Key results
The company
AInwater
ainwater.comAI platform for real-time optimization and management of water treatment facilities.
Result highlights
- 30% energy reduction for treatment plants
- 10% reduction in chemical usage
- 9% energy savings for meat packing client
- 65% faster client onboarding
- 3M+ cubic meters annual water savings
- 82% increase in desalination water production
- 35% reduction in industrial grey water
The story
A water technology provider monitors treatment processes at over 100 plants across Latin America, impacting water quality for more than 1 million people.
Water treatment plants traditionally rely on reactive management, often leading to excessive chemical usage and energy waste. The company needed to scale its pilot software into a secure multi-tenant platform capable of handling data from multinational clients.
The organization built a modular SaaS platform using AWS Fargate to manage containerized infrastructure across multiple regions. Amazon SageMaker runs predictive models that analyze time-series data to forecast contamination events and optimize chemical dosing. The system ingests heterogeneous industrial data to provide near real-time operational recommendations to plant managers.
Scope & timeline
- 80% faster AI model development
- 30-40% faster solution delivery
Quotes
“Water doesn’t wait, nor does the planet. That’s why we need to build solutions that facilitate water security. That includes public policy, engineering, and software and AI for making sure facilities run properly.”