Using your plant operational data, we simulate and optimize your process. Together we can define what is the best optimization strategy for your system, from tuning your PID parameters to setting new set-points.
Each treatment plant is unique. Our algorithm too. Using state of the art AI-based technologies we create a unique model for each plant.
Together we can test different strategies and scenarios with in the safety of the computer before on-the ground implementation
Our Value Proposition
To reduce energy consumption and the risk of norm noncompliance without having to incur expensive new software or hardware and without modifying the way you work.
How? With our simulation, optimization and monitoring Dashboard tailored to your process and KPI. You will be monitoring your savings in no time!
Let’s Make Your Plant
How Do We Work?
We follow the steps of water intelligence:
We analyze your plant’s past and using this information, simulate its future and identify critical points.
Modeling & Research
We build a machine learning-based model for your WWTP, and co-design a compliance and energy optimization strategy for your plant. We pay particular attention to set-points and PID controller parameters.
Implementation / Deploy
We implement and monitor the effiency and compliancy strategy, producing monthly reports to keep you posted on everything you need to know.
We optimize without compromising your treatment process’s quality. Furthermore, we strive to reach a compliance efficient process.
Let’s make your plant more intelligent, lowering OPEX costs without CAPEX expenses!
Chemical Engineer and Master of Science in Environmental Management (Yale University). More than 7 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 seven years of experience managing environmental innovation projects in Latin America and Europe.
PhD. in Physics and Data Science with more than ten years’ experience in data analytics and software development for large corporations.
Dra. (c) Ana Lambert
Environmental Engineer and Master of Science in Environmental Management (Yale University). More than five years of experience in water quality and environmental management in Latin America, Africa and Australia.
AInwater Press Room
Startup que utiliza inteligencia artificial para el tratamiento de aguas obtiene primer lugar de INAPI Running
Se trata de AInwater, innovación que, a través de un software, minimiza el consumo energético de Plantas de Tratamiento de Aguas Servidas (PTAS) y de RILes en hasta un 25%. La tecnología se encuentra ad-portas de llegar al mercado brasileño.