Sees what OCPP can't.
When your dashboard just says "online", our models analyze the physics of a healthy charging session. They catch Deep Energy Drops, Ghost Draws, and Stuck Power - events that never trigger a standard error code.
Purpose-built AI that speaks the language of charging
Not a chatbot. Not a dashboard with a prompt box. Three transformer models trained on millions of real EV charging sessions, each laser-focused on a different layer of the physics.
CSAR-1M
The same Transformer architecture behind GPT - but purpose-built for EV data. Trained on thousands of sessions to learn the "physics" of healthy charging without manual labels.
Transfer Learning
Once the AI understood "normal," we taught it to categorize "abnormal." It now surpasses human experts, discovering anomaly types that were previously invisible to operators.
SHADE
Our flagship unsupervised, self-learning model. SHADE baselines the unique "physics" of every charging connector and location. It identifies deviations with surgical precision, triggering autonomous resets or smart triage without any human oversight required.
7 invisible threats your monitoring misses
Automated session forensics. Identifying "unhealthy" behaviors even when no formal error is reported.
Deep Energy Drop
Sudden, unexpected plunges in power output mid-session that standard monitoring completely misses.
Charging Missed
Vehicle connected, session started - but zero energy transferred. A silent revenue killer.
Ghost Draw
kWh accumulation where the AI determined energy should not be flowing. Billing time bomb.
Stuck Power
Impossible decreases in kWh accumulation - a critical data integrity red flag.
Micro Charge
Sessions under 2 minutes or ending without meaningful activity. Noise that masks real problems.
False kWh Count
kWh accumulation rate inconsistent with connector measurements. Your billing data is lying.
Unexpected Charge Level
Abnormal SoC fluctuations deviating from established charging curves. Hardware degradation signal.
From passive observation to active resolution
Finding an anomaly is only half the battle. Our Network Intelligence doesn't just light up a dashboard, it acts as a Level 1 Support Engineer.
The Self-Healing Network
Soft failures trigger automatic webhooks. SHADE identifies stuck sessions and communication hangs with high confidence, and fires a secure reset to your CPMS.
The Augmented Technician
Hardware faults generate diagnostic tickets with root cause already identified. Your team arrives with the answer, not the question.
From raw data to resolved issue. In seconds.
Shift from reactive troubleshooting to autonomous resolution. Reduce your Mean Time To Repair from hours to seconds.
| The manual way (3 hours) | The AI way (3 seconds)  |
|---|---|
|
|
| Frustrated driver, wasted OpEx. | Resolution Time: Session restored before the driver even unplugs. |
From session awareness to network autonomy
A 4-stage evolution roadmap for scaling EV charging infrastructure with AI.
Intelligent Detection
Pinpoint exactly when and why a session fails using CSAR-1M. 97% accuracy in detecting anomalies without needing OCPP error codes.
Health Scoring
SHADE learns the unique baseline for each station. It knows the difference between a grid dip and a hardware fault — and only alerts you when it matters.
Automated Action
Full closed-loop automation. Integration of weather, local events, and traffic data. LLM-powered natural language queries: "Why did revenue drop in Berlin yesterday?"
Network Intelligence
Total grid and portfolio orchestration. The AI optimizes the entire network at once — load balancing, energy distribution, scaling guidance.
