Vind AI equips you with the tools to evaluate, compare, and select the optimal wind farm locations, allowing you to identify, design, compare and validate park layouts within the same day.
Built-in wind, environmental and permitting data, together with real-time analysis allows you to assess new sites in record time. The data has global reach, making it easy to discover the best opportunities globally by evaluating and comparing geographies side by side.
By combining technical insights with integrated financial modelling, Vind AI ensures you can build a robust business case. Use embedded wind data and real-time production analysis to gain accurate LCoE estimates that are based on optimal design layouts. Account for factors such as wake effects from nearby wind farms and installation delays caused by local weather conditions, and compare multiple scenarios to assess the impact of various strategies.
Reduce project risk and enhance confidence in decision making by evaluating all aspects of the project early. Use more than 3,000 built-in data sources to investigate environmental and community impacts, such as visibility, noise levels, and shadow flicker effects. Easily generate visualisations that summarise your findings for communication with stakeholders, including management, regulatory bodies, local communities, and investors.
Unify technical disciplines and decision-makers in one collaborative interface. Access all project data in a single platform, with real-time updates that ensure a single source of truth. Built-in project history and commenting features simplify collaboration, making it easier to meet GIS, financial modelling, and environmental screening needs without switching tools.
Centralise all your wind projects in the Vind AI platform to streamline portfolio management. Easily compare projects side by side, including production analyses, LCoE estimates, and project status updates.
