With Vind AI, you can standardise how you evaluate business cases across markets, so you can be confident you have selected the very best opportunities, no matter their location.
Using Vind AI in the early stage of onshore project development increases the likelihood that a project becomes reality.
Mats Jønland
Business & Project Developer, Eviny
With Vind AI, you can test more potential sites for their technical, practical and financial feasibility much faster. By casting your net wider, it becomes easier to meet your project pipeline targets — and you can raise the quality of projects in that final pipeline.
By analysing a project more deeply at a much earlier stage, you can quickly weed out nonstarters. And where tweaks to a project can solve the problem, you now get critical information early enough that you still have room to make those project changes.
By testing many sites, we increase the chances of finding and improving the best. The more we put in, the more we get out.
Henrik Hveding
Project Developer, Hafslund
Running more scenarios quickly and easily in Vind AI means you can compare sensitivities across your portfolio, so you know the relative robustness of projects to changes in key factors like turbine cost or electricity price.
Vind AI lets you work in more and faster iterations of a project, increasing your responsiveness to changes. If inputs change, you can instantly update your analysis.
Compared to other tools, using Vind AI saves so much effort. In other tools for example you can’t easily change and reverse your choices.
Lisa Scheele
Technical Case Manager Offshore, EnBW
No two projects or wind developers are the same. Our tools are built with flexibility in mind, enabling you to tailor your ways of working and project-specific goals. We have designed the platform with an API-first architecture, making Vind AI easy to integrate with your existing systems. We know that juggling multiple software is a pain, and so we have made it as smooth as possible for you. From small-scale onshore developments to expansive offshore wind farms, the Vind AI platform adapts to your needs.
Vind AI helps us do a more thorough job early in the process. Project managers quickly get what they need — information that is crucial for us to decide whether to move forward with a project or not.
Solveig Ulseth
Head of Project Development, Aneo
The integrated data, advanced algorithm, analysis and collaboration tools—combined with the platform being built on cloud computing—enables our users to develop business cases much faster than with traditional ways of working.
With Vind AI, we can now have two people develop a business case for a new site in roughly four weeks. This is more than 5x faster than it would typically take using traditional ways, and this would also require a bigger team. Now, with Vind, you still need the engineers’ logic, so the tool is not replacing engineers, but we can work a lot faster.
Adam Verhoeven-Mrosek
Project Analyst Offshore, EnBW
Meet your projects’ sustainability objectives by designing for local community perspectives and environmental aspects from the start in Vind AI, using in-built data layers. Designing for sustainability at an earlier stage than in traditional offshore wind development processes supports Vårgrønn’s ambition of becoming an industry frontrunner on sustainability.
Vind AI empowers your in-house expertise, so you can increase control over analysis results—and get them quicker. With Vind AI, generalists can do specialist work. Specialists can work faster and smarter. By doing more in-house, you can strengthen confidence in your decisions.
Vind AI supercharges collaborative efficiency by bringing all project roles together in one platform, where your people across disciplines can work in parallel through real-time updates. From yield engineers and GIS analysts, to project managers and financial analysts — all project roles can be performed within Vind AI. This means your team works from a shared set of data and analysis—and built-in project history and commenting features streamline communications. Statkraft holds up improved communication and collaboration within the project team as the biggest gamechanger from using Vind AI (link to case story).
Vind AI handles your proprietary data securely. With role-based access control, you can easily ensure data and project confidentiality by assigning different user roles.
From day one, we built the platform around insights from industry partners, to make sure that it provides exactly what developers need to work faster and smarter, today.
Vind AI’s platform for offshore wind is trusted by Europe’s leading wind developers, including EnBW, RWE, Statkraft and TotalEnergies. Vind AI’s platform for onshore wind, launched early 2025, is trusted by developers like Aneo, Eviny, EnBW Sweden, Fenix Repower, Hafslund and NØK. We developed the onshore platform in close collaboration with renewable energy players like Eviny, Hafslund, OX2, and Cloudberry.
Every year, we have hundreds of meetings with our customers, and their suggestions drive further refinement and new features every single month.
Vind AI has emerged as a key player in the wind industry, leveraging cutting-edge technology and artificial intelligence to significantly accelerate the development of wind farms across Europe.
Diana Barrios
Head of Membership, WindEurope
