

In the renewable energy sector, the analysis performed by highly skilled PhDs is invaluable but also time-consuming. To scale their operations, Venterra needed to automate routine analytical tasks without sacrificing precision. Infused Innovations was the strategic partner, designing and building a custom AI/ML model trained on their experts past work to automate workflows, saving time and money.
Venterra is a key player in the global energy transition, providing critical services to leaders in the wind power industry like Orsted, Shell, and Siemens. Their work relies on sophisticated data analysis and modeling to support the development of sustainable energy infrastructure.
Venterra’s most valuable resource is the expertise of its PhD-level analysts. However, a significant portion of their time was spent on routine, repetitive data analysis tasks. This created a bottleneck, limiting the number of projects they could take on and diverting expensive talent from more strategic, high-value work.
Infused Innovations developed a custom AI/ML solution to automate this workflow. We used a vast dataset of Venterra's completed projects to train a machine learning model to replicate the routine analysis performed by their experts. The model was designed for high precision and recall and was seamlessly integrated into their existing workflows.
The AI/ML model has successfully automated a significant portion of Venterra’s routine analytical work. The system can now process new data with a level of accuracy and trust that meets their standards. This has freed up their PhDs to focus on more complex challenges, increasing the firm's overall capacity and allowing them to better serve their top-tier clients in the race for renewable energy.
This partnership is a prime example of using AI to augment human expertise. By capturing and automating the knowledge of their top talent, we provided Venterra with a powerful tool to scale their operations, improve efficiency, and accelerate their critical work in the energy transition.
We built and trained a bespoke machine learning model on the client's own data to automate complex, routine analytical tasks.
The solution frees up expensive, highly skilled PhDs from repetitive work, allowing them to focus on more strategic and innovative projects.
The model was engineered for high precision and recall, ensuring the automated results meet the rigorous standards required by the client and their customers.