Symmetri in Water

Operational intelligence for water utilities.

Water utilities lose millions to undetected failures and reactive operations. Symmetri, Sand’s infrastructure world model platform, detects events in real time and routes prioritised actions to crews, starting with the data you have today.

0 %

faster burst detection

Up to 5x 0

localisation accuracy

$ 0 M

validated benefit, Tier-1 UK utility

Days 0

to deploy, not months

Product demo

See Symmetri in action in water.

A major US metropolitan water network, modelled in Symmetri. Four hundred main breaks a year, and until recently it took over four hours just to find one. Watch the pattern repeat: sense, analyze, act.
  • Sense Every pipe scored by risk, live: weather, soil, pipe age and how the network is actually plumbed together, in three dimensions.
  • Analyze A main breaks. Symmetri locates it to under 100 metres, then surfaces what matters: which customers lose water, the hospital downstream, the regulatory clock now ticking.
  • Act It drafts the response: boil-water advisory scope, valves to isolate, the crew to dispatch. One click, from the same screen.
Detection: four hours to under one. Location: five hundred metres to under a hundred. The same platform runs in production at a Tier-1 UK utility serving 16 million people, with $100M in validated benefit.

Where it sits

Between the data you already have and the decisions you need to make.

No utility has all the data. Networks are dark in places, sensors drift, records live on paper. Symmetri is built for that reality: the world model infers behaviour where the network is not monitored, and the Symmetri data marketplace and partner hardware fill the gaps that matter most.
Upstream / start with what you have

Your data, as it is

Symmetri / decision layer for water

Sense, analyze, act

Downstream / workflows

Actions crews can take

// Symmetri does not replace these systems. It makes them act together seamlessly.

Use cases

From reactive coordination to intelligent operations.

Each use case answers a question operators ask every day, grounded in deployments at some of the world’s largest utilities. Because they share one world model, every use case you deploy makes the next one cheaper and smarter: leak detection labels the data capital planning needs, and capital planning maps the risk that fiscal planning needs.

01 / Use case

Burst detection and localisation

“Where has the network failed, and who is affected?”
ML detects bursts in under 30 minutes and localises them to within 100 metres, with freeze-thaw events predicted days ahead. Crews know where a pipe has failed and who is affected before the first customer call comes in.
0 %

faster burst detection

0 x

localisation accuracy

0 %

fewer supply interruptions

02 / Use case

Network risk and non-revenue water

“Where is the network losing water, and what do we do?”
Satellite SAR triage, hydrophone arrays and flow analytics pinpoint hidden leakage without excavation. Virtual DMAs and AI-driven pressure optimisation cut leakage at source, and repairs are ranked by water recovered, not complaint volume.
0 %

leakage detection productivity

0  Ml/d

recovered from one restriction

0  m

leak localisation

03 / Use case

Asset health and capital planning

“Which assets deserve investment, and in what order?”
AI risk scoring across more than a million pipe spans replaces age-based replacement with a multi-variable deterioration model. Survival modelling projects condition forward so capital lands where it prevents the most failures.
30-40% 0

better than age-based prediction

$ 0 M

CAPEX savings 2020-25

0 M+

pipe spans scored

04 / Use case

CSO and SSO prevention

“Which events put us at risk of overflow or permit breach?”
ML blockage models run across tens of thousands of sewer monitors, masking rainfall and generating risk-ranked work orders. Real-time spill alerts across treatment works, pumping stations and outfalls keep compliance ahead of the weather.
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blockages cleared

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pollutions prevented

$ 0 M+

penalties avoided

05 / Use case

Operator Assist

“What should my operators do next, and why?”
A generation of operators is retiring and decades of judgment is walking out the door. Operator Assist puts your best operator’s instincts beside every operator on every shift: what is going wrong, why, who is affected and what to do next.
0 +

pollution incidents prevented

0 +

manual reports replaced

0 x

ROI from proactive alerts

06 / Use case

Treatment process optimisation

“How do we cut energy and chemicals without risking compliance?”
Dynamic dissolved-oxygen setpoints, blower sequencing matched to live load and continuously tuned chemical dosing. A plant-wide world model of energy and emissions charts the pathway to net-zero operations.
10-25% 0

aeration energy reduction

10-20% 0

chemical cost reduction

0 st

net-zero treatment works

Start where you are

Three tiers. One platform. No re-architecture.

Each tier deploys as a packaged product into your environment, meeting your network at its current level of instrumentation and data maturity, and growing from there. You do not need complete data to start; you need a place to start.

