How We Helped a European Startup Launch Scalable EV Charging Platform

We partnered with a fast-growing European e-mobility startup to build a comprehensive EV charging infrastructure platform that transformed their manual operations into an automated, scalable system. The solution now manages over 5000 charging stations across multiple countries, processes thousands of daily transactions through Stripe Connect, and delivers real-time insights that have reduced operational overhead by 65%.

5000+

chargers managed

65%

operational cost reduction

8-week

MVP delivery

Client Introduction

Our client is a pioneering e-mobility startup headquartered in Europe, dedicated to democratising EV charging access for businesses, residential communities, and commercial properties. Operating in a rapidly evolving market where charging infrastructure doubles annually, they needed a technology partner who could match their ambitious growth trajectory while maintaining operational excellence.

Industry: E-Mobility
Region: Europe (Multi-country operations)
Company Stage: Series A Startup
Primary Users: Property managers, fleet operators, EV drivers, facility administrators

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What We Did

We architected and delivered a cloud-native EV charging management platform that serves as the central nervous system for their entire operation. The solution includes a comprehensive admin dashboard for real-time monitoring and control, a public-facing website where drivers can instantly start charging sessions via QR codes, and a React Native mobile app that empowers customers to manage their charging experience end-to-end. We integrated AI-powered OCR technology that automatically reads and categorises installation invoices, and implemented Stripe Connect to enable seamless payment splitting between the platform and charger owners.

How We Did It

Our approach began with a two-week discovery phase where we shadowed operators, interviewed stakeholders, and mapped the entire charging ecosystem. We then moved into rapid prototyping, delivering a functional MVP within 8 weeks that included core OCPP integration and basic monitoring capabilities. The build phase focused on developing the full platform architecture with microservices for scalability, implementing the AI invoice processing system, and creating both web and mobile interfaces. Throughout the project, we maintained bi-weekly sprint cycles with continuous deployment, ensuring the client could start onboarding chargers while we refined advanced features.

Tech Stack & Integrations

Overcoming Challenges

Lots of charger brands (20+): We built one “translator” layer (based on the EV charging standard, OCPP) so all chargers talk to our system the same way—even if each brand has its own quirks.
Messy invoices in many formats: We use an AI model to read and process them. It’s accurate 94% of the time, and a human quickly checks the tricky ones.
Fast QR scans, even at rush hour: We keep frequently used data close to users and tuned our database, so scans respond in about 200 ms on average.
Complex payments with many parties: We set up Stripe Connect to automatically split payments, send instant payouts, and keep clear reports for reconciliation.

Result & Impact

Within six months of launch, the platform transformed our client's operational capabilities and market position. The automated systems eliminated manual bottlenecks, allowing them to onboard 100+ chargers weekly compared to their previous 10-charger limit. Real-time monitoring reduced average incident resolution time from 4 hours to 15 minutes, significantly improving customer satisfaction scores.

Qualitative Wins

Secured funding
Expanded to new countries
Launched white-label solution adopted by multiple enterprise clients
Achieved break-even 18 months ahead of projections
Achieved 4.5/5 app store and play store rating

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Frequently Asked Questions

How does the platform handle different OCPP versions and charger manufacturers?

We built a universal OCPP gateway that supports 1.6 protocols, with manufacturer-specific adapters for over 20 charger models. The abstraction layer ensures seamless communication regardless of hardware vendor, enabling true interoperability.

What's the accuracy of the AI invoice processing system?

The OCR system achieves 94% accuracy on standard invoices and continuously improves through machine learning. Edge cases are flagged for human review, ensuring 100% accuracy in final processing while reducing manual effort by 83%.

How does the payment splitting work with Stripe Connect?

Charger owners connect their Stripe accounts to our platform. When drivers pay for charging sessions, funds are automatically split according to configured percentages, with instant payouts available. The system handles refunds, disputes, and comprehensive financial reporting.

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Whether you're launching a new e-mobility venture or scaling existing operations, we have the expertise to build your next-generation EV charging platform.

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