Even though freshwater is such an incredibly tiny percentage of the world's water, there is enough of this renewable resource to satisfy the water needs of the 7 billion people on our planet.

But freshwater resources are unevenly distributed and large part is not even easily accessible. For example, Iceland has 1,600,000 liters per person per day but Kuwait has only 56 liters per person per day.

Currently, 48 countries—one third of the world’s countries—experience water stress due to the uneven distribution of water resources. Water stress occurs if the available water reaches below 4600 liters per person per day. In 2025, two thirds of the world's population will experience water stress. However, extremely high levels of water stress don’t necessarily mean that a country will fall victim to scarcity. Armed with the right information, countries facing extremely high stress can implement management and conservation strategies to secure their water supplies.

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While today's water systems are managed through computer platforms--a vast improvement over the physical models used in the past--there is no single computer platform that can simulate every aspect of water management. Available platforms also lack some serious functionality including speed, Geographic Information System (GIS) support, 2D/3D modeling, integration of external sensors such as IOT support, real time modeling, asset management, and communication between different models.


Blockchain Water's goal is to create a comprehensive single water management computer platform that can simulate all aspects of water management in real time within a watershed while seamlessly and quickly connecting to external sensors and third-party data providers via API.


Blockchain Water will arm drinking water, wastewater, stormwater and groundwater utilities with near term (2 to 6 hours) and long term operational forecasting and management of their systems. It will provide timely, accurate and reliable forecasts of what will happen within its system based on past and current observations of a various parameters using National Weather Service future rainfall predictions and other demand projections.

Our platform’s Artificial Intelligence (AI) tool will read the rainfall and demand forecast and optimize the system by running various simulations and generate the best daily operational plan to minimize energy costs. When approved, the platform will automatically implement the recommended operation plan—all without human intervention.

These real time models can also be cloned to model other scenarios such as extreme weather studies, capital improvement  studies, and master planning.