International logistics company
Product Engineering & Modernization
Gradual replacement of a monolithic transport management system
Our role: Dedicated 6-person team with a technical lead · with the client's IT team
DetailsArea 03 — Product Engineering & Modernization
We build and develop the applications your business runs on.
Data and AI are only useful through an application that works well. We build web applications, backend systems and APIs, and modernise legacy systems – with testing, release and a proper handover.
Area 03
Sound familiar?
CTO / CIO
Legacy systems and tech debt
- A large share of the development budget goes on maintaining legacy systems, not new capabilities.
- Knowledge of core systems is concentrated in a few key experts and external vendors.
- The modernisation roadmap has slipped for years because replacing the core is too risky for the business.
- Every new channel or product needs yet another point-to-point integration with legacy systems.
Delivery lead / Engineering
Delivery capacity and release risk
- Releases go out in rare windows, with long regression testing and code freezes.
- Because of tightly coupled architecture, even a small change needs several teams to coordinate.
- AI coding tools speed things up, but testing and code review have become the bottleneck.
- Internal and vendor teams lack shared quality standards and clear responsibilities.
Business / Operations leader
Regulation and business demand
- Data for DORA incident reporting and the ICT provider register has to be pulled together from several systems.
- Business requests wait in the backlog for months because changing legacy systems is costly and risky.
- Implementing regulatory changes eats the capacity meant for product development.
- Behind modern digital channels, legacy batch processing limits the customer experience.
Product Engineering & Modernization
How we help
01
Web applications
Business web applications and internal tools in React, Angular or Next.js, fitted to how users actually work.
02
Backend and APIs
Scalable backends in Java, .NET, Python or Node.js, with well-documented APIs.
03
Integrations
We connect payment, e-invoicing, partner and enterprise systems reliably and traceably.
04
Modernisation
We replace or rebuild legacy systems step by step, with parallel runs.
05
Testing and quality
Automated tests, code review and quality assurance, with processes certified to ISO 9001 and ISO/IEC 27001.
06
Release and operations
CI/CD, containers, Kubernetes, monitoring – so a release is routine, not a thrill.
Product Engineering & Modernization
How we start
Scoped project
One integration or module from start to finish
We take on a well-defined integration or module in full, with acceptance criteria agreed in advance.
- What we start with
- A well-defined feature or integration and its requirements
- What you get
- A tested, released, documented module
- Who works on it
- Dedicated developers, with a technical lead
Team extension
Experienced developers for your team
Our experienced developers join your in-house team and work to your processes and with your tools.
- What we start with
- A team that lacks capacity or specialist knowledge
- What you get
- Experienced specialists who fit in quickly
- Who works on it
- Java, .NET, Python, React/Node.js, Angular and mobile developers
Technology
Web applications, backend, APIs, modernisation of legacy systems, testing and release.
Frontend
React, Next.js, Angular, React Native
Backend
Java / Spring Boot, .NET, Python, Node.js
Infrastructure
Docker, Kubernetes, AWS, Azure, CI/CD
Integration
REST, OAuth 2.0, message queues, event-driven architecture
Case studies
All case studies Automotive supplier
Product Engineering & Modernization
Web-based production planning app built on the data platform
Our role: End-to-end application development · integration with the client's data platform
DetailsFAQ
Product Engineering & Modernization
Do you take on fixed-scope projects?
Yes. We take on a well-defined module or integration with handover criteria agreed in advance; billing can be based on effort or a fixed price.
Can you work in our existing codebase?
Yes, that is how we usually work. We follow your coding standards, tools and release process.
How quickly can you start?
That depends on the task. After the first conversation we put the team together, and we can usually start within a few weeks.
What happens at the end of the project?
We close with documentation, training and joint acceptance, so your in-house team can take it forward on its own.
The first step
Work with us
Bring a specific data or AI problem.
In 30 minutes, one of our experienced engineers talks through the situation with you and what it would take to solve it. Not a sales pitch.
Data platform and AI feasibility assessment
For one selected business need, we look at which data and integrations are needed, what is missing, and in what steps it makes sense to deliver it.
Enterprise knowledge search or impact analysis
We deliver one well-defined use case, with data sources, access rights and quality expectations agreed in advance.