Amarine brings AI-native intelligence to municipal water infrastructure — detecting leaks before they surface, predicting contamination events, and optimising treatment in real time.
The infrastructure gap
Water utilities manage tens of thousands of kilometres of buried pipe, but most of that network is monitored with tools designed before the internet existed. Operators make decisions from lagging data, paper logs, and guesswork.
The Amarine Platform
Amarine integrates with your existing SCADA, AMI meters, and IoT sensor arrays — adding a predictive AI layer that reasons across the entire network in real time.
Built specifically for municipal utilities. No rip-and-replace. No 18-month deployment timelines. Amarine is deployable alongside legacy infrastructure and is designed to meet the regulatory, audit, and procurement requirements water authorities operate under.
Data to action
Our architecture
Water utilities are facing a convergence of pressure: ageing infrastructure, climate volatility, tightening regulation, and stretched maintenance budgets. The technology to address all four exists — what's been missing is a platform that makes it deployable inside procurement-constrained public institutions.
Global water utility software is a $4B+ market growing at 9% annually. The average utility still runs on systems from the 1990s. Less than 15% of municipal networks have deployed any form of continuous acoustic monitoring.
We go below the surface where traditional survey crews stop. Acoustic ML models trained on two million+ signatures. Real-time DMA minimum night flow analysis. And a field-operations layer that turns detections into crew-ready work orders within minutes.
Founder
"Water infrastructure is the most critical system most people never think about — until the day it fails."
Aakarshan Saxena founded Amarine with a conviction that the water sector's technology gap is not an unsolvable problem — it is an unsolved one. Having studied the technical and institutional dynamics of water utilities across South Asia, Europe, and North America, he identified a consistent pattern: the data exists, the sensors exist, but the intelligence layer that turns network signals into operator decisions has been absent.
Amarine is the system Aakarshan set out to build: one that meets utilities where they are — on 30-year procurement cycles, with 1990s-era SCADA systems and teams stretched across thousands of miles of pipe — and makes AI-grade water intelligence deployable within months, not years.
His focus is on the intersection of machine learning and physical infrastructure, with particular depth in acoustic signal processing for subsurface anomaly detection and hydraulic network modelling for large-scale distribution systems. He believes the hardest part of modernising critical infrastructure is not the technology — it is building the institutional trust to use it.
Get in touch
We work directly with water utilities, municipal authorities, and infrastructure investors. Tell us about your network and we'll configure a pilot proposal within two weeks.