Case Study: Gaiascope enhances energy grid optimization with ORIL

Gaiascope improves grid forecasting with ORIL, handling 1.4 billion data points annually

Gaiascope, a company dedicated to optimizing renewable energy assets, faced the challenge of presenting over 1.4 billion complex annual data points and grid congestion forecasts to its users in an understandable way. They needed to prevent information overload on their AI-powered Terra Platform. ORIL was brought in to enhance the platform's graphical data presentation, turning raw data into actionable insights for energy traders and asset managers.

ORIL focused on the UX/UI and front-end experience, engineering dynamic and interactive data visualizations. The solution included congestion forecast mapping and an immersive trader dashboard, which transformed complex data into a clean, user-friendly interface. This allowed Gaiascope's clients to effortlessly interpret data, leading to more informed decision-making, a significantly enhanced user experience, and maximized value for their renewable energy assets.

Gaiascope