Behind AlpineAI: How a Bratislava‑Nova startup tackles energy forecasting in a drought‑prone region

The soft hum of servers fills the open‑plan office on the fifth floor of a refurbished mill in Kremnica, a town famed for its historic stonework. On the main monitor, a real‑time graph of Danube water levels scrolls alongside a cascade of predictive analytics generated by AlpineAI’s platform.

Lena Kovacs, a former data analyst for a multinational telecom company, founded AlpineAI two years ago after witnessing the impact of the recent low‑water episode on regional power contracts. She recruited a small team of recent graduates from the University of Meridian’s computer‑science department, offering them the promise of working on a problem that directly affects her hometown.

The startup’s flagship product, RiverGuard, uses machine‑learning algorithms to forecast river flow variations up to three weeks in advance, allowing utilities to schedule turbine output and adjust grid loads proactively. The model draws on historical hydrological data, weather forecasts and real‑time sensor inputs from the Federal Water Management Agency.

The profile will explore how Kovacs navigates talent competition from Oriente Moderno, secures funding, and positions AlpineAI as a critical partner in the region’s effort to mitigate drought‑related disruptions.