Technology firms Vind AI and Whiffle have formed a partnership to integrate Whiffle’s high-resolution atmospheric modelling into Vind AI’s digital platform, a move the companies say will give wind developers earlier access to precise site-specific data.
The companies said the collaboration is designed to speed up site screening and support clearer early investment decisions. According to Vind AI, scenario testing will also accelerate as Whiffle’s simulations can be completed “in hours rather than days.” The firms added that consolidating modelling outputs in a single platform removes reliance on fragmented tools and manual workflows during the early phases of project development.
“Tech now makes it possible for wind projects to be designed using accurate data from the start,” Vind AI chief executive and co-founder Helene Bohler said. She added that integrating Whiffle’s modelling capability signals a broader trend toward more data-driven development in the wind sector.
Whiffle chief technology officer Thijs van Winden said early-stage choices often carry the highest uncertainty. “Key decisions happen long before measurements are in place, and that’s where uncertainty and cost risks are highest,” he said. Van Winden added that embedding large-eddy simulation (LES) tools within the platform gives teams greater confidence when comparing development scenarios “without extra tools or workflows.”
The companies said the next stage of the partnership will incorporate Whiffle Atlas and turbine-specific LES time-series simulations, along with turbulence and flow-structure metrics to support layout optimisation and annual energy production assessments.
