Application
Re-Engineering Services
Rebuild what’s slowing your product down while it stays live and your team new ships features. Our application re-engineering company opens with a technical or AI readiness audit that names the smallest change fixing the problem, from a targeted refactor to a full rewrite.
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We meet your legacy software reengineering challenges
Let us fix or rebuild your software so that it can handle increased complexity, integration with new technologies, and accelerated speed to market.
Cut the maintenance and support costs
When most of your engineering hours go to keeping the current system alive, the money is lost in a few concrete places: brittle modules that break on every change, an infrastructure bill sized for a peak that rarely comes, release steps still run by hand and so on. We remove those, then hand over AI-assisted monitoring so the support process itself costs less to run after we leave.
Get the architecture ready for AI
AI features often fail at the architecture layer: business data locked inside a monolith with no API to reach it, no event stream to trigger on, records that no two modules define the same way, and nowhere to put a retrieval index. Our software re-engineering company audits which AI features your current architecture can carry today and which need a data layer built first.
Make your code faster and more scalable
Slowness is rarely uniform. Profiling points to the real bottleneck, usually a few slow database queries or a synchronous call that should have been a background job, not the whole system. We refactor or replatform the parts that actually strain under load, so you scale what's under pressure without paying to scale everything around it.
Introduce new functionality without breaking what works
When a straightforward feature takes weeks, the cause is usually structural. Re-architecting toward clear boundaries, an API-first core, and a cleaner feature model lets your team ship new capability, integrations, and AI features without bracing for side effects.
Stop losing enterprise deals to security review
We inventory the dependencies, sequence the upgrades that matter for your certification, and harden the infrastructure as part of the replatforming work instead of as a separate compliance project.
Our application re-engineering services
Ready-made AI agents and building blocks that accelerate application modernization services
Workflow agents
An agent that runs a repetitive multi-step process end to end, configured to your rules, handing off to a person at the points you choose.
Document and data extraction
Pulls the fields downstream agents need out of PDFs and scanned documents, normalizing across formats and filling gaps.
Data normalization and cleansing
Turns fragmented, inconsistent records into the clean structured inputs an agent needs to run without rework.
Portal navigation
Logs into external systems that expose no API, submits requests, and retrieves status updates.
Voice and chat automation
Handles inbound and outbound conversations across phone, chat, SMS, and email, including counterparties who only accept a phone call.
Human-in-the-loop review
Routes complex and edge cases to your team while agents handle the routine volume, with the reasoning attached.
Integration layer
Connects these pieces to the systems surrounding your product so data moves without manual handoffs.
Sensitive data redaction
Strips PHI and sensitive fields from anything sent to an external AI service and restores them in the interface.
Code refactoring
Re-architecting
Replatforming
Full rewrite
Our tech stack for software re-engineering services
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TypeScript - .NET
- Python
- Node.js
- Django
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Nest.js - React
- Angular
- React Native
- Amazon Web Services
- Microsoft Azure
- Google Cloud Platform
- Hetzner
- Digital Ocean
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Databricks - MySQL
- PostgreSQL
- MongoDB
- ArangoDB
- Redis
- Elasticsearch
- ClickHouse
- RabbitMQ
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AWS Kinesis - Apache Kafka
- Docker
- Kubernetes
- Terraform
- Ansible
- Puppet
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Vanta - Prometheus
- Grafana
- Datadog
Our application re-engineering process
Discovery, technical and AI audit
Environment setup
Iterative re-engineering
Verification and cutover
Support-process modernization
Explore more services from MindK
Software architecture consulting
SaaS development
API development & integrations
Cloud native consulting
Cloud migration
QA automation services
Healthcare AI consulting
Healthcare interoperability services
Ownership you can act on
Your team can easily pick the product up as MindK creates comprehensive documentation and the test harness during the re-engineering process.
Senior engineers with AI speed
AI runs through our delivery process for code generation, migration, test writing, and documentation. Architectural calls remain in the hands of expert engineers.
