Case study · Industrial AI
See risk before it becomes downtime
TurboWatch is a near real-time anomaly detection and predictive maintenance platform. One platform, every critical asset, clear action, built for operations, reliability and plant leadership.
The goal isn’t more alarms. It’s fewer surprises, with enough context that the right person can act in minutes, not hours.
TurboWatch · The design goal
The case file
From challenge to outcome.
Step 01
The challenge
Teams hunted across disconnected systems, so insight arrived late. Generic, static alarms created operator fatigue, and root causes were guessed by chasing single sensors.
Step 02
Our approach
A human-AI feedback loop. Sensors stream live data, AI ranks anomalies by severity, site experts mark each finding Correct, Incorrect or Needs review, and the models adjust to sharpen future detection.
Step 03
The solution
One command view of machine and sensor health. Live monitoring, severity-ranked alerts, historical profiling and centralized alarm and trip limits with an audit trail. Alerts follow your own plant rules.
Step 04
From late reaction to early action
- UnifiedProblems surface themselves in one command view.
- RankedContextual AI alerts ranked by actual severity.
- CorrelatedRelated sensors map the exact problem neighborhood.
FAQ
Questions about TurboWatch.
The short answers, in the order teams usually ask them.
What is TurboWatch?
TurboWatch is a near real-time anomaly detection and predictive maintenance platform from OSOL. It brings live sensor monitoring, severity-ranked alerts and historical profiling into one command view for every critical asset.
How does TurboWatch reduce alarm fatigue?
It replaces generic, static alarms with contextual AI alerts ranked by actual severity. Related sensors are correlated, so teams see the whole problem instead of one noisy signal.
Does TurboWatch follow our own alarm and trip limits?
Yes. Alerts follow your plant’s alarm and trip limits. Those limits are centralized with an audit trail, so changes stay traceable.
How do operators improve the AI?
Site experts mark each finding as Correct, Incorrect or Needs review, with notes. The underlying models adjust, which sharpens future detection.
Who can use TurboWatch?
Role-based access covers Admin, Management, Engineer and Operator, with granular permissions for each role.
How do we get started?
Pilot TurboWatch on your critical train or asset group. We show you the command view on your own data.
Pilot TurboWatch on
your critical train or asset group.
Bring the challenge. Bring the ambition.
We’ll show you what it looks like on your own data.