¿Has your main machinery ever broken down in the middle of a production peak?
For a small workshop, print shop, or factory, an idle machine is not just a setback: it is money burning by the hour. You delay orders, pay overtime, and the emergency repair costs triple. The most frustrating part is that, almost always, the machine gave a warning with a strange buzzing sound weeks before collapsing, but nobody paid attention.
The trap of Traditional Reactive Maintenance
Relying on visual inspections every six months or waiting for smoke to appear is playing Russian roulette with your profit margin. Classic vibration sensors are expensive, complex to install, and require their own servers. Blind maintenance is the most expensive tax paid by local industry.
Our solution: Edge AI Acoustic Agent
At LANZA ESTUDIO, we have developed an acoustic analysis AI Agent designed for SMEs. Using low-cost industrial microphones connected to Edge devices, Artificial Intelligence "listens" to the frequency patterns of your motors and compressors 24/7, detecting micro-anomalies invisible to the human ear.
- Real-Time Frequency Analysis: The AI processes the sound spectrum locally, without sending audio to the cloud, guaranteeing privacy and zero latency.
- Early Wear Detection: It identifies bearing friction, cavitation, or imbalances weeks before a catastrophic failure.
- Automated WhatsApp Alerts: If the main motor changes its baseline pattern, you receive an immediate alert on your phone detailing the urgency of the problem.
- Integration Without Modifying Machinery: We do not touch your equipment. It is non-intrusive technology that works even on analog or discontinued machinery.
The Real Impact on Your Workshop or Factory
- Zero unexpected downtime: You schedule repairs when it suits you, not when the machine decides to die.
- Drastic savings on spare parts: Replacing a worn belt costs 50€; replacing the motor it destroyed when it broke costs 5,000€.
- Extended lifespan: Maximize the amortization of your heavy machinery by always operating it at its optimal acoustic point.