Twincharge

Paris Charging Infrastructure

Twincharge

An agentic-GIS decision platform for public authorities to plan and coordinate public and private EV-charging investments.

Supported by: EIT Urban Mobility

Product Details

Designed for

Other

Maturity

Commercialised

Challenge Topic addressed

Mobility Energy

Twincharge changes the paradigm of EV charging planning. For the first time, the competent public authority, not fragmented private operators, holds control of how its territory EV charging infrastructure is planned and managed. Built on Voltaage's agentic-GIS decision platform, Twincharge forecasts charging demand street by street, selects optimal sites and simulates deployment scenarios balancing demand, grid feasibility, territorial equity and operator ROI. 

The authority can grant controlled access to territorial Charge Point Operators while coordinating public and private investment through a single, shared deployment plan. This ensures charging infrastructure is rolled out where citizens actually need it. A built-in AI regulatory assistant automatically generates the procurement documents (e.g. SDIRVE in France and PIR in Italy) required to secure public funding and launch tenders.

Stop guessing where to build. Take control of your territory's EV charging future!

Where to build the next ev-charger

The engine weighs demand, grid feasibility and competition, then pinpoints the priority new site:

It reveals where residential area lack charging

The surface reveals where residents lack private charging using official public data.

Opportunity-charging hotspots

It flags where opportunity charging pays off in the commercial and service hubs.

Traffic flows analysis

The engine flags the roads and gateways where transit and heavy-goods flows justify fast opportunity charging.

Parking available for installing a new ev-charger

The engine applies the LOM threshold (>20 spaces) to flag which car parks trigger a mandatory charge point - and which stay optional.

Cross check with grid and energy load availability.

Every candidate location is cross-checked against the LV/MV distribution network assuring the a low-cost, reinforcement-grid connection.

Where to build the next ev-charger

The engine weighs demand, grid feasibility and competition, then pinpoints the priority new site:

It reveals where residential area lack charging

The surface reveals where residents lack private charging using official public data.

Opportunity-charging hotspots

It flags where opportunity charging pays off in the commercial and service hubs.

Traffic flows analysis

The engine flags the roads and gateways where transit and heavy-goods flows justify fast opportunity charging.

Parking available for installing a new ev-charger

The engine applies the LOM threshold (>20 spaces) to flag which car parks trigger a mandatory charge point - and which stay optional.

Cross check with grid and energy load availability.

Every candidate location is cross-checked against the LV/MV distribution network assuring the a low-cost, reinforcement-grid connection.

Availability

Discover cities and markets where the product is available