Skip to content
AI-inside Private

Predictive Analytics & AI

Predict quality, failures and waste before they happen.

We turn your machine, sensor and quality data into models that predict outcomes in real time, geometric quality, dimensional deviations, equipment failures and process drift, so your teams act before scrap, downtime or rework occur.

Proven impact

50K€ Annual saving per line (destructive-test reduction)
48K€ Annual saving per line (predictive maintenance)
50% Faster defect root-cause analysis

What we deliver

Predictive quality: forecast part geometry and conformity before the part is finished
Predictive maintenance from servo-motor, vibration and current signatures
Real-time anomaly detection with automatic alerts (email / dashboard)
Smart SPC: predicting dimensional non-compliance in machining & aerospace parts
Root-cause analysis on cloud data (Snowflake, Robust Random Cut Forest)
Automated process-adjustment recommendations integrated with the line

Related case studies

Frequently asked questions

What data do you need to start?

Historical process, sensor and quality data, even modest, messy datasets. We assess feasibility first and tell you honestly whether the data supports a reliable model.

Do models run on-premise or in the cloud?

Both. We deploy at the edge for low-latency real-time inference or in your cloud (Azure, AWS, Snowflake) when you need cross-plant analytics.

Ready to put AI to work on your factory floor?

Book a free 30-minute assessment. We will review one of your processes and tell you honestly whether AI, vision or Industry 4.0 can move the needle, and what the ROI looks like.