IoTMATE AquaAI™ Platform
Smart Water Intelligence
Detect leaks early. Reduce water loss. Make every drop count.
AI-powered monitoring for abnormal usage detection, pipeline leak identification, and predictive maintenance — designed for Indian infrastructure conditions.
The ground reality in India
Where AI actually works
No buzzwords. AI learns your water patterns, detects anomalies, and scores leak probability — with few sensors and smart correlation.
Abnormal Usage Detection
AI learns daily patterns — normal flow, night-time baseline, weekend vs weekday. Flags deviations instantly.
What it detects
- Water flowing at 2-4 AM (classic leak sign)
- Sudden unexplained increase in consumption
- Gradual leakage trending over weeks
Leak Probability Scoring
Instead of binary yes/no, AI provides a confidence-scored leak assessment with actionable context.
What it detects
- Leak likelihood score (0-100%)
- Estimated time window when leak started
- Suspected pipeline zone identification
Predictive Pipe Health
Correlates pressure fluctuations, valve operations, and flow instability to predict failures before they happen.
What it detects
- Pipe burst risk assessment
- Aging pipeline section alerts
- Maintenance scheduling recommendations
Key insight: You don't need expensive sensors everywhere. AI works best with few sensors + smart correlation.
Field-practical architecture
Designed for Indian infrastructure conditions — robust, low-maintenance sensors placed at strategic pipeline points.
Flow Meters
COREMeasure real-time water flow at key pipeline points
Pressure Sensors
COREDetect pressure drops and spikes indicating leaks
Tank Level Sensors
CORECorrelate tank levels with usage for anomaly detection
Acoustic Sensors
OPTIONALDetect underground leak sounds (advanced deployments)
Complete system delivery
From sensors and edge gateways to cloud analytics and mobile dashboards — the full IoTMATE stack.
IoT Sensors & Meters
Layer 1Flow, pressure, level sensors with LoRa connectivity
LoRa Gateway & Edge
Layer 2Long-range data collection with edge processing
AI Analytics Engine
Layer 3Pattern learning, anomaly detection, leak scoring
Cloud Dashboard
Layer 4Real-time monitoring, alerts, reports, mobile app
Use cases that actually sell
Every segment has budget for water management. The ROI story writes itself.
Gated Communities
- Reduce tanker dependency
- Identify internal leakage
- Bill justification to residents
Strongest ROI story - residents see direct cost savings.
Campuses
- Zone-wise consumption monitoring
- Underground leak detection
- ESG & sustainability reporting
IT parks, hospitals, universities — ESG budgets available.
Industrial & STP
- Post-treatment water loss detection
- Reuse water monitoring
- Compliance reporting
Industries measure every drop — water loss is direct cost.
Smart City & Government
- DMA-based monitoring
- Pilot zone deployment
- Gradual city-wide scale-up
Long sales cycle, but massive scale and recurring revenue.
A dashboard customers understand
Visual, not technical. Actionable insights that facility managers and engineers can use immediately.
Live Flow & Pressure
Real-time sensor data across all zones
Consumption Analytics
Daily, monthly, zone-wise usage comparison
Leak Alerts
Confidence-scored alerts with suspected location
Historical Reports
Trend analysis and exportable reports
Built for outcomes, not complexity
We don't sell AI for the sake of AI. Every deployment starts with one question: how much water and money can we save you?
Measure before you manage
Most facilities don't know their real consumption. We start with baseline visibility — zone-wise metering that reveals where water actually goes.
Let the AI learn your patterns
Every building has a rhythm. Our models learn normal usage over 2-4 weeks, then flag deviations — a slow overnight leak, a stuck valve, or unusual consumption spikes.
Act on insights, not guesses
Alerts with context: where the anomaly is, how severe, and what to check first. Facility teams fix issues in hours instead of discovering them months later.
Prove ROI with data
Before vs. after dashboards that show water saved, leaks caught early, and tanker costs eliminated. The system pays for itself — and the data proves it.
The goal isn't to deploy sensors everywhere — it's to place them where they reveal the most about your water network, then let AI connect the dots.
What makes AquaAI different
Savings-first, not sensor-first
We size the deployment to the problem, not the budget. Fewer sensors, smarter placement, better results.
Works with Indian infrastructure
Designed for intermittent supply, mixed pipe materials, and field conditions — not lab-perfect setups.
Full-stack ownership
Hardware, firmware, connectivity, cloud, and dashboard — all built in-house. No third-party dependency, faster support.
Data that compounds
Every month of data makes the AI smarter. Seasonal patterns, degradation trends, and predictive alerts improve continuously.
Deployment reality
We believe in transparency. Here's what to expect.
How long to see results?
Baseline visibility in week one. AI anomaly detection kicks in after 2-4 weeks of learning.
What about installation disruption?
Non-invasive clamp-on sensors for most deployments. No pipe cutting, no supply shutdown.
Will it work with our existing setup?
We integrate with existing meters and SCADA systems. The platform adapts to your infrastructure.
What happens after the pilot?
You keep the data, the dashboards, and the savings. Scale at your pace — zone by zone.
Once installed, the data becomes indispensable. Facilities that see their water patterns never go back to guessing.
Know where your water is going
Start with a pilot. See the data. Prove the savings. We'll handle the entire deployment.