Overview

A leading electric vehicle manufacturer adopts ET-Box (Edgenesis T-Box) to modernize their vehicle R&D data collection and telematics infrastructure. By replacing traditional Vector CANoe systems with ET-Box, they achieved transformative results: 60% cost reduction, 40% shorter development cycles, and 50% reduction in test vehicle requirements.

This integrated hardware-software solution combines plug-and-play ET-Boxes with a cloud platform, enabling rapid iteration and data-driven innovation across the entire vehicle development lifecycle.

Architecture Diagram

T-Box v.s. ET-Box

Use ET-Box for test-fleet data & remote ops; keep T-Box for production telematics.

T-BoxET-Box
What it is
An embedded telematics module in production cars that handles connectivity and basic telemetry/OTA.
Edge-to-cloud R&D data platform: a rugged in-vehicle edge device plus a cloud platform.
Primary purpose
Production telematics: connectivity (4G/5G+GNSS), remote diagnostics, eCall, OTA updates, and app services.
Fleet-scale road-test data collection and operations: plug-and-play install, time-sharing vehicle access, remote O&M, and real-time streaming to a data lake.
Where it runs
Inside the vehicle as an OEM ECU/module.
Test vehicles (edge box) + cloud control plane.
Scale & operations
Per-vehicle services; not designed for large-scale test-fleet ops and dev workflows.
Built for managing thousands of vehicles remotely; one-click rollback, session logs, and governance.
Data pipeline
Periodic telemetry/diagnostics; usually not high-volume raw data streaming for R&D.
Plugs in → Powers on → streams via 4G/5G/Wi-Fi → immediate data-lake ingest (no disk shuttling).
Users
After-sales/telemetry ops; consumer app features.
R&D/validation, data infra, DevOps teams.
Business impact
Cost driven by BOM and connectivity; value in lifecycle services and compliance.
Case study: −60% tooling cost, −50% test vehicles, −75% ops labor; ≈$10M annual savings.
Business Outcomes

Direct Cost Savings

Tooling Costs (~-60%): Reduced from $700k to $250k annually
Test Vehicle Fleet ($7M released): Decreased from 100 to 50 vehicles, freeing capital for other investments
Operational Labor (~-75%): Cut from $2M to $0.5M per year by eliminating manual data collection roles
Total Annual Savings ($10M): Direct measurable cost reduction
Outcome 1
Outcome 2
Outcome 3
Outcome 4
Outcome 5
ChallengeLegacy (Vector)Edgenesis SolutionImpact
Data Turnaround
Swap Drives; T+3 Days
Real-Time Upload
Same-Day Analysis
Tooling Costs
Expensive Tools & Staffing
Fewer Test Cars; Centralized Ops
~60% Cost Savings
Test Vehicle Fleet
Testing Car Tied Up All Day
Rent Testing Car By Hour
2× Vehicle Utilization, Half The Fleet
Remote Operations
Fly On-Site To Fix Issues
Fix & Restore Remotely
Travel Eliminated
Updates & Maintenance
Manual Installs Per Car
Update The Whole Fleet At Once
New Tests Live in Minutes

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Solution Architecture

Edgenesis delivered an integrated edge-to-cloud platform built on the Shifu framework, combining ruggedized edge hardware with cloud-native orchestration.

Plug-and-Play: ET-Box has a single cable connection to vehicle power supply and expansion ports. The system auto-detects vehicle model and pin configuration, reducing installation time and eliminating wiring errors.
Time-Sharing Vehicle Management: First engineer to scan QR code gets vehicle access, system automatically releases when session ends. Platform tracks all usage and prevents scheduling conflicts.
Remote Operation & Maintenance: Deploy configuration changes to thousands of ET-Boxes simultaneously. One-click rollback or restart when anomalies occur. There is no need for engineers to travel to test sites. Complete session logs and access records for enterprise governance.
Real-Time Ingestion: ET-Box powers on and starts streaming data via 4G/5G/Wi-Fi to cloud platform. Backend ingestion pipeline writes to data lake immediately, no hard drive copying needed.
Architecture detail 1Architecture detail 2

Cooperation Process

Edgenesis implements a structured professional cooperation process that includes:
Cooperation Process
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