AI That Improves Production, Not Just Reports
Dutch manufacturers and infrastructure companies operate at scale with thin margins and growing regulatory obligations. We build AI that delivers measurable operational impact — predictive maintenance, quality automation, and ESG data pipelines that actually work in production.
The operational challenges we solve
Manufacturing and infrastructure companies produce enormous volumes of operational data that largely goes unused. We build the AI layer that turns sensor data, ERP records, and production logs into decisions.
Unplanned equipment downtime
Production line failures cause costly stoppages. Most organisations still react after failure rather than predicting it — because sensor data sits in isolated silos with no analytics layer.
Quality control at scale
Manual inspection on high-volume production lines is too slow and inconsistent. Defect detection that relies on human eyeballing misses patterns that only become visible across thousands of data points.
Fragmented supply chain visibility
Demand volatility in building materials, infrastructure components, and industrial goods is hard to forecast when order data, inventory, and logistics live in separate systems with no aggregation layer.
ESG and CSRD reporting pressure
The EU CSRD, EU Taxonomy, and Dutch Klimaatakkoord require granular, auditable emissions and sustainability data. Most manufacturers still extract this manually from disparate systems every quarter.
What we build for manufacturers
Each engagement starts with your data, your equipment, and your operational constraints — not a generic template.
Predictive Maintenance
ML models trained on sensor data from production equipment — identifying degradation patterns days before failure. Reduce unplanned downtime by up to 40% and extend asset life.
Automated Quality Inspection
Computer vision and statistical process control models that detect production defects in real time — eliminating end-of-line rework and reducing waste on high-volume lines.
Demand Forecasting & Inventory Optimisation
ML-powered demand forecasting that accounts for seasonal patterns, project pipelines, and market signals — enabling leaner stock levels without availability gaps.
ESG Data Pipelines & CSRD Reporting
Automated collection, aggregation, and quality-checking of Scope 1, 2 & 3 emissions data across facilities — producing auditable CSRD-ready reports without quarterly manual effort.
Supply Chain Analytics Dashboard
Unified operational intelligence across procurement, production, and logistics — real-time KPIs, anomaly alerts, and scenario modelling for supply chain managers.
Energy Consumption Optimisation
AI models that identify inefficiency patterns in energy consumption across production facilities — reducing cost and supporting sustainability targets.
Ready to put your operational data to work?
We start with a data audit — understanding what you have, where it lives, and what AI outcomes are realistically achievable within your existing infrastructure.
Book a Free Discovery Call