Cortex

Why it matters

Charging infrastructure is mission-critical for EV adoption and reliable mobility. Unexpected outages can disrupt fleets, inconvenience drivers, and damage customer trust.

By leveraging predictive maintenance, operators can address issues before they escalate, minimizing downtime and maintenance costs. Demand and load forecasting enables better energy management, reducing costs and supporting grid stability.

Context-aware alerts cut through the noise, surfacing the most relevant events and enabling faster, smarter responses. As your network grows, continuous learning ensures Cortex adapts to new patterns and challenges.

Core capabilities

Cortex delivers device- and site-level forecasts of failure probability, giving operators a clear view of risk across their assets. Anomaly detection with explainability helps teams understand not just what is unusual, but why—empowering effective troubleshooting.

The system recommends optimal rollout timing and load shifting strategies, balancing operational needs with energy costs. Events are enriched with suggested priorities and next steps, streamlining workflows and supporting proactive action.

API highlights

Cortex APIs provide actionable data for integration into your existing systems. Access maintenance risk predictions over 7–30 day horizons to plan interventions efficiently.

Get demand and load forecasts at site or group granularity to optimize energy consumption. Use rules-as-JSON to automate actions directly from Cortex insights, and receive real-time alert streams via webhooks or Server-Sent Events (SSE).

Who benefits most

Charge Point Operators (CPOs) use Cortex to improve uptime, meet SLAs, and deliver better service to their customers. Fleet managers leverage predictions and recommendations to balance operational needs and control energy costs.

Energy providers align capacity with demand, using forecasts and insights to support grid reliability and optimize infrastructure investments.