice boundaries.
- Hidden links: AI finds data flows and “gotcha” integrations.
Outcome: a prioritized roadmap balancing risk, cost, value—no surprises.
Story: Not every app needs surgery; some just need a better home.
- Rehost: quick lift-and-shift with autoscale.
- Replatform: tune for better performance.
- Refactor: carve into services or containers.
- Rebuild: redesign with AI-assisted code patterns.
- Replace: match to SaaS where it simply makes sense.
Outcome: a tailored strategy per app that maximizes value, minimizes risk.
Story: Blueprints first, then fast, precise execution.
- Design: AI suggests cloud-native patterns that fit your scale.
- Plan: automated sequencing, data migration, resource allocation.
- Develop: AI-assisted code, refactors, and bug prevention.
Outcome: accelerated delivery, minimal disruption, enterprise-grade reliability.
Story: Trust comes from evidence.
- Auto-generated tests and edge-case discovery.
- Performance tuning with ML bottleneck insights and autoscale recs.
- Security checks: continuous scans, threat models, compliance proofs.
- UAT that mirrors reality: journey validation, behavioral analysis.
Outcome: secure, high-performing, production-ready applications.
Story: Launch is day one, not the finish line.
- Orchestrated releases: pipelines, canaries, predictive rollbacks.
- Smart ops: anomaly detection, failure prediction, auto-response.
- Always better: feature suggestions, tuning, predictive maintenance.
- Intelligent support: automated triage and fixes.
Outcome: resilient, optimized, continuously improving—aligned to business goals and ROI.
From Guesswork to Glass-Clear
Think of our modernization approach as a five-scene play: clear plot, no chaos, measurable win at the end.
Step 1: See the Whole Board — Intelligent Assessment & Analysis
Story: Before we move a single piece, we scan the board.
- Code reality check: automated scores for quality, security, performance.
- Business truth: usage, criticality, and ML-based ROI prediction.
- Architecture map: components, dependencies, microservice boundaries.
- Hidden links: AI finds data flows and “gotcha” integrations.
Outcome: a prioritized roadmap balancing risk, cost, value—no surprises.
Step 2: Pick the Smartest Path — AI-Driven Strategy Selection
Story: Not every app needs surgery; some just need a better home.
- Rehost: quick lift-and-shift with autoscale.
- Replatform: tune for better performance.
- Refactor: carve into services or containers.
- Rebuild: redesign with AI-assisted code patterns.
- Replace: match to SaaS where it simply makes sense.
Story: Not every app needs surgery; some just need a better home.
Outcome: a tailored strategy per app that maximizes value, minimizes risk.
Step 3: Build with Intelligence — AI-Powered Implementation
Story: Blueprints first, then fast, precise execution.
- Design: AI suggests cloud-native patterns that fit your scale.
- Plan: automated sequencing, data migration, resource allocation.
- Develop: AI-assisted code, refactors, and bug prevention.
Story: Blueprints first, then fast, precise execution.
Outcome: accelerated delivery, minimal disruption, enterprise-grade reliability.
Step 4: Prove It Works — AI-Driven Testing & Validation
Story: Trust comes from evidence.
- Auto-generated tests and edge-case discovery.
- Performance tuning with ML bottleneck insights and autoscale recs.
- Security checks: continuous scans, threat models, compliance proofs.
- UAT that mirrors reality: journey validation, behavioral analysis.
Story: Trust comes from evidence.
Outcome: secure, high-performing, production-ready applications.
Step 5: Keep Winning — AI-Optimized Deployment & Operations
Story: Launch is day one, not the finish line.
- Orchestrated releases: pipelines, canaries, predictive rollbacks.
- Smart ops: anomaly detection, failure prediction, auto-response.
- Always better: feature suggestions, tuning, predictive maintenance.
- Intelligent support: automated triage and fixes.
Story: Launch is day one, not the finish line.
- Orchestrated releases: pipelines, canaries, predictive rollbacks.
- Smart ops: anomaly detection, failure prediction, auto-response.
- Always better: feature suggestions, tuning, predictive maintenance.
- Intelligent support: automated triage and fixes. Outcome: resilient, optimized, continuously improving—aligned to business goals and ROI.
Why Korcomptenz?
Because you’ll see more than demos—you’ll experience transformation in action.