Every month of delay costs speed, customers and euros.
We leverage generative AI to speed up 80–90% of repetitive coding. Fewer human errors, more focus on unique logic.
We connect new microservices safely to your existing core, keeping operations running while we modernise — stress-free for your team.
Ready for growth? Our cloud-native architecture doubles capacity at the press of a button. No more hardware pains, just happier end-users.
We prove the business case up-front with hard numbers: performance metrics, TCO calculations, ROI scenarios. You know exactly what you’re getting into.
Picture your software as a characteristic canal house. Charming, yet the wiring dates back to 1978 and the crawl space is damp. Do you demolish it? Or do you renovate cleverly, floor by floor, while the occupants keep sleeping?
Spartner builds a digital twin alongside your current production environment.
Users only switch over once every vital feature has been validated one-to-one.
Our internal models analyse legacy codebases and generate clean, tested modules.
Notably, teams report 30–40% fewer regression bugs as a result.
Together we calculate savings on licences, hardware and support.
What’s more, we simulate new revenue streams as soon as the API layer opens up.
faster release cycles (weeks, not quarters)
measurably less downtime
easy integration with BI, IoT and mobile apps
lower operational costs through cloud elasticity
future-proof architecture with microservices and event streaming
A step-by-step approach that delivers impact without disruption.
We begin with a read-only copy of production. Tests run in parallel, users notice nothing and we instantly see the real bottlenecks — no assumptions.
AI agents reverse-engineer processes and convert them into a Universal Application Model. This lets developers understand the “intent” behind the code, not just the syntax.
Domain by domain we create microservices: auth, orders, reporting. Each service gets its own tests, CI pipeline and versioning scheme.
Sub-step: Shadow traffic — live traffic flows to both old and new, so we can compare in real time.
We derive the design system from the current front-end, refresh it in React or Flutter and auto-generate wherever possible.
When metrics (latency, error ratio, throughput) outperform the legacy system we flip the feature flags. No big bang, plenty of relief.
After migration we expand: reporting dashboards, machine-learning recommendations, no-code workflow designers — whatever the business needs.
Ready to give your software wings again?
Schedule a coffee call with one of our modernisation architects. We’ll listen to your story, share honest insights and explore whether our AI-driven approach fits. No sales pitch, just a clear plan.
In practice organisations often stall on a single bottleneck, not the entire system. So tackle that one pain point first.
Cache read-intensive queries with Redis.
Bundle writes in an event queue to absorb spikes.
Use contract testing (for example Pact) between old and new services. That way you spot breaks before the deploy.
Install a lightweight observability suite: OpenTelemetry, Prometheus, Grafana. Because without numbers, performance is just a gut feeling.
Not every application lends itself to an AI-driven rebuild. A monolith with thousands of undocumented stored procedures can delay your project by months if you’re not careful.
Don’t hang all your digital dreams on modernisation. Keep releases small and incremental.
As mentioned earlier: without buy-in from finance and operations, the roadmap will stall — no matter how good the code is.
Sometimes you keep paying for old runtime licences for years. Check contracts early to avoid double costs.
AI models are already better at refactoring than the average developer on a Monday morning. Within two years, experts expect autonomous code maintenance to handle 50% of all simple bug fixes.
Code ages. AI agents that refactor daily keep your stack fresh — as if a cleaning crew sweeps through every night.
New tooling not only generates code, but also migration documentation in plain English. Handy for audits.
Let’s be clear: bias in code suggestions is a real risk. Strict review flows and model audits remain essential.
Yield.inc is a new asset manager in the Netherlands that focuses on excellent customer experience, sustainability and technology. When faced with the question of whether to develop our platform in-house or with a partner, we got in touch with Spartner. We are still 100% behind the choice for Spartner because we own the source code and with Spartner, a deal really is a deal, whether it concerns the delivery date or the agreed budget!
Hans Lugtenberg Partner at Yield Inc.
Spartner is involved and contributes in our search for innovations and always delivers top-notch work. After the first Huurda.nl version got out-dated, we collaboratively launched a completely new version in 2020.
Read moreNorbert Wegter Owner of 123wonen and Expat Homes Holland
Spartner has created a customized portal for us for the accountability of large-scale collaborative projects. This enables us and our partners to execute and account for their plans in a shared environment that is secure, transparent, and manageable. The pragmatic and flexible collaboration with Spartner has ensured that we have quickly achieved a functional and user-friendly environment.
Jurjen Terpstra Managing Partner at Wecreate Consulting
In 2020, we transferred the development of Lynn to Spartner. As a result of their fast development process, the Lynn platform achieves an increasingly central role in the legal world.
Read moreMarco Caspers Software Development Manager at Lynn Legal
Innovation and change are not always welcomed with equal enthusiasm by our employees, man is a creature of habit but as a company you have to dare to move forward and the need for a contemporary drawing program for the realization of various constructions with our Masterbloc bricks was high. For us but also for Spartner, this challenge was a bit of pioneering and together we had to overcome some hurdles to arrive at a beautiful and efficient business tool. A development and learning process for both parties, in which the feedback of questions and desired adjustments by our employees to Spartner was always in good consultation and we could count on quick feedback and targeted solutions. We continue to exchange experiences with Spartner and look back and forward to a successful collaboration.
Read moreBjorn Gubbels Owner of Masterbloc
With weekly calls, using our Azure DevOps sprint system, Spartner actively works together with our innovation, communication and software development departments.
Read moreMarco Leenders Head of Automation
The projectteam of the city of Groningen is very enthusiastic about the "Roomfinder" platform.
Read moreGemeente Groningen Projectteam
We requested custom help to a performance challenge we had in our implementation of Laravel Excel. I was amazed how quickly these Laravel artisans achieved significant performance gains, which saved us a lot of development time.
Read moreJosh Mountain Co-Founder at IncentivePilot.com
Throughout the great years that we cooperate with Spartner (previously Maatwebsite, Ed.), our software has been developed continuously. Students and landlords actively work with features like allocation, payments, chat, contract generation and more.
Read moreMaurice Evers Head of Student Housing Department
The pro-active approach of Spartner was crucial in understanding the complexity of the eHerkenning network.
Read moreMaarten Bremer CTO / Founder Ensured
.webp)
As jurists with knowledge of IT, we highly value quality; within code, but also in process. The high work-level and trustworthiness of Spartner gives us the capacity to continuously create innovative features.
Read moreNiels Winters Managing Director JuriBlox
Straightforward answers to the questions we hear most often.
No. Thanks to our shadow migration everything keeps running. Users will only notice faster load times once we go live.
AI agents perform best on popular languages (C#, Java, PHP, JavaScript). For exotic languages we combine AI with manual refactoring.
We follow zero-trust principles, token-based auth and encrypted service-to-service communication. We also run automated pen tests.
Yes. We decouple step by step. Certain stable modules can remain for the time being as long as they meet performance and security requirements.
On average within 12–18 months thanks to lower maintenance costs and higher productivity — but we calculate the exact figures in your business case.
We run migration scripts in parallel, execute checksums and have end-users confirm test scenarios. No data loss, complete peace of mind.
Certainly not. AI handles the boring work; your developers focus on innovation and customer-specific logic.
Absolutely. Our tooling produces complete audit trails and we operate in line with ISO 27001 and GDPR guidelines.
Whether you have a new idea or an existing system that needs attention?
We are happy to have a conversation with you.
Call, email, or message us on WhatsApp.
We have received your message. We will contact you shortly. Something went wrong sending your message. Please check all the fields.