Why start with AI in manufacturing now?
The technology is proven, the ROI is measurable and the competition is not waiting.
Predictive maintenance
AI analyses sensor data and predicts failures before they occur. Less unplanned downtime, lower maintenance costs.
Quality control
Computer vision detects deviations in real-time. Faster, more consistent and more accurate than manual inspection.
Smart quotations
AI calculates complex quotations in minutes. Learns from historical data, adjusts prices based on capacity and lead times.
Production optimisation
AI optimises planning, minimises waste and increases OEE. Real-time insights for better decisions.
From pilot to production
Manufacturing is leading in AI adoption. According to McKinsey, manufacturers using AI can increase productivity by 20-30% and reduce maintenance costs by 10-40%. And the technology is developing rapidly.
The latest AI models like GPT-5.1, Gemini 3 and Claude Opus 4.5 understand technical documentation, manuals and product specifications. Combine this with computer vision and sensor data, and you have a smart factory that optimises itself.
Concrete results
Less downtime: predictive maintenance reduces unplanned downtime by 35-45%.
Higher quality: AI inspection detects defects that the human eye misses.
Faster quotations: complex calculations in minutes instead of days.
Better planning: AI optimises production schedules and minimises waste.
How we implement AI in your production environment.
From initial exploration to working solution: we guide you through the entire process with a pragmatic approach.
Use case inventory.
Where are the biggest opportunities? We walk the shop floor with you and identify processes with the highest impact: unplanned downtime, quality issues or time-consuming calculations.
Proof of Concept.
Within weeks we build a working prototype. With real machine data or production information. We measure the results directly.
Integration & security.
We connect AI to your existing systems: ERP, MES, PLCs or SCADA. Always with attention to cybersecurity and OT/IT separation.
Scalable rollout.
From one machine to the entire factory. We train operators, monitor performance and continuously optimise. Start small, scale up when it works.
Projects in manufacturing
We have been working with companies in the production sector for years. From 3D configurators to smart calculation tools – always focused on measurable results.
Predictive maintenance
AI analyses sensor data from machines and predicts when parts need to be replaced. No more unplanned downtime, but scheduled maintenance at the optimal time.
Measurable results
35-45% less unplanned downtime
10-40% lower maintenance costs
Longer machine lifespan
Computer vision quality control
Cameras and AI inspect products in real-time on the production line. Defects are automatically detected and rejected, faster and more consistently than manual inspection.
Benefits
AI sees deviations that the human eye misses. Works 24/7 without fatigue. Every inspection is documented for quality reports.
Smart calculation & quotations
AI learns from historical quotations and calculates complex products in minutes. Takes into account material costs, capacity, lead times and margins.
Customised for your business
We train AI on your cost calculations and margin determination. The result: faster quotations that are more profitable.
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AI expertise for manufacturing
From concept to implementation.
We combine AI knowledge with understanding of production processes. Our approach: start small, measurable results, and scale up what works. Whether you want predictive maintenance or a smart calculation tool – we think along and build through.
"As a business you must dare to move forward"
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.
Powerful 3D construction drawing softwareBjorn Gubbels Owner of Masterbloc
"Higher occupancy rate thanks to our user-friendly platform"
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.
Custom built ERP for all student residencesMaurice Evers Head of Student Housing Department
"A professional software partner since 2010"
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.
Custom-built search engine for rental propertiesNorbert Wegter Owner of 123wonen and Expat Homes Holland
"Flexible collaboration with yearly updates"
The projectteam of the city of Groningen is very enthusiastic about the "Roomfinder" platform.
Real estate management software for student roomsGemeente Groningen Projectteam
"A deal is a deal"
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.
"AI and machine learning as legal tools"
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.
Lynn, the smart AI legal robotMarco Caspers Software Development Manager at Lynn Legal
Frequently asked questions about AI in production
Integration with existing systems, cybersecurity, ROI – we understand there are many questions. Here are the most common ones.
Does AI work with our existing machines and systems?
Almost always. We build integrations with ERP systems (SAP, Microsoft Dynamics), MES, PLCs and SCADA. We can often also equip older machines with sensors and connectivity.
What about cybersecurity?
Cybersecurity is our top priority. We respect OT/IT separation, work with encrypted connections and can run on-premise. Our solutions comply with IEC 62443 guidelines.
What is the ROI of AI in production?
The ROI depends heavily on the use case. Predictive maintenance typically saves 10-40% on maintenance costs. Quality control reduces waste. Smart quotations increase hit rate. We always measure the baseline beforehand so you can demonstrate results.
What does an AI implementation cost?
We often start a proof of concept from €15,000 to €30,000. Full implementations vary greatly depending on scope, number of machines and integrations. We work transparently with fixed prices or time and materials.
Do we need data science knowledge ourselves?
No. We take care of the technical side. However, it is important that your team contributes process knowledge – they know where the pain is and what is normal. The combination of domain knowledge and AI expertise delivers the best results.
How long does an implementation take?
A proof of concept is often ready in 6-10 weeks. From POC to production takes 2-4 months, depending on integrations and rollout. Our approach: start small, deliver value fast, expand what works.
