Location data and APIs
We gather and clean data about charging, traffic, and local populations, then serve it through simple APIs so your team can plan networks on solid facts instead of guesswork.
Our forecasting study on IEEE XploreAI planning for EV charging networks
Plan your charging network on evidence, not guesswork.
MarkOne helps cities, energy providers, and vehicle fleets decide where chargers should go, what they will earn, and when to expand. Our models are trained on years of real charging sessions from public networks across Croatia, and the methods behind them are published in peer-reviewed journals.
30 minutes, no slides, no obligation. You leave with our honest read on your plan, from the engineers who would build it. We reply within two working days.
Our research appears in
Energy
Sustainable Energy, Grids and Networks
Energy Sources, Part A
IEEE SpliTech
What we do
We work with municipalities, charge-point operators, utilities and grid operators, fleet owners, and retail or real-estate teams who want chargers that actually get used.
Charging network intelligence
AI tools that help charging operators choose good sites, predict demand, set fair prices, and keep every charger as busy as it should be.
Our placement research in Energy Sources, Part AFleet electrification
We help companies move from petrol and diesel vehicles to electric ones, with clear analysis of which vehicles to switch first and a practical plan for the change.
Consulting and modeling
Practical strategy, data modeling, and an extra set of experienced eyes when you need help making electrification decisions you can trust.
Where we operate
Proven in Croatia, built for the whole region
Our models are trained and validated on years of real charging-session data from public networks across Croatia, and designed to travel to new cities and territories.
3+ years
of real charging-session data behind our models
1,000+
public charge points analyzed
25+
cities in our siting and demand dataset
Bring MarkOne to your region
We start with your open data and a 30-minute call, then tell you plainly what we can and cannot forecast for your territory.
Research
Software backed by peer-reviewed science
The models behind MarkOne did not start as a product idea. They started as research at the University of Zagreb's Faculty of Electrical Engineering and Computing. Daria Matković's published work on charging demand forecasting, dynamic pricing, energy market participation, station placement, and fleet electrification is the foundation of what we ship, and every paper below is public, so you can check our methods yourself.
Energy · 2025
Participation of electric vehicle charging station aggregators in the day-ahead energy market using demand forecasting and uncertainty-based pricing
Read it on ResearchGateSustainable Energy, Grids and Networks · 2025
Dynamic pricing strategy based on day-ahead charging demand forecasts
Read it at ScienceDirectEnergy Sources, Part A · 2024
Charging station placement optimization based on the location significance prediction
Read the paperSpliTech, Split · 2023
Day-ahead and intra-day forecasting of electric vehicle charging station energy consumption
Read it on IEEE XploreWe rely on data, not hunches
MarkOne started in Zagreb, where our founding team spent years researching EV charging at the University of Zagreb's Faculty of Electrical Engineering and Computing. We keep the company deliberately small, so the people you talk to are the same people who build your models and software. Our methods are published in peer-reviewed journals and conferences, so you never have to take our word for it. And if the numbers say a location will not work, we will tell you that too.
Tell us about your project
Two sentences are enough to start. We read every message ourselves and reply within two working days.
- You write. Tell us roughly what you are planning or where you are stuck.
- We talk. A free 30-minute call, no slides and no obligation.
- You get a plan. A short written proposal with scope and price, usually within a week.