We have developed proprietary software to locate and detect flowing water sources at depths of 300-800 meters underground virtually using combination of satellite imagery and combinatorial 3rd party Geotechnical datasets. We can predict presence, depth, quality, flow rate and temperature of water remotely with 98% accuracy in detecting perennial, sustainable water sources across the most parts of the world by using our proprietary algorithms based on [i]neural network [ii] fuzzy logic [iii] pattern recognition on top of our global datasets looking for markers that can indicate flowing water sources, between the depths of 250-800 meters and predicting the flow-rate, quality and temperature of perennial water sources with 92% accuracy.
Our Solution addresses the Water related risks which would cost the world USD 100 Million by 2035 due to Physical Water Stress as it has critical impact on the regions prosperity, food security & socio-economic development.