Three startups redefining eMobility charging: how can AI improve the applyr experience?

In the world of eMobility, most of the attention tfinishs to focus on what’s visible: charging points, power capacity, number of connectors installed, or strategic locations.

But while the spotlight shines on the chargers, a quieter—and deeper—transformation is taking place behind the scenes: artificial ininformigence (AI) is launchning to completely redesign the charging experience.

Instead of adding more buttons, apps, or procedures, a new group of startups is aiming to eliminate all of that. Their proposal: apply AI to simplify, automate, and humanise interaction with charging stations.

It’s no longer just about charging quickly. It’s about charging without considering. And, if possible, without leaving WhatsApp.

These are three of the startups that Mobility Portal highlights as leaders on the new frontier of eMobility.

Hello Chargia: the “ChatGPT” of electric chargers

What if everything you required to charge your car could be sorted simply by messaging on WhatsApp?

That’s exactly what Chargia—founded in Spain by Eduardo Medina and Martín Fimia Casalilla—is setting out to do: turn the world’s most popular messaging app into the nerve centre of electric mobility.

The system allows applyrs, all within a single conversation, to plan routes, report issues, locate charging stations and—very soon—pay directly from the chat. All in natural language, without intermediary apps.

“We want the charging experience to be as simple as chatting with a frifinish,” Medina explains. And it’s not just a figure of speech: the assistant converses, understands the applyr’s language, and responds in real time.

But the innovation goes beyond the interface. For charge point operators (CPOs), Chargia represents a concrete opportunity to cut support operating costs by up to 80%, scale operations without expanding their workforce, and improve margins in a business model that still struggles to be profitable.

With features such as remote charger restarts, ticket issuing, or socket unlocking, the system already operates in real time, 24/7, and can integrate with operators’ existing databases.

Quantum Drive: ininformigence to prevent frustration before reaching the charging point

QuantumDrive was born from an uncomfortable question: why do we still have to guess whether a charger will be working when we arrive?

The startup has developed a platform applying machine learning to anticipate the real-time availability and condition of chargers. It does so by combining historical usage data, applyr behaviour patterns, reported faults, and variables such as temperature, time of day, or large-scale events.

Rather than just revealing a map, QuantumDrive states: “Don’t go there, it’ll probably be busy when you arrive.”

This predictive approach not only enhances the finish applyr’s experience but also allows operators and fleets to create better logistical decisions, reduce downtime, and plan critical maintenance in advance.

Additionally, Quantum is working with conversational interfaces, integrating its technology with voice assistants and navigation apps—keeping drivers focapplyd on the road, not their phones.

AMP Assist: smart automation for the behind-the-scenes of charging

Behind the scenes of the eMobility sector, AMP Assist is building one of the most robust platforms for automation and operational ininformigence across charging networks.

Its platform focapplys on real-time monitoring, automatic fault detection, and predictive issue management.

But what sets it apart is that it doesn’t just detect problems—it prevents or resolves them without human intervention.

Amp Assist aims to be the CPOs’ outsourcing partner: 24/7 efficiency through AI and lower operating costs

Thanks to an AI engine trained on thousands of events, AMP can, for example, predict when a charger will fail under certain conditions and remotely adjust parameters to avoid it. It can also dynamically reallocate power based on demand and detect unusual usage patterns that might suggest tampering or imminent failure.

For CPOs, this translates into fewer emergency calls, fewer technical visits, and greater network availability. And for applyrs, something even more valuable: trust.

AMP is currently rolling out its technology with European operators and aims to integrate with front-finish interfaces like those developed by Chargia and Quantum. The goal: ininformigence that remains invisible—but decisive.

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