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Smart Utilities Solutions: Monitor, Manage, & Optimize Your Utility Networks with AI

Digitally transforms water, energy, district cooling, and utility operations using smart meters, IoT-enabled systems, and automated data orchestration for effective demand response, predictive maintenance, and more informed decision-making. Real-time monitoring and advanced analytics detect anomalies, enhance visibility across assets and infrastructure, lower losses, and support sustainability.

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Why Conventional Utility Models Struggle with Rising Demand & Expectations 

Telemetry and IoT sensors generate massive volumes of data. Most utility software still fails to operationalize this data with proper context or adapt to the seismic shift in demand and expectations, leaving critical operational gaps.

  • Decisions Made on Isolated
    Decisions Made on Isolated, Disconnected Data & Systems

    Legacy tools surface raw metrics without complete context across zones, assets, and customer segments, which limits unified visibility and slows decision-making.

  • Blind Spots and Untracked Losses
    Blind Spots and Untracked Losses Impact Revenue

    Leaks, meter drift, and unauthorized usage often go undetected in the absence of continuous DMA-level analytics.

  • Slow Incident Response
    Slow Incident Response Due to Manual Workflows

    Issue detection, escalation, and resolution rely on manual handoffs, which increase response times and prolong outages or losses.

  • Incomplete and Unreliable ESG Data
    Incomplete and Unreliable ESG Data

    Fragmentation across SCADA, AMI, and ERP datasets makes it difficult for teams to meet compliance and reporting requirements.

What is Concentio Smart Utilities?

Concentio Smart Utilities is Scry AI’s orchestrated intelligence platform that unifies smart metering, IoT, real-time monitoring, and advanced analytics to automate operational workflows across gas, electricity, cooling, and other service ecosystems. It integrates sensor data and telemetry from SCADA, AMI, GIS, ERP, and enterprise systems, and creates bi-directional digital twins to visualize distribution networks, reservoirs, assets, and stations. The platform interoperates and correlates this data to identify asset inefficiencies, improve grid reliability, and enable proactive management.

AI, Automation & IoT Intelligence for Better, Proactive Utility Management

Concentio Smart Utilities combines deep utility-domain expertise with OEM ecosystems to orchestrate and optimize utility operations and network performance at scale.

Unified AI-Powered IoT Platform

Unified AI-Powered IoT Platform

Provides a unified AI-powered IoT platform that connects smart meters, sensors, PLCs, SCADA, AMI, GIS, ERP, CRM, and billing systems, as well as external data sources, into a single orchestration layer. All telemetry and operational data are then harmonized with complete context using Smart Data Models across water, energy, district cooling, and environmental systems.

GIS-Enabled Digital Twins

GIS-Enabled Digital Twins & Decision Support

Concentio creates digital twins of real-time IoT telemetry and linked SCADA, GIS, and enterprise system data to model distribution networks, DMAs, reservoirs, pumping stations, substations, and critical assets. These visualizations present flows, pressures, and consumption on GIS-enabled maps with spatial context. Operators simulate scenarios on live data and analyze impacts for energy-balanced alternatives.

Workflow Automation

Workflow Automation & SLA Escalation

Enables workflow automation across utility operations through an interoperable architecture. Operators can configure custom workflows to trigger actions for events, tickets, inspections, approvals, and routine tasks. SLA-driven escalation prioritizes incidents based on impact, risk, and regulatory exposure. It does not require rip-and-replace integration and avoids vendor lock-in.

AI-Driven Anomaly Detection for Leaks

AI-Driven Anomaly Detection for Leaks, Losses & Inefficiencies

Applies adaptive AI and machine learning to monitor flows, pressures, consumption patterns, weather inputs, and environmental signals across utility networks. This enables real-time detection of leaks, bursts, equipment underperformance, and energy losses that often go unnoticed. Detected anomalies are surfaced through timely alerts and dashboards to support faster response and targeted intervention.

DMA-Level Monitoring

DMA-Level Monitoring, NRW Intelligence & Customer Alerts

Delivers DMA-level performance management with NRW analytics identifying loss patterns like night flow, pressure instability, unauthorized use, and abnormal consumption at the zone level. Edge analytics flags issues locally, while DMA risk scoring (assessing leak likelihood, loss exposure, & pressure stability) helps prioritize interventions. The platform also enables customer alerts via mobile and messaging channels.

Customer Profiling

Customer Profiling, Sustainability Metrics & Regulatory Reporting

Combines meter data with tariff, customer, and usage information to build consumption profiles across water and energy services. Utilities can benchmark customer usage against peer groups and design targeted efficiency and conservation initiatives. These insights extend into sustainability and ESG metrics tracking, consumption forecasting, billing integration, and auditable regulatory reporting and compliance workflows.

Role-Based Human-Machine Interface

Role-Based Human-Machine Interface & Conversational AI

The human-in-the-loop interface facilitates teams to review and validate exceptions, resolve discrepancies with confidence, and maintain full operational oversight. It allows models to learn from feedback and new data, improving accuracy over time. Operators can also query network status, asset conditions, and priorities directly within their workflows using a conversational AI interface. 

Predictive Maintenance

Predictive Maintenance

Concentio Cortex uses AI to evaluate asset health across pumps, motors, valves, & critical equipment using multi-sensor signals such as electrical load, temperature, pressure, runtime, and operating curves. It enables a shift from reactive response to proactive, data-driven maintenance. Intermittent connectivity, offline buffering, & edge processing ensure continuous intelligence even in constrained network conditions.

