Why SignalCraft?
No complex graphs. Just clear equipment status anyone can understand.
24-hour automatic learning
After installation, SignalCraft spends a day learning each machine's normal vibration and noise patterns, then sets its own baseline.
AI handles the judgment calls
No manual threshold tuning. AI tells normal from abnormal on its own, so operators can focus on running the site.
Power on, scan QR, done
Turn on the device, register it with a QR code, and the app connects. Learning starts right away.
From reports to action in one place
Live status, daily and weekly briefs, anomaly alerts, and maintenance logs — all in one view, ready to act on.
It starts with learning what normal looks like
SignalCraft listens to each machine's sound and vibration for the first 24 hours and builds a baseline. That makes every alert and status check afterward more accurate and less noisy.
Reports that speak your language
Instead of raw frequency charts, you get simple statuses like 'Normal / Caution / Alert', daily summaries, and failure-sign highlights that anyone on the team can read.