Integrated factory data, production-grade AI monitoring
We guide OEMs and manufacturers toward Industry 5.0 with modular, scalable digital and AI solutions ready for production environments. We integrate, visualise and analyse factory data.
Break the silos, build a solid foundation
Ready-to-use connectors and a high-performance ETL/ELT engine to link any source (MES, ERP, IoT sensors, legacy databases), harmonise formats and make data immediately usable.
- Collect and validate data from heterogeneous systems
- Assess data quality and identify issues
- Prepare data for modelling and visualisation
FabBI: monitoring and reporting for every level of the factory
- Customisable interactive dashboards
- Automated reports and intelligent alerts
- Shop-floor visualisations
- Decision-support systems and collaborative sharing
From the Plant Manager to line operators: everyone accesses precise, up-to-date information to decide quickly, on quantitative evidence.
Three AI pillars for the factory
Every solution is developed with MLOps principles to ensure traceability, reliability and continuous updates.
Machine and process health monitored continuously.
Anomaly Detection
Continuously detects anomalous behaviour and process degradation, before it turns into downtime or scrap.
Predictive Maintenance
Anticipates failures and optimises maintenance interventions based on the real condition of the asset.
Quality estimated and controlled at no additional measurement cost.
Virtual Metrology & Soft Sensing
Estimates quality and complex process variables with no dedicated sensors and no additional cost.
Quality Prediction
Defect and scrap prediction to act on the process before a part goes out of spec.
Production planning and scheduling, optimised.
Advanced Planning & Scheduling
A scheduling engine with bottleneck optimisation and incremental recomputation as orders and constraints change.
Capacity & Materials
Rough-Cut Capacity Planning and material requirements (MRP) aligned to the plan: capacity and materials always consistent with the schedule.
Connected products and plants: field data feeding the suites
Telemetry from machines, devices and installed products — even when they are not industrial machines: connected devices, appliances, distributed plants. IoT data enters the platform through cloud, fog and edge architectures and feeds the analytical modules of the suites.
- Products installed at the customer: installed-base health and predictive after-sales.
- Production lines and plants: machine and process monitoring.
- Cloud, fog and edge enablement and IoT data integration: Statwolf Platform.
The same IoT data serves both suites: for the installed base at the customer see Service & After-Sales Intelligence.