Product owner's mindset
That means saying when a piece of scope won't pay for itself, which is why an audit often comes back recommending less work than the brief asked for.
We modernize the support too
Most re-engineering projects end at handover. We provide the monitoring, test automation, and the release tooling that keep the cost curve flat after the engagement.
What
our
clients
say
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Yokoy
Talent Acquisition Expert, Yokoy
Switzerland The workflow was very effective
«The cloud migration project could be accelerated and we were able to focus on other topics within DevOps and Cloud. The workflow was very effective, the communication went very well and all deadlines were met. There were no issues whatsoever at any time. Their pace, level of service, and quality aren't always easy to find amongst vendors.»
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Per Otto Larsen
Head of CSR Services, CEMAsys.com
Norway High level of detail
and thoughtfulness«The level of detail and thoughtfulness of what they deliver is so good, that a simple explanation of the next idea serves as the basis for them to take it and turn into reality. MindK’s support allows us to focus on core business, product growth and our customers’ needs.»
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Jens Christian Bang
CEO, Already On
Norway MindK always finds a solution
«We've been successfully cooperating with MindK since 2010. What we were impressed with about people at MindK during all years of partnership — they never give up. We're not worried, as we know that MindK always finds a solution.»
Rebuild your software with MindK
Looking for application re-engineering services? Struggling to modernize legacy applications? Let us know about your technology challenges and we'll help you resolve them.
Our insights
FAQ
- How do I know if my application needs re-engineering or a full rewrite?
Start with what’s actually causing the pain. If the logic is sound and the problem is speed, structure, or cost, targeted re-engineering (refactoring, re-architecting, or replatforming) fixes it at a fraction of the risk. A full rewrite is justified only when the platform is unsupportable, the original product assumptions no longer hold, and patching now costs more than rebuilding. The technical audit answers this specifically for your product, and we recommend the smallest change that solves the problem.
- What is the difference between code refactoring and re-architecting?
Refactoring improves the internal structure of the code while its external behavior stays identical. It’s lower-risk and done continuously. Re-architecting changes the structure itself: module boundaries, how components communicate, and often a move from a monolith to services or microservices. Refactoring makes the existing design cleaner; re-architecting replaces the design when the design is the ceiling.
- How long does a typical application re-engineering project take?
It depends on the scope and how much of the system is affected. A focused refactor or a single-module replatform is measured in weeks. Re-architecting a monolith or a full rewrite runs months and ships in stages, so value lands along the way instead of at the end. The audit produces a phased timeline with the risky parts sequenced first.
- How much does legacy application re-engineering cost?
Cost follows scope. The main drivers are the size and age of the codebase, how much is undocumented, the depth of change (refactor versus rewrite), and any compliance or data constraints. The audit turns those into a concrete estimate and, more usefully, a sequence, so you can fund the highest-return work first and decide on the rest with real numbers in front of you.
- How do you handle undocumented legacy code?
We treat the running system as the specification. Before our software re-engineering services change anything, we read the code, trace the critical paths, and write characterization tests that capture what the system actually does today. That test harness becomes both the documentation you never had and the safety net that proves the re-engineered version still behaves correctly. AI-assisted code analysis speeds up the reading; engineers verify every inferred behavior.
- Can you re-engineer our monolith into microservices without stopping new feature development?
Yes, and it’s the normal case. We decompose incrementally using the strangler-fig pattern: new services are built around the monolith and take over its responsibilities one at a time, while the monolith keeps serving traffic. Your team keeps shipping features on the parts not currently being moved. A rewrite that freezes all new work for a year is the failure mode this approach exists to avoid.
- How do you ensure the re-engineered application works the same as the original?
Behavior is pinned before we touch anything. We capture the current system’s behavior in automated tests, then run those tests continuously as we re-engineer, so any deviation surfaces the moment it’s introduced instead of in production. Regression and end-to-end suites confirm the new product matches the original where it must, and the cutover is gradual, so you can compare old and new side by side before switching fully.