Edge AI · Industrial
Digitize the veteran technician's ear for machine failure.
A plug-and-play predictive-maintenance system for traditional manufacturing: real-time detection at the machine, deeper analysis in the cloud — no coding, no parameter tuning.
- 3 steps
- install, listen, detect — no data labeling
- Non-invasive
- a pickup clamps onto the machine; immune to background noise
- 24/7
- quantified monitoring, including lights-out night shifts
Features
What it does
Simple to install
A vibration pickup attaches to the machine's metal body. Pure physical contact — factory air noise doesn't reach it.
Learns “normal” on its own
On power-up it listens to the machine running well for a few minutes and builds its own health baseline. Nothing to label.
Tuned for many operating modes
On-device models are trained for four modes: cyclic impact, complex machining, continuous running, and dynamic variable-speed.
Alerts, then a plain-language report
A red light the moment something sounds wrong; the cloud then turns the pattern of events into a readable operations report.
Different
How this is different from what came before
No AI project required
Most factory AI monitoring needs data science and tuning. This is set up by the person on the floor in minutes.
Judgement becomes data
It replaces “the senior tech thought it sounded off” with a quantified, 24-hour record you can act on and audit.