Ship the machine. Ship the monitoring layer with it.
Offer your customers real-time health, anomaly flagging and diagnosed callouts as part of the equipment you already sell. Deployed under your brand, aligned with your service model.
Product differentiation, aftermarket revenue.
Monitoring becomes part of what your equipment is - not a separate purchase your customer has to think about.
Deployed as part of your equipment
Ships with the machine. Configured to your equipment's sensor set out of the box. No integration burden on the customer to unlock the value.
Under your brand
White-label deployment for the customer-facing portal, alerts and reports. The monitoring layer looks and feels like part of your product.
Fleet-wide learning across your customers
Every failure signature seen on your equipment - anywhere in the deployed base - informs detection on every other unit. Diagnostic accuracy improves with fleet size.
Service-team visibility
Your service organisation sees the fleet the way your customers see individual machines. Failure signatures trending up across the base become visible early.
Fits your existing telemetry
Reads from the standard protocols your equipment already exposes. Or ingests from your existing telemetry pipeline if you already have one.
Data isolation per customer
Customer data stays isolated per tenant. Fleet-level learning happens on signatures and features, not on raw readings that would compromise a customer's data.
Pick an equipment type. Watch its sensor pulse move.
This is not a mockup. The waveforms below are being generated the same way we score real streams - learned envelope, drift detection, diagnosed callout. Pick a machine and watch an anomaly emerge.