Solutions
Built around how wind operators actually work.
Same platform. Different entry points. Every role sees the data they need, presented the way they need it.
Asset Managers
Spending days compiling performance packs from scattered data sources instead of analysing them.
- Automated monthly performance reports for every asset
- Loss attribution bridge: gross AEP → net AEP with cause codes
- P50/P75/P90 actuals vs. bank model comparison
- Portfolio-level dashboard across multiple sites
- Lender-ready export templates with confidence intervals
Reliability Engineers
Reacting to alarms rather than preventing the failures that cause them.
- Component heatmaps across 60-day rolling windows
- CMS drivetrain monitoring — vibration, bearing defect detection
- Per-second predictive algorithms for Pitch Battery, Hydraulic, MSF
- Failure probability scoring and MTBF trending
- Warning workflow: Awaiting Action → Action Taken → Acknowledge
Plant Operators
No single screen showing fleet state — juggling OEM tools, SCADA exports, and phone calls.
- Unified live dashboard: all turbines, all states, 10-second refresh
- Expected vs. actual power gap with highlighted deviations
- Integrated SCADA: Live Data, Commands, Logs, Monitoring pages
- Curtailment tracking and grid event logging
- Bell-icon notification centre: warnings and events in last 48h
Asset Owners & CFOs
Unclear whether underperformance is a wind resource issue, an O&M issue, or a SCADA issue.
- Loss attribution in MWh and revenue impact (USD/EUR)
- Availability and performance vs. contractual KPIs
- Capex/Opex planning supported by component lifetime data
- Audit-ready energy accounts for lender and tax purposes
- Executive dashboard with single-click drill-down
OEMs & ISPs
Providing remote diagnostics without a common data layer across diverse customer fleets.
- Multi-site, multi-OEM data normalisation layer
- Remote diagnostics access with role-based permissions
- CMS and SCADA data co-processed in one platform
- White-label reporting for end-customer delivery (PakWEA model)
- API integration with OEM service management systems
Energy Traders & Forecasters
Short-term forecasts divorced from real operational constraints like curtailment and maintenance schedules.
- 48-hour energy production forecast with daily/monthly error tracking
- Curtailment schedule integration for accurate dispatch
- P50/P75/P90 exceedance with seasonal confidence
- Market delivery vs. forecast reconciliation
- API feed for trading system integration
All personas share a single data model — no siloed tools, no duplicate entry.