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The system predicts
It analyzes usage patterns and knows which vehicle needs charging before its driver does.
Urban charging intelligence
The system decides. The energy arrives.
Invisible charging for fleets and urban zones. No fixed infrastructure. No action required from the driver.
Demand predictionNo civil worksNo driver interaction
+0
kWh delivered
0
operational incidents
0 min
avg. session
0×
vehicle availability
0×
charger utilization
The problem
EV charging is still active logistics: the driver decides when, searches for where, travels, waits. For fleets and users without a private charger, that's daily friction. Fixed infrastructure doesn't solve it. Chark does.
How it works
Data first. Energy second.
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The operation executes
The system decides which unit goes to which vehicle and when. The right person gets the instruction.
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The driver does nothing
The session opens, charges and closes on its own. Every charge improves the next prediction.
Operating modes
One ecosystem, three ways to deploy it
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Fleets and electric carsharing
Zone manager
The system generates the schedule. The operator executes it. Drivers receive their vehicles charged.
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Residential users
Self-service
The user picks up the nearest unit, connects it and returns it. The app guides every step.
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Parking lots and large venues
Parking staff
The system turns the parking into dynamic charging infrastructure. No construction, no fixed investment.
Sectors
Where Chark fits
Accelerated by LaNave de Madrid · Field-validated MVP · Predictive model operational
We're raising
Building the nervous system of urban charging.
Request deckGot a fleet or parking lot?
The system starts learning from day one of the pilot.
Talk to the team