Predictive Analytics
FACTO AI Engine
The cognitive layer of the Factomation platform. Machine-learning models running at the edge or in the cloud analyse time-series history, predict mechanical failures before they occur, and optimise process setpoints automatically.
Key Capabilities
Predictive maintenance (PdM) timelines
Automated anomaly-detection loops
Equipment health & degradation scoring
AI-driven process setpoint optimisation
Architecture & Specification
Models: LSTM / Isolation Forest · Runtime: ONNX edge execution · Latency: < 8ms.
How it runs
Local pipeline variables feed isolated ONNX runtimes on edge hardware, returning degradation metrics without routing raw data through slower network zones.
Performance Benchmarks
- Model runtime
- ONNX edge engine
- Inference latency
- < 8ms
- Anomaly models
- LSTM / Isolation Forest
- Training cycle
- Automated weekly
Built for these industries
- Predictive Frameworks
- High-Value Asset Corridors
- Multi-Site Operations
- Smart Fleet Logistics
Ready to deploy FACTO AI Engine on your plant?
Talk to our engineers about your existing PLCs, meters and network — we'll scope the integration for you.