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KarIOT: IoT + AI-Enabled Smart Water Management
DMA-level • LoRaWAN/NB-IoT • Human-in-the-loop • Canary deploys • SCADA/BMS integration

KarIOT is an advanced IoT, AI/ML, and cloud platform that enables cities, industries, and property owners to monitor, control, and optimize water usage in real time. It combines wireless sensors, demand forecasting, leak/anomaly detection, and user-friendly dashboards to reduce leaks, lower operational costs, and support water sustainability goals. Learn more about our AI & ML development.

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OVERVIEW

Enabling Data-Driven, Sustainable Water Management with IoT + AI

The KarIOT platform empowers government agencies, commercial buildings, and communities to remotely track water supply, detect anomalies, and automate control of valves and pumps. By providing actionable insights through mobile and web dashboards, KarIOT helps users cut water waste, improve reporting, and support compliance and sustainability.

Interested in similar digital transformation? Explore AI & ML development, DevOps (MLOps/AIOps), and Cloud consulting, or contact us for a strategy session.

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Client :

Karikala (KarIOT)

Industry :

Smart Water, IoT, AI/ML

Duration :

6 months

Platforms :

IoT, iOS, Android, Web

+

Sites Deployed

Cr+

Litres Managed

+

Clients Impacted

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THE CHALLENGE

The Challenge: Manual Systems & Water Waste

Before KarIOT, water supply management relied on manual readings, reactive maintenance, and limited transparency—leading to leaks, wastage, and high costs. The need: a scalable, real-time solution for monitoring, analytics, and automated control.

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THE SOLUTION

Our Solution: IoT + AI with Cloud Automation

Trimsel architected a cloud-native platform that ingests live sensor data, applies short-term demand forecasting and leak/anomaly detection, and recommends forecast-aware pump/valve schedules. Our DevOps and Cloud expertise ensures high uptime, secure operations, and rapid iterative releases.

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RESULTS

Results: Measurable Savings & Impact

With KarIOT, customers now enjoy real-time visibility, proactive alerts for leaks or supply issues, and automated regulatory reports. The platform is used by government and private clients to reduce water waste, energy use, and service complaints—while improving compliance and sustainability.

Want to discuss your IoT or AI transformation? Talk to our AI team.

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OUTCOMES

AI Outcomes: Forecast, Prevent, Save

NRW ↓
12–18%
Non-revenue water reduction (pilot DMAs)
Energy ↓
8–15%
Optimized pump scheduling
MAPE
8–12%
Forecast accuracy (short-term demand)
Tickets ↓
20–30%
Low-pressure / no-water complaints
Payback
6–12 mo
Hardware + software

We combine short-term demand forecasting, leak/anomaly detection, and forecast-aware pump/valve scheduling to cut water loss and energy costs while improving service reliability.

Run a 4-week AI pilot

Data audit → model fit → live alerts & forecast-aware schedules. Typical pilots surface hidden leaks in the first month.

Talk to an AI Expert
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TECHNOLOGY

Tools And Technology

Development
IoT sensorsAWS cloud hostingNode.js backendReact Native dashboardPostgreSQL databaseDevOps automation
Design & Cloud
Figma designPhotoshop design
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FAQ

Frequently Asked Questions

Can you detect leaks without acoustic sensors?

Yes. We baseline night flow and pressure per DMA and raise anomalies when residuals spike for sustained windows. Acoustic data further improves localization but isn’t required.

Do operators lose control?

No. The optimizer proposes schedules and your operator approves or overrides. Every change is logged for audit.

What’s needed for a 4-week pilot?

2–4 DMAs with flow/pressure/level, pump run-time signals, and gateway access. We handle ingestion and dashboards; you provide field access.

How often do models retrain?

Weekly by default with drift checks; urgent retrains can be triggered after topology changes or events.

Ready to start your IoT or cloud transformation journey?