Statistical Models
Deviation and anomaly detection grounded in custom models, each one built specifically for the use-case, not an AI black box. Statistical models ensure zero false positives and transparent root causes.
EV Charging Operations Platform
We combine statistical models with AI-driven automation to detect hidden issues and automate workflows, so you can run a more reliable and profitable charging network.
Deviation and anomaly detection grounded in custom models, each one built specifically for the use-case, not an AI black box. Statistical models ensure zero false positives and transparent root causes.
From ticket creation and escalation, to proactive reboots or auto-heal, our AI-driven automation integrates directly into any system. No need for platform change.
Build your own alarms. Automate your own workflows. No developers needed. Unlock the ability to build custom monitoring agents, and pair those with custom workflow automations.
Connect to any CPMS, backend, or ticketing system and start monitoring immediately.
Automatically reboot chargers, send emails or manage tickets based on detected issues.
Set thresholds, limits and conditions for alerts & workflows without writing code.
Each connector, charger and site gets its own performance baseline computed for every performance parameter.
Every alert links directly to session data, metrics, and logs. AI contextualizes the issue for you.
From charger event to ticket creation in under 60 seconds. Fix issues before drivers complain.
Proven for Europe's largest operators.
Statistical models trained on millions of unique charging sessions.
Statistical models deliver precision.
No blackbox, no noise.
Automate workflows and reduce manual handling.
From detection to resolution. No manual handoff.
Mean time to resolution reduced. Issues fixed before users notice.
Find hidden utilization-affecting issues and resolve them.
Providing our software for:
Charge Point Monitoring in Agentic Mode
Make your team twice as effective, your network reliable, and your customers happy.
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