Demand intelligence
Forecast charging demand using temporal, weather, spatial and mobility signals.
ChargeOps AI is an AI-powered EV charging operations intelligence platform focused on demand forecasting, incident investigation, grounded knowledge retrieval, human-approved agent workflows, and operational telemetry.
ChargeOps AI is designed as an intelligence layer for EV charging operations rather than a claim to replace every charging-management function. The public project focuses on demand forecasting, incident investigation, grounded technical knowledge, human-approved agent workflows, and execution telemetry. Functions such as payments, roaming, billing, charger compatibility, and third-party integrations should be verified separately for each deployment.
Forecast charging demand using temporal, weather, spatial and mobility signals.
Investigate operational faults and organize evidence for faster human decision-making.
Retrieve EV-charging guidance from indexed technical knowledge rather than relying on unsupported model memory.
Coordinate AI-assisted operational workflows while pausing protected actions for human approval.
Inspect persistent runs, tool calls, latency, decisions and approval history.
Connect technical AI capabilities to multi-site EV charging operational workflows and evaluation needs.
See where ChargeOps AI fits, which capabilities are demonstrated today, and which functions should be verified as part of a wider charging technology stack.