DMA-level · LoRaWAN/NB-IoT · Human-in-the-loop · Canary deploys · SCADA/BMS integration
KarIOT: IoT + AI-Enabled Smart Water Management
KarIOT is an advanced IoT, AI/ML, and cloud platform that enables cities, industries, and property owners to monitor, control, and optimise water usage in real time. It combines wireless sensors, demand forecasting, leak and anomaly detection, and user-friendly dashboards to reduce leaks, lower operational costs, and support water sustainability goals. Built with the same AI & ML development and DevOps expertise we apply across our cloud projects.
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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.
Trimsel architected the full platform — from IoT sensor ingestion and AI forecasting models to mobile apps, web dashboards, and cloud infrastructure — delivering a production system that's operating across multiple sites.
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Client
Karikala (KarIOT)
Industry
Smart Water, IoT, AI/ML
Duration
6 Months
Platforms
IoT, iOS, Android, Web
5+
Sites Deployed
1 Cr+
Litres Managed
10+
Clients Impacted
THE CHALLENGE
Manual Systems & Water Waste
Before KarIOT, water supply management relied on manual readings, reactive maintenance, and limited transparency — leading to undetected leaks, wastage, inflated costs, and poor reporting to regulators. Water utilities and building operators had no real-time visibility into consumption patterns, no way to predict demand spikes, and no automated response when anomalies occurred.
PROBLEM FACED
No visibility, no prediction, no automated response — only reactive firefighting
Water utilities and property managers were operating blind. Manual meter readings happened once a month. Leaks went undetected for weeks, costing thousands of litres before anyone noticed. When a pump failed or a valve stuck open, the first sign was a downstream shortage — not an automated alert.
KarIOT set out to replace this reactive, manual approach with real-time sensor telemetry, AI-driven demand forecasting, and automated valve control. The challenge was integrating heterogeneous IoT devices (LoRaWAN, NB-IoT), building reliable ML pipelines on noisy sensor data, and delivering it all through apps that field teams and government officials could actually use.
THE SOLUTION
IoT + AI with Cloud Automation
Trimsel architected a cloud-native platform that ingests live sensor data from LoRaWAN and NB-IoT devices, applies short-term demand forecasting and leak/anomaly detection using TensorFlow-based models, and recommends forecast-aware pump and valve schedules. The platform includes mobile apps for field teams, a web dashboard for administrators, and SCADA/BMS integration for automated control. Canary deploys with per-service SLOs ensured zero-downtime updates in live water infrastructure.
AI OUTCOMES
NRW ↓ 12-18%
Non-Revenue Water Reduction
Energy ↓ 8-15%
Pump Energy Savings
MAPE 8-12%
Forecast Accuracy
Tickets ↓ 20-30%
Support Ticket Reduction
6-12 mo
Payback Period
TECH STACK
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