#1: Is my company too small for predictive maintenance?
No. The size of the company is not a limiting factor. What matters is the criticality of your equipment. If a breakdown is expensive, predictive maintenance is profitable.
#2: How many sensors are needed?
It depends on the complexity of the machine. We often start with the most critical assets to prove value quickly (an “MVP” - Minimum Viable Product approach).
#3: What data can predictive maintenance analyze?
Vibration, temperature, ultrasound, power consumption, etc. Soralink’s AI crosses this data to detect patterns invisible to the human eye.
#4: How much does it cost?
Soralink offers a “Maintenance-as-a-Service” (MaaS) subscription model, which avoids heavy Capex investments and transforms maintenance into predictable Opex.
#5: How can your solution predict breakage and failure?
- Collection: Wireless sensors installed in minutes.
- Analysis: AI compares real-time data with normal behavior models.
- Alerts: Immediate notification as soon as a deviation is detected.
- Optimization: Continuous improvement of detection thresholds based on history and feedback.