--- title: IoT Solutions | Claritas One description: IoT platforms and solutions engineered for regulatory, scale and reliability requirements. url: https://claritasone.com/solutions/industry/iot canonical: https://claritasone.com/solutions/industry/iot kind: solution source: https://claritasone.com/solutions/industry/iot author: Claritas One datePublished: 2016-01-01 dateModified: 2026-04-18 updated: 2026-04-18 publisher: Claritas One --- # IoT & Connected Intelligence *Solutions / Industry* > We architect and deliver industrial-grade IoT platforms — from edge computing infrastructure and device management to real-time data pipelines and digital twin systems — engineered to the reliability, security, and integration standards that operational technology environments demand and that enterprise IT governance requires. [Home](https://claritasone.com/) › [Solutions](https://claritasone.com/solutions) › [Industry Solutions](https://claritasone.com/solutions/industry) › **IoT Solutions** ## Overview Industrial IoT deployments operate at the intersection of two historically separate engineering disciplines — operational technology and information technology — that carry fundamentally different assumptions about system availability, update cadence, and failure tolerance. A firmware update cycle that is acceptable for a consumer app is unacceptable for a sensor network monitoring a refinery or a hospital HVAC system. A security vulnerability that causes a mobile app outage causes a critical infrastructure disruption when it exists in an industrial controller. Organisations that deploy IoT infrastructure without engineering for this intersection — treating industrial devices as small servers and OT networks as IP networks — discover the difference at the point of failure. Our IoT engineering practice is built around the OT/IT convergence challenge: we design systems that bring information technology capabilities to operational environments without compromising the reliability and safety characteristics that those environments require. ## Our Approach ### 1. IoT Architecture Design & OT/IT Convergence Strategy We assess your operational environment — device categories, communication protocols, network topology, and safety requirements — and design an IoT architecture that bridges OT and IT domains appropriately: preserving the determinism and isolation requirements of operational systems while enabling the data flows required for analytics and optimisation. ### 2. Edge Computing & Gateway Engineering We design and deploy edge computing nodes that perform local data processing, protocol translation, and event-driven logic execution at the device layer — reducing cloud bandwidth requirements by 70-90%, enabling sub-millisecond response times for safety-critical applications, and maintaining operational continuity during cloud connectivity interruptions. ### 3. Device Management & Fleet Operations Platform We build device management platforms that handle fleet-scale provisioning, certificate rotation, firmware deployment with rollback capability, health monitoring, and anomaly detection — giving your operations team a unified control plane for thousands or millions of distributed devices without proportional support overhead. ### 4. IoT Data Platform & Time-Series Analytics We implement high-throughput IoT data pipelines using MQTT, AMQP, and industrial protocols — ingesting device telemetry into time-series databases optimised for sensor data patterns, and building analytics layers that surface operational intelligence through real-time dashboards and predictive maintenance models. ### 5. Digital Twin Modelling & Predictive Maintenance We design digital twin systems that maintain real-time simulation models of physical assets — enabling scenario analysis, performance optimisation, and predictive failure detection that extends asset life, reduces unplanned downtime, and provides the operational data required for capital planning decisions. ## Capabilities - Industrial IoT architecture bridging OT and IT domains with protocol translation - Edge computing platform with local ML inference and offline-first resilience - Fleet-scale device management with certificate rotation and OTA firmware deployment - High-throughput IoT data ingestion supporting MQTT, AMQP, OPC-UA, and Modbus - Time-series database implementation optimised for high-cardinality sensor data - Predictive maintenance ML models with equipment-specific degradation pattern detection - Digital twin platform with real-time simulation and scenario analysis capability - IoT security architecture: device identity, network segmentation, and anomaly detection ## Outcomes | Metric | Value | | --- | --- | | Reduction in unplanned downtime through predictive maintenance | **85%** | | Device telemetry events processed per day in production | **10M+** | | Edge processing latency for safety-critical applications | **< 10ms** | | Reduction in cloud data transfer costs through edge processing | **70%** | ## Next Step **Connect Your Operations and Turn Device Data Into Competitive Advantage** Our IoT architects will assess your operational environment and design a connected intelligence platform that delivers measurable efficiency gains from day one. → [Get a proposal](https://claritasone.com/get-a-proposal) · [Contact us](https://claritasone.com/contact) --- View the live page: About Claritas One: · Contact: · All pages: