nerou
About
nerou GmbH, founded in 2021 and based in Cologne, Germany, develops and operates nerou elements, a SaaS platform that serves as a digital operations assistant for wastewater treatment plants. Unlike black-box AI approaches, nerou employs mathematically transparent, self-learning algorithms trained on each facility's own historical data to generate control recommendations and operational insights. The platform achieves 10-20% energy savings on aeration through flexible, multi-parameter control strategies. nerou elements integrates with existing PLC and SCADA systems via MQTT over TLS-encrypted VPN connections, requiring no hardware modifications or firewall changes on the customer side. The platform comprises six core modules: Dashboard (traffic-light status indicators), Manual Analytics (plausibility-checked manual data entry), Measurement Values (central sensor data collection with ML processing), Decision Support (plant-specific algorithmic recommendations), Settings (flexible field configuration), and Data Export (configurable reporting). An initial Potential Analysis service evaluates optimization potential using two to three years of historical data. nerou holds ISO 27001 certification, operates on redundant German-hosted servers with no US cloud dependencies, and implements FIDO2/WebAuthn two-factor authentication. The licensing model scales by population equivalents, making the platform accessible for facilities from approximately 5,000 PE upward.
Key Products
Digital operations assistant for wastewater treatment plants featuring real-time data analysis, ML-based decision support, and control recommendations.
Plant overview with traffic-light indicators for key operational values and important notifications.
Error-checked input system for manual water analysis values with plausibility controls and historical record keeping.
Central collection and graphical processing of all sensor and manual measurements with ML-based data processing.
ML-based recommendations analyzing historical patterns to predict optimal plant control actions for each plant section.
Free sorting, grouping, and naming of measurement values with configurable data entry schedules including retroactive entry.
Flexible report generation and data download in multiple formats with configurable time spans and data frequency.
Real-time error detection using up to 10 parallel algorithms per measurement point to validate sensor data.
Data-driven aeration control reducing energy consumption by 10-20% through flexible, plant-specific control algorithms.
Algorithmic support for biological phosphorus elimination optimizing chemical dosing and aeration cycles.
Data-driven control recommendations for sewer system management without complex hydraulic simulations.
Initial assessment using 2-3 years of historical plant data to evaluate optimization potential before full deployment.
Secure VPN/TLS connection establishment between plant sensors and the nerou platform for real-time data transfer.
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