Proven Impact & Measurable Utility Performance

Concentio Smart Utilities transforms real-time operational data into financial, operational, and sustainability outcomes that directly support strategic mandates for reliability, cost efficiency, and ESG performance.

0% uptime across critical utility infrastructure

Uptime across critical utility assets

0-0% forecasting accuracy for resource demand and consumption

Demand and consumption forecasting accuracy

0-0% leak detection accuracy, driving a 10–25% reduction in NRW

Leak detection accuracy, driving a 10–25% reduction in NRW

0-0% efficiency gains in pumps & motors, with 15–30 MWh/year savings per 1,000 connections

Pump and motor efficiency gains; 15–30 MWh/year savings per 1,000 connections

How Concentio Powers Smart Utility Operations

Connect the Network and Capture Operational Data

Concentio establishes secure connectivity across smart meters, PLCs, RTUs, SCADA platforms, AMI gateways, sensors, and enterprise and environmental data sources using protocols like MQTT, Modbus, OPC-UA, and REST APIs. Data is captured in real time or batch modes and reliably delivered from field and control systems, enabling analytics, operational visibility, and automated workflows.

Connect the Network

Standardize and Interoperate Utility Data

Data from water, energy, district cooling, and other utility domains is harmonized with complete context into Concentio’s Smart Data Model, aligning assets, zones, DMAs, reservoirs, customers, and events to create a unified operational view. This orchestrated intelligence layer breaks down silos across OT, IT, and business systems, so teams get consistent semantics and asset relationships.

Standardize and Interoperate

Apply AI for Detection, Forecasting, and Risk Assessment

Concentio Cortex applies machine learning and advanced analytics to detect anomalies, forecast demand and consumption, assess asset health, and surface operational risks across utility networks. Models run at the edge, in the cloud, or in hybrid configurations to provide low-latency insights even in remote environments and support system-wide analysis and predictive intelligence.

Apply AI for Detection

Real-Time Operational Intelligence and Coordinated Action

Interactive dashboards, GIS-enabled digital twins, and configurable alerts offer real-time visibility into network performance and asset conditions. Operators can review exceptions, prioritize interventions, and trigger workflows, work orders, and field actions directly from the interface to coordinate timely response across control rooms and field teams.

Real-Time Operational Intelligence

Improve Performance, Resilience, and Sustainability

Continuous-learning models adapt to evolving network conditions using new data and operator feedback, so utilities shift from reactive fixes to sustained performance improvement. This closed-loop approach supports efficiency gains, service reliability, loss reduction, and measurable progress against sustainability and ESG objectives.

Improve Performance

What IoT Devices & Data Sources Do We Support?

Concentio Smart Utilities can connect to, reference, and link a wide ecosystem of industrial IoT and live telemetry devices across utility networks.

Enterprise-Grade Compliance

Concentio Smart Utilities embeds data protection, system security, and auditability at its core.

SOC
ISO
  • Security and Data Protection by Design

    Provides end-to-end encryption and adheres to ISO 27001 and SOC 2 security standards.

    Security and Data Protection by Design
  • OT-Friendly Architecture and Standards Alignment

    Coexists with existing OT systems and aligns with industry mandates for utility network operations.

    OT-Friendly Architecture and Standards Alignment
  • Regulatory and ESG Reporting Support

    Operational metrics integrate into regulatory, billing, and ESG reporting with full traceability.

    Regulatory and ESG Reporting Support

Clients

We are trusted by enterprises globally.

Concentio Integrates Seamlessly Across IoT and Enterprise Environments

Connect IoT devices, platforms, and data sources through secure APIs to enable reliable, real-time data flow across unified operations without disrupting existing workflows.

Unify Utility Operations, Data, and Decisions with AI-Powered Intelligence using Concentio

AI-first IoT orchestration platform that unifies meters, sensors, SCADA, and field systems into a single control layer for real-time monitoring, predictive maintenance, and network optimization.

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Frequently Asked Questions

Smart Utilities refers to an integrated software platform that helps water, energy, and district cooling providers operate more efficiently. It uses IoT technologies, real-time data visibility, advanced analytics, and automation to optimize utility networks. Smart Utilities software enables proactive decision-making, network optimization, and improved service reliability.

No. Concentio does not replace existing systems; it enhances them. It connects and consolidates critical operational data through SCADA integration, PLC/RTU connectivity, and data orchestration layers within a single platform. Concentio also creates a digital twin for utilities and supports bidirectional data exchange with SCADA, AMI, GIS, and other systems.

Deployment timelines vary based on integration requirements and network complexity. However, many utilities begin with a Smart Water Distribution or energy-zone pilot within a few weeks. IoT devices and telemetry can be onboarded quickly, providing rapid insights, network optimization capabilities, and measurable improvements from day one.

Yes. Concentio supports multi-service utility environments, including water, energy, and district cooling operations within a unified intelligence layer. It enables large-scale infrastructure management, including smart energy systems, smart water solution rollouts, and large-scale grid infrastructure. The platform supports asset health management, predictive maintenance for utilities, and planning across interconnected service domains.

Concentio strengthens sustainability and ESG programs using AI-driven insights for resource efficiency. It combines AI in water management, energy monitoring system analytics, leakage detection, and consumption behavior intelligence to reduce waste, optimize operations, and improve water and energy efficiency. Accurate forecasting and anomaly detection also support measurable ESG outcomes.

The platform’s AI-powered analytics support network optimization, forecasting, anomaly detection, and predictive maintenance for utilities. It helps identify issues early, optimize pump and equipment scheduling, reduce non-revenue water (NRW) and energy loss, and improve service reliability.