This episode features Yaron Dycian, co-founder of WINT, who discusses the integration of AI in water management to combat water scarcity and climate change.

WINT employs AI algorithms to monitor water flow patterns in buildings, identifying anomalies that indicate leaks or damage, which can result in substantial water savings and reduced carbon footprints.

The system is designed to alert staff to these issues promptly, which is crucial given that about 25% of water in buildings is wasted, contributing to significant carbon emissions and financial losses, such as the $100,000 annual waste at the Empire State Building.

Dycian highlights that water damage is now the leading cause of insurance claims, surpassing fire damage, prompting initiatives like the UK’s Joint Code of Practice to enforce Water Leak Mitigation Systems.

WINT not only helps in achieving sustainability by reducing water waste and carbon emissions but also offers financial benefits by saving money for its customers. The technology, adaptable to various environments, including construction sites, uses AI to predict potential leaks, although it does not ensure a 100% success rate.

The podcast also discusses the cost-effectiveness of implementing WINT, with initial prices ranging from hundreds to thousands of pounds and ongoing fees in the tens per month per system. WINT has a presence in multiple countries and is effective in preventing leaks on construction sites, despite the inherent limitations of AI technologies, which can sometimes produce inaccurate results or “hallucinations.”

Overall, WINT is posited as an essential and increasingly standard component in building design, likened to elevators and sprinkler systems, for creating water-sustainable buildings. The adoption of WINT across various projects exemplifies its utility in real-world applications, and the conversation underscores the potential of AI in revolutionising water management in the construction and building management industries.