Watermarq’s mission is to break the status quo on how water is valued. We build hedonic models informed by agentic AI to support dynamic, contextual value discovery through shadow water pricing.
USD 37 billion
is the estimated investment needed per annum for water infrastructure in developing countries to be climate resilient by 2050.
The status quo does not work
Water is critical to human wellbeing, ecosystems, and economic development. But it is chronically undervalued across the world.
Without accessible, context-specific data on the value of water, the current trajectory of acute under-investment in water security globally will not change. Public and private sector action to date has failed to respond to the scale and urgency of the challenge.
We believe that there is a strong case for better incorporating the value of water into decision making frameworks in both the public and private sector.
In the public sector, the need to evolve towards financially sustainable and climate-resilient models for resource and service provision is self evident.
And in the private sector, we think that the current emphasis on volumetric approaches that emphasise e,g, 'replenishment' and 'benefit accounting' has proven to be insufficient in either driving operational and value chain efficiency; or for optimising capital allocation. The status quo does not work.
Breaking the status quo requires a novel approach to valuing water that goes beyond volume (how much is being used), and additionally accounts for differences in who is using it, when, where, and for what. Our innovation is in applying a hedonic model, informed by agentic AI to support dynamic, contextual value discovery through shadow water pricing.
Key use cases are for the public sector (tariff reform and regulation), the private sector (internal water pricing), utilities (asset efficiency and NRW), development finance institutions (portfolio performance enhancement), investors (risk and opportunity assessment) and NGOs (pricing NbS etc).
Supported By
