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Yes. Vind AI holds ISO/IEC 27001 certification, independently audited and verified by Insight Assurance. ISO 27001 is the international standard for information security management, so certification means our controls have been assessed against independent criteria and met them. Data is encrypted in transit and at rest, and recognised third parties run penetration tests regularly. Full documentation sits in our Trust centre.
You control access per project and per resource. Each user gets full access, editorial rights or view-only on any given project. Beyond projects, you set permissions on shared organisational resources in the Library, so technical specialists can own turbine, cable and GIS specifications across the company without seeing commercially sensitive project data they do not need.
Vind AI was founded in Norway in 2022 by Helene M. Bøhler, Jan Tore Horn and Hilde Njøten, who previously worked together at Spacemaker. DNV Ventures invested in 2026 alongside a technology partnership on CFD machine learning. Leading developers including EnBW, RWE, Statkraft and TotalEnergies use the platform, and it has been built in close collaboration with them since the first version.
Yes. Every result traces back to its inputs, so you can follow a number from the AEP figure through to the wind data, turbine specification and layout that produced it. Change one input and everything downstream updates, with the previous version still available. Nothing in the platform is a black box, which matters when a result has to be defended internally or to a lender.
They usually run the validation themselves. Vind AI gives yield specialists the model inputs, assumptions and wake settings to inspect and adjust, so the review happens inside the platform rather than against it. Teams that already run a specialist tool keep it, and use Vind AI upstream to get the case to a point worth a detailed study.
Vind AI covers the analysis, design and visualisation work from first screening through to final investment decision, and again when a site comes back round for repowering. That includes site screening, yield assessment, layout optimisation, electrical and infrastructure design, local impact analysis, financial modelling and the visual outputs you present to communities, landowners and authorities.
Vind AI does not run construction, operations, permitting, land agreements or the stakeholder engagement process itself. It produces the analysis and the visual material those processes depend on, including photo montages, viewshed and visual impact visualisations and noise and shadow flicker simulations, but the process work stays with your team.
Both happen, depending on team size. Smaller developers often run the whole early-phase workflow in Vind AI and retire several separate tools. Larger teams with established specialist software usually put Vind AI upstream, screening and optimising until a case is strong enough to hand to the detailed tools. Data moves in and out in standard formats either way.
Vind AI is deepest in wind, onshore and offshore, which is where the platform was built and where the analysis goes furthest. The same connected workflow now extends to solar and battery storage, including co-located assets, so a hybrid site is assessed as one project rather than three separate models.
Most customers still use consultants, and several consultancies use Vind AI themselves. What changes is what you hand over. Teams arrive at the engagement with a far more developed case, so specialist time goes into the questions that genuinely need expert judgement rather than into the groundwork.
Yes. A four-person country team can run a full early-phase workflow in Vind AI without specialist support for each analysis type, which is why smaller and subsidiary teams tend to get value fastest. Larger organisations use it to standardise how teams across geographies assess projects.
Anywhere. The analysis works the same across all onshore locations and offshore seas worldwide, and the only thing that varies by location is which wind and geospatial datasets are available natively in the platform. Where coverage is thinner, you upload your own data and the full analysis suite runs on it.
Vind AI ships with 8,000+ wind and geospatial data layers, covering terrain, land use, grid, environmental constraints and more, so a new site can be screened without sourcing data first.
Yes, both ways, in standard formats. Wind and geospatial data uploads directly, and any project exports as a snapshot or as results you can take into Excel, reports or presentations. There is no lock-in and nothing proprietary you would have to convert to leave.
Yes. Vind AI is built to sit in a working toolchain, with full support for uploading and downloading data in the common industry formats, so it fits with the GIS and wind resource tools your team already uses.
Yes. The Vind AI API lets you connect the platform to your own systems and pipelines, so results can feed internal dashboards, reporting or portfolio tracking without manual export. Details are on the APIs and integrations page.
Vind AI is priced based on your company size and the value it can bring to your team. Almost everything comes with the platform, but we can also tailor some platform features depending on your needs.
We offer multi-year contracts at a minimum of 1 year, and we don't offer project-by-project options.
With larger companies, we often onboard one region or country at a time, and have options for full Group contracts or country-specific ones.
Vind AI runs in the browser with the data already in place, so there is no installation, no server setup and no data sourcing before the first project. Most teams can screen their first site within hours of getting started.
Most users are running their own assessments within the first week. The platform was designed for developers who are not specialists in every analysis type, so the depth is there when you need it without having to be configured first. Onboarding is guided, and the Help Centre carries written walkthroughs for every part of the workflow.
You will have a dedicated customer success manager, as well as chat support with our technical team during business hours. We also have an extensive help centre and an AI chat that can help you find the answer to any question.
No. Teams normally start with a live project rather than a backlog, and bring historical work in only where it is useful. Existing wind and geospatial data uploads in standard formats, so a past project can be rebuilt in Vind AI when there is a reason to.
We start with an initial call with a few questions to make sure we prepare the right focus for your demo. We set a date for your demo with you and a few key stakeholders, then we walk you through the platform based on your pains, and show the workflow end to end for your project type. It takes about 45 minutes, and you will get a clear answer on fit, including when the answer is that Vind AI is not the right tool for what you are doing.