AI-driven application modernization services
N-iX modernizes legacy applications, data platforms, and infrastructure, cutting maintenance costs and improving system quality. Our pilots have raised engineering velocity by baseline 30%, measured before and after on production code.
Bosch, Siemens, eBay, and 90+ other enterprises build and modernize software products with N-iX
AI-driven legacy modernization – proven before it scales
N-iX helps organizations modernize legacy software, applications, infrastructure, and data platforms, so they meet today's demands for speed, scale, and security. AI stands at the core of our modernization approach, cutting timelines and costs by up to 70% compared to traditional refactoring. Every modernization project at N-iX follows AI-DLC, an AI-driven development life cycle where AI is a central collaborator. While AI handles the heavy lifting at every stage, our team still makes key decisions, so you modernize faster, without losing control or quality.
With over 2,400 AI-augmented tech specialists and 24 years of experience, we cover the full software engineering lifecycle. Our expertise spans software architecture design, bespoke engineering, cloud, DevOps & SRE services, data analytics, AI and Machine Learning, embedded software and IoT, and more. N-iX application modernization services will help you to reduce technical debt, revamp outdated tech stacks, strengthen security, integrate modern tools, and ship features faster than your current architecture allows.
Baseline 30%
velocity gain via AI delivery
0
cutover-related production outages in the last 10 programs
350+
active certifications across Microsoft, AWS, Google Cloud, Palantir, and other tech partners
90+
completed modernization projects
Key blockers that stall your application modernization, solved by N-iX
Undocumented portfolio
Hundreds of applications exist with no single inventory or owner. Gartner estimates 30-40% of them qualify as shadow IT.
Client proof:
US transportation leader
Value delivered:Built a single inventory, a unified architecture and platform, and a governance framework
Unknown business logic
Business rules are buried in legacy code with no clear owner. Industry benchmarks show that reverse-engineering of 10K lines takes up to six weeks.
Client proof:
German claim management company
Value delivered:Reconstructed and documented all business rules, locked in by a test suite before writing any code
SMEs leaving the company
When engineers leave the company, without documenting how the system works, that knowledge goes with them.
Client proof:
WorkWave
Value delivered:Cut UI scaffold generation from three months to one week, so knowledge no longer lives with individuals
Big-bang rewrites
This is the highest-risk path to modernization we see, as full rebuilds can run for years, without shipping value.
Client proof:
UK P2P lending platform
Value delivered:Shipped value continuously, cutting release cycles from bi-weekly to every three days
On-prem lock-in and cost sprawl
Without FinOps discipline, hardware, licensing, and multi-cloud spend compounds. As a result, lift-and-shift migrations often end up costing 2-3x more than staying on-premises.
Client proof:
Lebara
Value delivered:Cut infrastructure costs by up to 30% and made 97% of cloud spend visible
Continuity and quality assurance
Core platforms often run on end-of-life versions with little or no test coverage. As a result, enterprises spend up to 60–80% of their IT budget just keeping legacy applications running.
Client proof:
US SaaS provider
Value delivered:Built 21K automated tests and 70.2% line coverage before the upgrade, while the client’s team kept shipping new features.
Our AI-driven application modernization services
Modernization Assessment & Roadmap
Prioritize modernization investment by business value, risk, and cost
Business challenge: You lack a complete picture of your application estate and the business logic that drives it. As a result, it is unclear which systems to modernize first and what that will cost.
What we do:
- Portfolio discovery & inventory
- Application rationalization
- 7R disposition
- Target architecture vision
- Modernization roadmap & waves
- Business case, TCO, ROM estimates
What you get:
- Complete application inventory as the baseline for modernization decisions
- A defined modernization path for each application
- A phased roadmap and business case to support budget approval
Client proof: N-iX helped a leading transportation provider in North America assess 29 core applications and establish a single application inventory, a unified architecture, and a governance framework. Within two years, the company decommissioned 19+ core platforms and reduced maintenance costs by 30%.
