
XpiderWEB AI: Predictive Maintenance AI for Industry
Industry leading multi-model AI for predicting machine failures months in advance

Key Metrics
Industry-leading prediction
3mths
Predict failures up to 3 months in advance
Highly effective data
8m+ Hrs
Trained on 8,000,000 hours of real-world data
AI-Driven Insights
Xpiderweb
Unified Multi-Sensor Intelligence
XpiderWeb integrates ultrasonic, vibration, temperature, and electrical data streams into a single, coherent intelligence layer. By analysing these signals together instead of in isolation, it uncovers relationships and mechanical behaviours that traditional monitoring systems miss. This unified approach gives engineers a deeper, more accurate picture of machine conditions in real time.
Edge-Driven Processing
Rather than relying solely on cloud systems, XpiderWeb processes data at the edge. It filters noise, extracts features, and classifies mechanical behaviour locally, reducing bandwidth consumption and delivering faster insights. This edge-first approach is especially valuable in high-interference industrial environments, where clean signals and low-latency responses are crucial.
Private, Secure Architecture
XpiderWeb is engineered for environments where data ownership and privacy matter. All machine data stays within a secure, controlled ecosystem, with no dependence on external platforms. Clients retain full control over their operational information, ensuring compliance, confidentiality, and long-term autonomy over their industrial analytics infrastructure.
Scalable Industrial Deployment
Designed for factories of any size, XpiderWeb scales easily across floors, buildings, and multi-site operations. Its distributed architecture supports large sensor networks without performance loss, allowing companies to monitor hundreds or thousands of machines through one unified system. As needs grow, the platform expands effortlessly alongside them.
Key Features
Made for large teams and multiple locations
System Architecture
Secure cloud-native infrastructure
High-speed data ingestion
Low-latency edge-to-cloud syncing
Scalable multi-tenant backend
Encrypted data transmission
Monitoring & Analytics
Real-time machine diagnostics
Automated fault classification
Predictive maintenance modelling
Sensor fusion insights
Historical trend analysis
User & Management Tools
Customisable dashboards
Role-based access control
Automated alert workflows
API integration support
Scheduled reporting system




