Reduced Operational Expenses
Reduced Time To Resolution
Reduced Offline Duration
Our product is divided into four pillars that scale with the operational maturity of your charging network.
The essential foundation for a scaleable charging operation
Core alerts powered by Intelligent Detection
Automatic ticketing
Behavior interpretation and pattern analysis
Automatic resets and end-to-end monitoring
An intelligence layer for proactive operations
Advanced alerting
Custom AI integrations
Output variations, utilization, and success rates
Move from reactive to proactive stability
Structured insights for data-driven management
KPIs and statistics dashboard
Descriptive analytics and reporting
Scheduled and custom reports
Consistent reporting across your network
Infrastructure models for long-term optimization
CAPEX-focused forecasting
Infrastructure investment planning
Site-level optimization and smart pricing
Hardware replacement and competitive analysis
The core engine identifies issues in real-time, and an agentic infrastructure automatically initiates resolution flows and ticketing, using reinforcement learning techniques trained on historical data to enable instant identification of root causes and recommended actions.
It is achieved through the use of machine learning models to detect performance deviations relative to predicted patterns, that reveal hidden or indicate future issues.
It is achieved through dynamic visualization and benchmarking of charger, configuration, site and network metrics, allowing users to identify patterns, anomalies and improvement opportunities.
It is achieved through predictive modeling and scenario analysis that connect operational data with market, utilization and infrastructure trends to guide long-term decisions.
Supported by:
