Electrapilot
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The AI · IoT · Cloud engine
behind Electrapilot

Beyond monitoring,
into active operations

Real-time control, optimal charger matching, anomaly alerts and linked delivery routing.

World-First

A system that operates, not one that just reports

Legacy telematics only 'reports' status. Electrapilot is the world's first active orchestration engine that forecasts, coordinates and executes.

CES 2027 · Innovation Awards Entry8 Patents · US 3 / KR 5CNN + LSTM + Agent AI
Legacy telematics
Electrapilot
Operation
Passive monitoring, reports status only
Active orchestration, real-time control & execution
AI structure
Rule-based alerts, no AI
CNN + LSTM + Agent AI
Prediction
No prediction (after-the-fact reports)
Battery demand forecast · +15% accuracy
Charging
Per-vehicle manual charging
10+ vehicles auto-orchestrated
Carbon
No tracking or monetization
−1.62 tCO₂e/vehicle · credit monetization
Architecture
ICE-derived system
EV-native purpose-built design
Platform Overview

One platform, the core of EV FMS

Four core functions that run electric-truck operations efficiently.

01

Real-time control

Collects and visualizes vehicle location and status every 5 seconds so you see operations at a glance and react instantly.

02

Optimal charger matching

Matches vehicle specs with live station availability to guide charging with the shortest wait and least detour.

03

Anomaly alerts

AI detects battery drain, charging delays and abnormal driving patterns in real time, early warnings extend vehicle life and cut maintenance cost.

04

Linked delivery routing

Automatically coordinates vehicle relays and re-dispatch to run more deliveries with the same fleet, cutting cost and time.

Core Capabilities

Five engines that power active operations

Predict, collect, orchestrate, act and decarbonize, all on one data layer.

Deep-learning AI prediction engine
01

Deep-learning AI prediction engine

CNN · convolutional networkAuto-extracts five external factors, temperature, humidity, road conditions, elevation, regen braking, to analyze their impact on battery drain.

LSTM · long short-term memoryLearns historical driving patterns and energy-use trends to forecast when and how much charging each vehicle will need.

IoT data collection & integration
02

IoT data collection & integration

Our in-house IoT device collects vehicle data in real time (+7V–+36V voltage range supported).

Linked to cloud, mobile and web so the driver app and operations dashboard feel like one system.

Charging orchestration engine
03

Charging orchestration engine

Combines station availability, vehicle schedules and traffic metrics in a weighted scheduler to generate minimum-wait, minimum-detour timelines.

Agent-Level AI
04

Agent-Level AI

Each vehicle runs its own AI agent that reads the situation and executes optimal charging and driving decisions on its own.

Beyond the ‘monitoring’ of legacy telematics, Electrapilot delivers proactive operation.

Carbon tracking & crediting engine
05

Carbon tracking & crediting engine

Automatically calculates and visualizes reduced carbon and converts it into carbon credits for ESG and monetization.

Security & Compliance

Security & compliance

Vehicle data and user information protected to recognized standards.

WCAG 2.1 AA · HTTPS · GDPR/CCPA ready

CSP · consent management (CMP) · end-to-end encryption

Vehicle data · user privacy · access control

Book an Electrapilot demo now

Experience the future of EV operations in a single app. We'll prepare a tailored demo and quote for your fleet.

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