Crowdsource water quality data service. Comprehensive, affordable, real-time water quality sensor paired with CV mobile app and AI-driven data analytics.
Ongoing R&D stage. Proof of concept is run in a partnership with UMass Amherst and side consultants. MVP is scheduled on August '20.
B2C : Individuals and Households, travellers, water industry professionals B2B: Small businesses (Plumbers, travel agencies, maintenance, filtering solutions etc.); Large businesses (Insurance, Construction and development, Real Estate etc.); Institutions (Utilities, Healthcare, Education etc.) B2G: Governmental agencies
Problem or Opportunity
Water quality data is not in short supply, however, data sets are often incomprehensible or not useful as collected and stored. Water infrastructure in US is very mature, water treatment and conveyance systems continue to age, new contaminants appear each year, etc. We see an opportunity to raise awareness to the end users with regards to the water quality.
Solution (product or service)
Comprehensive and affordable water quality sensor that can detect certain contaminants in tap water in 1 minute and under 1$ of cost. Mobile app that can read the proprietary X2O sensor and other colorimetric sensors on the market. Patent pending computer vision color identification process gives immediate answer to the customers whether they can drink tap water or not. Analytics based on crowdsource water quality data.
Simultaneous results, universal to read other sensors mobile application.
Sensor's price on retail market is 1$. Different subscription models are to offer with different prices and periods. Data and analytics prices are subject to calculate based on few variables. Range is [5K:275K].
Periodic subscription for different markets and on-demand analytics.