Tier 1

Dark operations

For utilities with minimal instrumentation. Intelligence from the data you already have, with no new hardware required on day one.

Tier 2

Noisy operations

For sensor-rich networks drowning in alarms. Correlation and consequence turn noise into a short list of what matters.

Tier 3

Intelligent operations

For utilities ready to run proactively. Prediction and orchestration move work upstream of failure.
Works on dark networks No SCADA dependency Deploys in days Your cloud or on-prem Data sovereign

Under the hood

Built on the Water Network Ontology.

Generic AI can detect anomalies. It cannot reason about consequences. Symmetri’s water use cases run on an infrastructure world model of how water actually works: the source-to-tap value chain formalised as entities, relationships and decision actions that machines can traverse.

A source-quality event forces a treatment change. A trunk-main burst affects multiple zones. A failing pressure valve leaks across a district. The ontology is what lets the platform reason about those cascades, and trade performance against cost and resilience the way your best engineers do.

0 +

bursts detected per year

0 %

before any customer notices

0 M

people served in production

Clean water / source to tap
Abstraction Rivers, boreholes
Treatment Filter, disinfect
Storage Trunk mains
Distribution Pipe network
Customer Metered
Wastewater / tap to environment
Collection Sewer network
Pumping Lift stations
Treatment Treatment works
Discharge Environment

Case study spotlight

Proven where the stakes are highest.

United Kingdom / 16M people served

Thames Water

An eight-year digital partnership across one of Europe’s largest water and wastewater companies: 22,000 miles of pipe, 70,000 miles of sewer, unified into one intelligence platform.
$72M benefits delivered over 5 years
20% reduction in supply interruptions
14% improvement in leakage detection

United States / Aging infrastructure

City of St. Louis

Bringing burst detection, pressure monitoring and pipe risk scoring to a city managing aging infrastructure under a federal consent decree. Today bursts are found through customer complaints. Soon crews will know where a pipe has failed, and who is affected, before the first call comes in.
<30 min ML burst detection target
<100 m failure localisation
City-wide pipe risk scoring

United Kingdom / Wastewater

Severn Trent

A Net Zero Hub blueprint for wastewater treatment: plant-wide optimisation of energy, aeration and chemistry charting the industry’s first credible pathway to carbon-neutral treatment by 2030.
1st net-zero treatment works blueprint
2030 net-zero pathway across processes
10-25% aeration energy reduction

Meet the team

The people behind Symmetri’s water deployments.

Utility veterans, data scientists and field engineers who have spent years inside control rooms and treatment works.
Delph Mak
VIDEO
Introduction Meet Sand's Leadership Team
Delph MakSenior Business Development Director
Aidan Helmbold
VIDEO
Introduction Meet Sand's Leadership Team
Aidan HelmboldSVP of Innovation
Lizette Loubser
VIDEO
Introduction Meet Sand Technical Lead
Lizette LoubserTechnical Lead
Ross McIntosh
VIDEO
Introduction Meet Sand's Vice President of R&D
Ross McIntoshLead Data Scientist
Dr. Mike Flaxman
VIDEO
Introduction Meet Sand's Chief Science Officer
Dr. Mike FlaxmanChief Science Officer

Better together

Built, sold and delivered with partners.

Cloud, compute, data and hardware partners plug into Symmetri for water deployments, so utilities get one working system, not another integration project.
Water ecosystem partners
MotMot
Acoustic Sensors Cameras Inspection Robots Pipe Inspection Wastewater Water

Autonomous pipe inspection robots using acoustic, pressure, camera and IMU sensors to assess pipeline condition.

FCS
Energy Flow IoT Sensors Pressure Wastewater Water

Industrial sensing hardware providing continuous pressure, flow and operational monitoring across critical infrastructure.

AWS
AI Cloud Compute Marketplace Storage

Enterprise cloud platform powering scalable infrastructure, AI services and commercial distribution.

Microsoft
AI Azure Cloud Fabric Identity

Enterprise cloud and AI platform spanning Azure, Microsoft Fabric and enterprise productivity.

NVIDIA
AI Compute GPU Physical AI Simulation

Accelerated computing platform powering AI training, inference and Physical AI applications.

Ready when you are

Every drop, every decision, accounted for.

If you operate a water or wastewater network, we’d love to show you what Symmetri sees in yours. Together, we can move your operations from reactive coordination to intelligent, resilient service for the people who depend on it.