CustomAI

A Private AI Engine Built for Predictive Maintenance

This Custom AI solution gives clients their own closed predictive maintenance intelligence—powered by XPiderWeb’s 8,000,000 machine-hours of multimodal training data. Unlike general-purpose AI, it is engineered solely for diagnosing machine issues using vibration, ultrasonic, thermal, and electrical signatures, and runs entirely within a controlled, private environment.

Onsite Data Collection and System Integration

The project begins with engineers visiting the client’s facility to access machines, connect sensors, gather operational datasets, and understand real-world conditions. This onsite integration ensures the AI model is grounded in the client’s actual equipment behaviour, not generic assumptions, allowing it to detect subtle, context-specific changes.

Adaptive Learning From Client Operations

Once deployed, the AI continues learning from the client’s own machine data. Over time, it recognises site-specific wear patterns, environmental influences, and mechanical behaviours unique to that facility. This adaptive training steadily improves accuracy, fault specificity, and prediction reliability as more data is collected.

Complete Ownership and Secure Deployment

The entire system—model, data, and training pipeline—is deployed in the client’s chosen secure environment. No information is sent externally, ensuring full data privacy and regulatory compliance. The client permanently owns the trained model, giving them long-term independence, control, and the ability to scale predictive capabilities as needed.