Artificial Intelligence Water
Using operational data from water treatment plants, we monitor and optimize your treatment system.
We define with you an optimization strategy which is updated and optimized thanks to our software’s own machine learning.
We generate alerts for all control parameters, biological or electronic.
Up to 30% in energy costs savings, thanks to our artificial intelligence algorithms.
With our dashboard, tailored to your needs, you will control and optimize your water treatment plant, easing up your operation
Best of all, our software delivers predictive alerts and recommendations for key control parameters, such as IVL, F/M, sludge and flux edge, etc.
Up to 30% in energy savings
Compliance with water quality standards
CO2 emissions reduction
Let’s Make Your Plant
Energy optimization of blowers
Automatic data analysis
Assistant for compliance reports
Data as a Service
Contact us here
And we will send you a detailed video of our platform!
Chemical Engineer and Master of Science in Environmental Management (Yale University). More than 10 years of experience in water management and waste treatment plans design and control in Latin America, Africa and Asia.
Biotechnology Engineer and Master of Science in Environmental Technologies (U Ghent, Belgium). More than 10 years of experience managing environmental innovation projects in Latin America and Europe.
Dr. Marcos Pérez
PhD. in Physics and Data Science with more than 14 years experience in data analytics and software development for large corporations.
Civil Engineer in Chemistry and Data Science Analyst.
7+ years in project management and development of technological projects involving automation and process optimization.
Hydraulics Civil Engineer.
5+ years in entrepreurial initiatives and coastal projects.
Economist with a M.A. in Latin American Studies from UT Austin.
30+ years in management, commmunications and business promotion.
Instrumentation and Automation Manager
Automation and Industrial Control Engineer.
5 years managing projects involving control, instrumentation and telemetry in water treatment plants.
Chemical Engineer with a concentration on Biological Engineering.
Experience in research and innovation involving biotechnology and chemical processes.
Agroindustrial Engineer with an MBA from the Universidad de Chile.
10+ years in sales, finance and management in a variety of industrial sectors.
Software engineer, with more than 5 years of experience in FrontEnd development and data analysis of water systems.
José André Chirinos
Graphic and UI Designer with more than 5 years of experience in corporate and commercial design.
B.S. in Computer Science and MSc in Bioinformatics.
10+ years developing R&D projects.
Computer Science Engineer (UcH). As DevOps, Benjamin leads the data integration between hardware and software systems.
Civil Engineer in Environmental Biotechnology, minor in Bioinformatics. Experience in sustainability and biotechnological R&D projects.
Environmental Engineering Intern
Practicing Environmental Engineer in charge of supporting the sales area of the company. With experience in environmental management in the construction area.
AInwater Press Room
DIARIO “EL MERCURIO” 29/01/23 – “Throughout 200 editions, the Innovation body of “El Mercurio” has sought to make visible how, from our country, solutions are being developed to the challenges imposed by the accelerated demographic, economic, environmental, agri-food and energy transformations that the planet is experiencing”.
INDUAMBIENTE 12/9/22 – “Digital platform developed by the Chilean start up Ainwater optimizes the monitoring and operation of these facilities, helping to increase water security and the response to climate change”.
DIARIO “LA TERCERA” 18/7/22 – “The Chilean company Ainwater uses digital twin technology to optimize the operation of water treatment plants. They have already expanded to Mexico and Brazil and are starting to implement a similar model in other industries as well”.
“EL MERCURIO” 26/4/22 – “What attracted me to work here, in addition to developing data science, artificial intelligence and machine learning, is that this company focuses on improving production industries which have not evolved and continue to function analogically”, says Constanza Cordova. Constanza is a chemical civil engineer forming part of an all-female data science team at AInwater, a startup which applies artificial intelligence to the operation of water treatment plants.
DIARIO SUSTENTABLE 15/11/22 – Through software, Ainwater issues predictive alerts about what will happen in a few hours with the water treatment plants and thus generate specific recommendations, saving up to 30% of energy.
Can reach out directly to any of our team members (See “Our team”), call our offices, or fill out this form: