Why us?
Three words: innovation, reliability, excellence. Our software solutions are designed to meet the evolving needs of the EV charging industry, providing you with the tools to build and manage state-of-the-art charging infrastructure with confidence and ease.
🔧 Innovation
We build with modern tools and design our solutions with future needs in mind. Our software platform provides OCPP compliance, real-time monitoring, and powerful APIs.
🌐 Transparency
We develop transparently - our software is fully open-source with permissive licences - you can customize, extend, and deploy according to your specific requirements and use cases.
⚡ Charging Excellence
Our modular charge point framework supports both off-the-shelf and commercial components, and is designed for reliability and easy maintenance.
Our Products
Explore our suite of solutions designed for reliability, scalability, and ease of deployment.
🔌 ChargePi
Customize your charging point in minutes with our open-source framework
A modular charge point framework with OCPP support out of the box, designed for Linux devices including Raspberry Pi. Pairs hardware components with a clean software abstraction layer.
Key Features
- OCPP 1.6 with core, reservations & local auth
- Hardware-agnostic connector model
- RFID/NFC reader support (PN532)
- LCD display & LED indicator integration
- Power meter support (CS5460A)
- REST & gRPC API for custom integrations
Technical Details
⚙️ ChargeFlow CLI
Debug and verify OCPP compliance for charge points and management systems
A command-line tool for validating raw OCPP JSON messages against official schemas, generating compliance reports, and integrating with remote schema registries.
Key Features
- Validates OCPP 1.6, 2.0.1 and 2.1 messages
- Auto-detects request vs. response type
- Batch validation from newline-delimited files
- Human-readable compliance reports
- Custom & vendor-specific schema support
- Remote schema registry integration
Technical Details
🤖 OpenEV Data MCP
Query EV specifications through AI assistants via Model Context Protocol
An MCP server that exposes the open-ev-data dataset to AI assistants, enabling language models to query electric vehicle specifications through a standardized protocol.
Key Features
- Vehicle & manufacturer data endpoints
- Battery capacity & range specifications
- AC/DC charging capability details
- In-memory TTL caching (5 min default)
- Health check endpoint on port 9090
Technical Details
📋 ChargeFlow Registry Coming Soon
OCPP schema compatibility registry for charge points and CSMS backends