Stop Fixing Failures.
Start Predicting Them.
HORUS Predict is predictive maintenance software for existing factories. It detects anomalies in vibration, temperature and electrical current days before a breakdown, using the sensors and PLCs a plant already has.
Motor #4 - Bearing Monitor
The Reactive Maintenance Trap
Over 90% of industrial maintenance is still based on fixing after failure. Relying on breakdowns keeps your team busy — but never ahead.
Unplanned Downtime
Expensive stops that kill profitability.
Missed Deadlines
Shipment delays damage client trust.
Excess Inventory
Hoarding spare parts "just in case".
Safety Risks
Emergency repairs often lead to accidents.
A 24/7 Digital Stethoscope
HORUS Predict acts as a digital stethoscope for your most critical assets. By deploying deep learning models directly at the Edge, it continuously analyzes high-frequency signals — vibration, temperature, and electrical current — to predict failures before they stop your production line.
No Guesswork
Data-driven insights, not gut feelings.
No Surprises
Eliminate the 3 AM breakdown call.
Key Capabilities
AI Anomaly Detection
Analyze vibration patterns to detect bearing wear, motor fatigue, and misalignment with high precision.
OGAT AR Support
Overlay live machine data and guided repair instructions directly onto the physical asset.
Digital Twin Sim
Test operational scenarios and validate maintenance actions in a virtual environment.
MTTR Reduction
Instant alerts enable planned interventions, preventing cascading failures.
Why Maintenance Leaders Trust HORUS Predict
Flexible Deployment
Deploy fully on-premise for security or cloud-enabled for remote monitoring.
High-Speed Sampling
Hardware-agnostic architecture ensures precise analysis of high-frequency data.
Industrial Grade
Designed to operate reliably in heat, dust, and high-vibration environments.
Frequently Asked Questions
HORUS Predict in practice
What does HORUS Predict monitor?
It analyses high-frequency vibration, temperature and electrical current signals with deep learning models at the edge, and warns of developing failures days before a breakdown.
Do we need new sensors or PLCs?
HORUS Predict works from the sensors and PLCs already on your machines and connects through industrial protocols such as Modbus, Siemens S7 and OPC UA.
Can HORUS Predict run on-premise?
Yes. It can be deployed fully on-premise for security, or cloud-enabled for remote monitoring.
How does it help the maintenance team?
Early warnings let teams plan interventions instead of reacting to breakdowns. In one FMCG plant, MTTR fell from 2.4 to 1.3 hours and unplanned downtime by 44%.
Protect Your Assets. Prevent the Stop.
Turn your maintenance department from a cost center into a competitive advantage.