Application Modernization
Modernize the applications that hold the business back
Business challenge: Your core applications depend on end-of-life frameworks and on knowledge that few people still hold. Consequently, most of the IT budget goes to keeping them running, and new capability is delayed.
What we do:
- Monolith decomposition
- Re-architecture & refactoring
- Technology modernization (C++, PHP, Java, .Net)
- Front end & UI modernization
- Desktop-to-web migration
- API & integration modernization
- Database modernization
- Cloud-native transformation
What you get:
- Key applications on a supported, modern technology stack
- Lower maintenance effort and shorter release cycles
- Value delivered in stages, not after a full rewrite
Client proof: During our partnership with a leading industrial company in Germany, we migrated its core transportation planning system from an end-of-life C++/.NET desktop application to modern .NET and Blazor. As a result, the unsupported stack was retired in 9 months.
Cloud Migration
Migrate legacy applications to the cloud without increasing infrastructure cost
Business challenge: Your applications run on infrastructure that is costly to maintain and hard to scale. Moving them to the cloud without a cost-controlled plan often increases spending instead of reducing it.
What we do:
- Data center exit
- VMware / hypervisor exit
- Cloud readiness & workload discovery
- Landing zone readiness
- Rehost, replatform, relocate
- Migration factory & waves
- Data migration
- Cutover, runbooks, decommission
What you get:
- Workload inventory and cloud readiness baseline
- A defined migration path for each application
- Phased migration in waves
- Controlled infrastructure cost throughout the migration
Client proof: Working with Lebara, we migrated its on-premises environment to Azure and AWS and modernized its ERP and CRM systems. The engagement helped Lebara cut infrastructure costs by about 30%.
Cloud & Platform Modernization
Transform the cloud platform your applications run on
Business challenge: Your cloud environment has grown without a unified platform. Architecture, delivery, infrastructure, and cost control are managed separately, which limits scale, security, reliability, and cost efficiency.
What we do:
- Cloud-native architecture
- Kubernetes & containers
- PaaS & serverless
- Platform engineering & golden paths
- Infrastructure as Code
- CI/CD & DevSecOps
- Observability & SRE
- FinOps & cloud cost control
What you get:
- Automated, consistent delivery from code to production
- Security checks built into every release
- Capacity that scales with demand
- Cloud spend that is visible and under control
Client proof: For Lebara, we re-platformed the integration layer that connects its business systems. Our experts also put cost visibility in place across its multi-cloud environment, covering 97% of cloud spend.
Continuous Modernization & Technical Debt Management
Sustain quality, security, and performance as your applications evolve
Business challenge: Applications that are not continuously maintained accumulate technical debt, outdated components, and security exposure. Over time, this erodes quality and performance and increases operating cost.
What we do:
- Technical debt management
- Dependency & framework upgrades
- EOL remediation
- Security vulnerability remediation
- Test modernization
- Performance & reliability
- Cloud cost optimization
- Architecture fitness measures
What you get:
- Supported frameworks and dependencies, with vulnerabilities remediated
- Tests that make every release safer to deliver
- Stable performance and reliability at an optimized operating cost
- Technical debt and architecture quality measured and kept under control
Client proof: Working with a P2P lending platform, we grew automated test coverage from about 500 to 10,000+ tests.
From 115% revenue growth to complete BSS transformation and beyond: Our clients’ success stories
Modernize legacy applications up to 30% faster with Pragmatic AI by N-iX
Generic AI coding tools learn from clean, documented code. Legacy systems run on the opposite: undocumented dependencies, workarounds nobody wrote down. That mismatch is why teams roll out AI tools and see faster typing, not faster modernization. N-iX offers a different data-backed Pragmatic AI approach with our AI Delivery Model and AI-DLC.
What our AI-DLC modernization approach delivers
What our clients received
- Modernization agents: Specialized bundle built for legacy migration, not general-purpose coding, applied during the pilot
- 20% minimum gain required for further scaling: Proof comes before rollout, not after
- Breakthrough story: Your first successful pilot packaged as a shareable case study with before/after data, ready for your board.
