Prospect EV sites where it matters

Evotrack reduces the time and risk of investing in new EV charging infrastructure for charge point operators and the real estate sector.

Our cloud-based platform EVOCAST locates and evaluates ideal charging sites with our state-of-the-art demand forecasts.
EVOCAST helps users navigate the complexities of planning a financially sustainable charging infrastructure.
Supported by

Explore what EVOCAST can do for you

Decide EV deployment cycles with latest market data

EVOCAST empowers its users to make informed decisions on new EV charging station deployment considering factors like footfall, infrastructure, and future competition.

Mapping the future of EV charging stations

Using state-of-the-art machine learning and a rich dataset, EVOCAST identifies prime locations in deploying new charging stations.

Powering predictive charging demand for network balance

With advanced data science, EVOCAST offers accurate insights, helping users to optimise station usage, mitigate hotspots, and balance network load through temporary price signals.

Aligning EV charging pricing with locational demand

Through forecasting hourly charging needs in local neighbourhoods, it determines which stations will be at high or low demand in upcoming hours, enabling pricing strategies to adapt to changing user patterns.

One click simulations

Rapid simulation of customised investment scenarios

Rich data and models

Access to site-specific demand forecasts and geospatial models.

Tracking market conditions

Competitive landscape analysis for prospective or existing sites.

Why choose EVOCAST?

EVOCAST harnesses state-of-the-art machine learning and extensive datasets to pinpoint optimal locations for new charging stations.

User-friendly GIS experience

Our user-friendly GIS interface offers seamless access to forecasts and interactive models. Users can explore indicators, filter data, and utilise mapping and analysis tools with ease, making the process of site selection and demand forecasting a breeze.

Decision making support

By analysing various factors such as power network capacity, vehicle routes, accessibility, traffic patterns, existing infrastructure, socio-economic data, and future EV adoption trends, our platform empowers users to make informed deployment decisions in complex scenarios.