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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.