EvoNex Pro is a Netherlands-based industrial AI analytics platform for renewable energy operations.
We unify OT/IT data (including SCADA and sensor data) to deliver real-time insights, forecasting, predictive maintenance and reporting automation.
EvoNex Pro is a Netherlands-based industrial AI company helping renewable energy operators turn SCADA and sensor data into actionable decisions.
Our platform integrates OT/IT data from SCADA, PLC/DCS, OPC UA, Modbus, SQL and time-series systems to create a reliable single source of truth.
The same data integration and AI analytics approach can also be applied to broader industrial and energy operations.
On top of this unified data layer, we provide AI forecasting, anomaly detection and failure prediction to support predictive maintenance and higher asset availability.
We also automate daily/weekly/monthly reporting and operational workflows, reducing manual work and improving data traceability for O&M teams.
EvoNex Pro is looking for Japanese partners for technology integration, pilot projects and co-development, especially with utilities, IPPs, OEMs and system integrators.
Key capabilities
• OT/IT data integration across SCADA, PLC/DCS, OPC UA, Modbus, SQL and time-series systems
• Real-time data standardization and a single source of truth
• AI forecasting, anomaly detection and failure prediction for renewable assets
• Automated daily/weekly/monthly reporting (reduced manual work and errors)
• LLM-powered operator assistant for troubleshooting and decision support
Use cases / Ideal partners in Japan
• Wind, solar, hydro and hybrid power plants (onshore/offshore)
• Utilities, IPPs, asset owners and O&M operators
• OEMs, EPCs and system integrators
• Pilot projects: forecasting, predictive maintenance, reporting automation
• Co-development and technology integration with Japanese partners
Connect SCADA, PLC/DCS, OPC UA, Modbus, SQL and time-series systems to build a reliable single source of truth for operations and analytics.
Enable production forecasting, anomaly detection and failure prediction to support predictive maintenance and improve asset availability.
Automate daily/weekly/monthly reports and operational workflows to reduce manual work, improve traceability and minimize human error.
Provide faster troubleshooting and decision support with a natural-language assistant powered by structured plant data and operational knowledge.
