Kohtari launches AI platform to help utilities predict algal blooms

Kohtari has launched BloomIQ, a new artificial intelligence-driven platform designed to help water utilities predict algal blooms before they occur, shifting utilities from reactive monitoring to proactive water quality management.

The platform combines environmental, weather and water quality data with historical records and optional drone observations to forecast when and where algal blooms are likely to develop. According to the company, BloomIQ is intended to help utilities improve operational planning, reduce treatment costs and strengthen public confidence as nutrient pollution and climate-related impacts intensify.

“Using AI and multiple data sources to provide early visibility of bloom risk, BloomIQ enables water companies to make that important shift from merely reacting to algal blooms to actively predicting them,” said Kohtari’s CTO Stuart Evans in a press release.

Kohtari said the platform applies machine learning to transform fragmented datasets into actionable insights for reservoir management and treatment operations. The company noted that earlier forecasting can support both short-term operational interventions and longer-term infrastructure planning decisions.

The launch comes as utilities face increasing pressure from harmful algal blooms driven by rising temperatures, changing rainfall patterns and nutrient pollution. Kohtari cited Environment Agency data indicating that 84% of surface waters in England are affected by nutrient pollution, a major contributor to bloom formation.