What our clients received
- 30% higher team velocity, measured before and after on production code
- 60% fewer bugs reaching production on a housing management platform modernized with AI-driven QA
- AI adoption up 78 points (13% → 91%) across teams, with governance in place
What AI changes: Real productivity gains measured across our modernization projects
What our clients say
Big advantage of working together with N-iX, is that we are very flexible in finding out the best possible way of achieving the goals.
I'm impressed with the quality of N-iX's deliverables and results. Their work is consistently good, we get the product we want out of it, and they deliver it on time.
The professionalism from N-iX is unparalleled. They can always get the job done.
What surprised me was how far the APEX framework reached beyond engineering. By month four, our business analysts, our QA team, and our developers were all running AI workflows. That's what got us into the top 5% on GenAI adoption within the EQT Group. We're still maturing our AI lifecycle, but N-iX gave us a spec-driven way of working that the rest of the organisation could pick up.
I think we work extremely well together with the N-iX. Reliable. In one word.
We’re impressed with the value for money they provide.
They are a brilliant combination of quality and speed!
Tech partnerships and certifications
N-iX has established strategic technology partnerships with AWS, Microsoft, Google Cloud, Snowflake, Databricks, and other technology leaders. These partnerships give our clients substantial support for migrations and modernizations, from accelerators to co-funding. In the last two years alone, more than 60 of our projects were co-funded with AWS.
Our technology leaders
Sergii Netesanyi
Head of Solution Group
Yaroslav Kisylychka
Director, Head of GenAI Value Lab
Mariya Miroshyna
Experience Design Lead
FAQ
Application modernization services include updating legacy applications, the data platforms they depend on, and the infrastructure they run on, so they perform better, cost less to maintain, and can support new features. At N-iX this includes architecture changes (breaking apart monoliths, moving to microservices), code changes (refactoring, re-engineering, language ports like Java to .NET), and infrastructure changes (on-prem to cloud migration, containerization). The goal is not a cosmetic update; it is closing the gap between what the system was built for and what the business needs from it now.
Modernizing legacy software can lead to significant benefits such as technical debt reduction, enhanced user experience, improved security, and increased agility. From a business perspective, it offers better customer experience, decreased time to market, cost savings, scalability, competitiveness, and productivity.
Yes, but only when the gains are measured, not assumed. Unstructured AI adoption often leads to marginal or difficult-to-prove improvements. N-iX uses its APEX framework to validate where AI can accelerate modernization, quantify the impact, and scale only the workflows that show measurable value.
We use AI in two ways for modernization projects. During assessment, APEX baselines your team's current workflows and pilots AI tools on production code to identify where technical debt remediation, refactoring, and re-engineering can realistically be accelerated. During execution, our GenAI R&D team applies generative AI directly to modernization deliverables, including PoC acceleration, code transformation experiments, and discovery-stage prototyping.
The software modernization process typically starts with an introductory call in order for you to understand the complexities of your existing systems and identify critical areas that need attention.
Businesses can achieve cost reduction through application modernization by optimizing their IT infrastructure and reducing maintenance costs. Modernizing applications often involves moving to cloud-based services, which can significantly lower hardware and operational expenses. Additionally, streamlined processes and improved efficiency from updated systems can lead to further reductions in costs over time.
N-iX has handled modernization at every level of complexity, from single-application refactors to full-scale transformations, drawing on 90+ completed projects across industries. That includes reconstructing undocumented business logic from legacy code with no clear owner, migrating entire business support systems in telecom, and modernizing regulated financial platforms where compliance and uptime cannot be compromised. Whatever the scope, the approach stays the same: assess first, prove value on a pilot, then scale.
It can, if it ships without checks. That's why testing, cost controls, and human sign-off on the important decisions all matter more, not less, when AI is writing the code. N-iX, for example, tests every AI-generated change against the original system's behavior before it ships, caps costs up front per team, and keeps decisions like scope changes or access control in human hands so speed doesn't come at the cost of quality.
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