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AI-first IoT platform to unify meter, sensor, and control-room data into one intelligence layer. Powers digital transformation so operators get a real-time, interactive view of utility processes and infrastructure for better decision-making.
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Concentio Smart Utilities is Scry AI’s IoT platform designed to manage and control energy and environmental systems, including electricity, gas, water, heating, and cooling. It creates a digital twin of assets and systems such as smart meters, PLCs, SCADA, AMI, GIS, and OT/IT systems, through two-way data exchange. Using AI and data analytics, the platform monitors resource consumption, visualizes assets, supports predictive maintenance, and detects anomalies across the utility network.
Utility operators generate massive volumes of telemetry, yet most smart utility software fails to convert it into actionable operational insights, leaving teams reactive rather than proactive.
Fragmented SCADA, AMI, GIS, and ERP systems limit unified operational visibility and slow decision-making.
Leaks, meter drift, and unauthorized usage go undetected without continuous DMA-level analytics.
Without predictive diagnostics, teams default to break-fix maintenance and suffer more unplanned outages.
Utilities struggle with reporting requirements due to inconsistent, non-integrated operational datasets.
The Concentio Smart Utilities Platform unifies IoT connectivity, analytics, and AI-driven automation to support sustainable operations and profitable utility management.
The platform connects to smart meters, sensors, PLCs, SCADA, AMI, GIS, ERP, and external data sources through standard protocols and APIs. It standardizes all incoming information under a Smart Data Model that supports cross-utility operations across power, water, district cooling, and environmental systems.
Concentio creates digital twins of distribution networks, DMAs, reservoirs, pumping stations, and critical assets. Operators can view flows, pressures, and consumption on interactive network maps. They can also test scenarios in a virtual environment before field deployment, which leads to stronger decisions and improved operational efficiency.
The platform provides District Metered Area (DMA)-level visibility and NRW analytics that detect anomalies such as continuous night flow, unexpected pressure drops, or abnormal consumption behavior. It enables service providers to prioritize leak detection in high-risk zones for faster, more targeted responses and reduced losses.
By merging meter data with tariff and customer information, Concentio builds detailed consumption profiles. It measures energy usage, emissions, water reuse, and intensity metrics, and links operational activities to ESG objectives. This supports regulatory compliance, internal sustainability dashboards, precise load forecasting, and demand management initiatives. It also alerts customers about unusual usage, suspected leaks, or billing concerns.
A unified web interface delivers real-time dashboards, alerts, and structured workflows. It allows field teams to access system data on mobile devices and close work orders in real time, which aligns execution between control rooms and field operations.
The built-in Concentio Cortex analyzes vibration, electrical load, runtime, and performance curves to predict asset failures. Maintenance teams receive risk-based recommendations on when to inspect, repair, or replace assets, which improves uptime and reduces emergency callouts.
Machine learning models examine flows, pressures, and usage patterns to detect operational irregularities that indicate leaks, bursts, or equipment underperformance. This significantly reduces the interval between event detection and corrective action.
Network managers can configure custom workflows for events, tickets, and approvals. Using Auriga integration, operators can query, control, and monitor IoT assets through natural language via chat or voice. Questions such as “Show DMAs with increased night usage in the past week” or “Which pumps require service soon?” can be asked. The platform returns source-linked answers, charts, and recommended actions, which empower operators to act with clarity and speed.
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.
uptime across critical utility infrastructure
forecasting accuracy for resource demand and consumption
leak detection accuracy, driving a 10–25% reduction in NRW
efficiency gains in pumps & motors, with 15–30 MWh/year savings per 1,000 connections
Concentio connects to smart meters, PLCs, RTUs, SCADA systems, AMI gateways, sensors, and external APIs using standard protocols such as MQTT, Modbus, OPC-UA, and REST. Data streams are ingested securely in real-time, either continuously or in batches.
Incoming data is mapped into Concentio’s Smart Data Model, aligning assets, zones, DMAs, reservoirs, customer groups, and events into a unified operational view. This breaks down silos across OT, IT, and business systems.
Concentio Cortex AI applies machine learning and advanced analytics to detect anomalies, predict failures, estimate demand, and optimize network operations. Models can run at the edge, in the cloud, or in hybrid modes.
Interactive dashboards, digital twins, and configurable alerts enable operators to understand what is happening in the network and why. Operators can simulate scenarios, prioritize interventions, and trigger workflows or work orders directly from the interface.
Continuous-learning models update themselves based on new data and operator feedback. Utilities move from one-off fixes to a continuous improvement loop that boosts efficiency, strengthens resilience, and drives long-term sustainability.
Concentio Smart Utilities can connect, reference, and link to a wide ecosystem of industrial IoT and live telemetry devices across water, energy, and district cooling networks.
Concentio Smart Utilities embeds data protection, system security, and auditability at its core.
Provides end-to-end encryption and adheres to ISO 27001 and SOC 2 security standards.
Coexists with existing OT systems and aligns with industry mandates for utility network operations.
Operational metrics integrate into regulatory, billing, and ESG reporting with full traceability.
We are trusted by enterprises globally.
Connect IoT devices, platforms, and data sources through secure APIs to enable reliable, real-time data flow across unified operations without disrupting existing workflows.
Uncover leaks, inefficiencies, and non-revenue losses that traditional SCADA and billing systems cannot detect.
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