Predictive maintenance AI
Sensor fusion, anomaly detection, and automated alerting tuned for OT environments.
8–12 weeks
Timeline
AI Core
Type
2
Deliverables
฿420,000
Starting from / project
Solution
This blueprint ships with delivery playbooks, artefacts, and guardrails so the path to production stays predictable.
Outcomes
- Cut unexpected downtime by 30-45%
- SOP playbooks for technicians
What you get
- Edge-to-cloud pipelines with alert routing
- Model registry and retraining recipes
Tech stack
Azure IoTKafkaDatabricksTensorFlow
Next steps
We will validate your use case, tailor deliverables, and align it with the right package tier.
Bring to the call
- Existing systems/data context
- Target business KPIs
- Timeline & stakeholders
Common Use Cases
Forecasting
Time-series forecasting for production and inventory planning.
Better planning accuracy
Anomaly Detection
Detect anomalies in data and processes in near real-time.
Faster alerts
Predictive Maintenance
Predict failures early to reduce downtime and maintenance cost.
Lower maintenance cost