Working with Turbit AI
Detect, investigate and remedy under-performance early. Turbit's AI infrastructure is fully automated and self-improving — with every confirmed alarm it gets sharper.
Trusted by
Fully automated and self-improving.
Three deployment phases.
01
Technical set up
Turbit AI learns each turbine's normal performance from historical SCADA data — wind speed, temperature, direction, turbulence intensity.
02
AI Monitoring | Turbit
Continuous simulation of normal behavior. Deviations arrive as automatic reports accessible via link or API.
03
Feedback loop
Evaluate each detection. The feedback continuously sharpens communication, detection and root-cause prediction.
A clear responsibility split.
TURBIT
- •In-depth root cause analysis
- •Video analysis for better communication
- •Dashboards for data quality and model performance
TURBIT
- •Verify root causes
- •Prepare preventive measure proposals for OEM or service
- •Reports and KPIs for internal and external communication
Customer
- •Acts on early diagnosis of potential component damage
- •Communicates with service partners and Turbit
- •Provides direct feedback after maintenance
See it in action.
Turbit at a glance
0+
Turbines monitored
0k+
Neural networks live
0%
Unplanned downtime cut Y1
0.0
Years earliest detection
0
MW under AI insurance
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See Turbit on your fleet
Backtest Turbit on the turbines where you already know something happened — or read how operators like VSB, Energiequelle, Enercity and Teut use Turbit on their fleets today.