Connect millions of devices, collect real-time telemetry and turn raw sensor data into operational intelligence — all on Microsoft Azure. Cambay designs and builds enterprise IoT solutions that drive measurable outcomes for manufacturers, facilities managers and field operations teams.
Azure IoT is Microsoft's comprehensive platform for connecting, managing and analysing data from physical devices — from industrial sensors and smart meters to connected vehicles and building management systems. It provides the full stack: device connectivity, data ingestion, real-time analytics, edge intelligence and visualisation.
Cambay designs end-to-end IoT architectures — from device provisioning and secure connectivity through to real-time dashboards, predictive alerting and integration with your business systems — ensuring your IoT investment delivers operational outcomes from day one.
Azure IoT solves the real operational problems that organisations face when trying to harness data from connected devices and physical assets.
Machine breakdowns are discovered only after they happen — causing unplanned production stoppages, missed delivery deadlines and expensive emergency repair callouts that destroy margins.
Azure IoT Hub collects real-time vibration, temperature and pressure telemetry. Azure ML models predict failure days in advance, triggering automated work orders before equipment ever breaks down.
Operations managers must visit sites or rely on manual status reports to understand plant performance. By the time data arrives, the window to act has already closed.
Azure IoT Hub + Power BI delivers a single live view of every site, asset and KPI — from energy consumption and OEE to environmental conditions and cycle times — on any device, anywhere.
Some decisions — a safety shutoff, a quality reject, a conveyor stop — must happen in milliseconds. Sending data to the cloud and waiting for a response is simply too slow.
Azure IoT Edge deploys AI models directly onto the device or gateway — enabling millisecond decisions locally, even without internet connectivity, with cloud sync when available.
Energy is one of your largest cost lines but you have no granular visibility of consumption by asset, shift or production run — making it impossible to identify waste or validate improvements.
Azure IoT connects smart meters and energy sensors, streaming consumption data into Azure Stream Analytics and Power BI — giving operations teams actionable insight to reduce energy spend by 15–25%.
IoT data sits in proprietary SCADA systems and never flows into Business Central, SAP or your ERP — creating a permanent disconnect between operational and financial data.
Cambay integrates Azure IoT telemetry directly with Business Central, Dynamics 365 and SAP — auto-raising production journals, maintenance work orders and inventory transactions from device events.
Your factory has machines from multiple decades with Modbus, OPC-UA, RS-485 and proprietary protocols — and no clear path to getting that data into the cloud without expensive custom middleware.
Cambay deploys Azure IoT Edge gateways with industrial protocol adaptors (Modbus, OPC-UA, MQTT, AMQP) that normalise legacy equipment telemetry into a unified Azure data stream — no machine upgrades required.
From device connectivity and edge intelligence to real-time analytics and digital twins — Cambay delivers every layer of a production-grade Azure IoT platform.
The backbone of any Azure IoT solution — a fully managed cloud gateway that enables bi-directional communication between your IoT applications and millions of devices at enterprise scale.
Every device gets a unique X.509 or SAS token identity — eliminating shared credential risk and enabling zero-trust device security.
Send telemetry from devices to cloud and commands from cloud to devices — with delivery guarantees, ordering and exactly-once processing.
Route messages by device type, property or content to different storage, processing and analytics endpoints automatically.
Maintain a digital record of each device's desired and reported configuration state — enabling remote configuration and status monitoring.
Auto-register millions of devices at scale using DPS — with zero-touch, just-in-time provisioning to the right IoT Hub instance.
Built-in monitoring of message throughput, device connectivity and routing delivery — integrated with Azure Monitor and alerts.
Bring cloud intelligence to the device. Azure IoT Edge runs AI models, stream analytics and business logic directly on edge hardware — enabling real-time decisions without cloud round-trips.
Deploy Azure ML models directly onto edge devices for real-time inference — object detection, anomaly detection, quality inspection.
Edge modules continue processing and storing data during connectivity loss — syncing with the cloud automatically when reconnected.
Native support for Modbus, OPC-UA and MQTT via edge modules — bridging legacy OT equipment into the Azure IoT ecosystem.
Edge workloads run as Docker containers — enabling consistent deployment, version control and remote update of edge logic.
Deploy, update and monitor edge modules remotely from the Azure portal — with layered deployments for device fleet management.
Integrates with TPM chips and secure enclaves for hardware-backed device identity and encrypted workload attestation.
A fully managed IoT SaaS platform — get devices connected, telemetry flowing and dashboards live in days. Ideal for organisations that want the power of IoT Hub without managing infrastructure.
Define device capabilities, telemetry schemas and UI visualisations using pre-built templates — accelerating time to first insight.
Customisable real-time dashboards for operators — no Power BI licence required for operational monitoring use cases.
Define threshold-based or ML-powered rules that trigger alerts, emails, webhooks or Power Automate flows automatically.
Stream all telemetry, property changes and lifecycle events to Azure Event Hubs, Blob Storage or Service Bus for downstream processing.
Multi-role access — administrators, builders, operators and viewers — with granular permission control per device group.
Self-describing devices using DTDL model definitions auto-configure in IoT Central — eliminating manual device onboarding effort.
Process millions of IoT events per second in real time using SQL-like queries — detecting anomalies, triggering alerts and routing enriched data to downstream systems with sub-second latency.
Write familiar SQL queries against streaming data — windowed aggregations, joins across streams, pattern detection — no specialist skills needed.
Built-in ML-based anomaly detection identifies unexpected spikes, dips or trend changes in sensor streams — triggering instant alerts.
Aggregate device telemetry over fixed time windows — calculating averages, counts and thresholds for operational KPI dashboards.
Route processed stream output simultaneously to Power BI, Azure SQL, Blob Storage, Event Hubs, Service Bus or custom endpoints.
Run the same stream analytics queries on Azure IoT Edge hardware for ultra-low latency local processing and alerting.
Automatically scales to handle sudden spikes in device message volume with guaranteed at-least-once delivery semantics.
Create a live, dynamic digital model of your physical environment — factory floor, building, supply chain or city — enabling simulation, optimisation and what-if analysis from real-world data.
Define the relationships between assets, spaces, systems and processes using the Digital Twins Definition Language standard.
Visualise how machines, production lines, buildings and supply chain nodes relate to each other in a queryable knowledge graph.
IoT Hub events continuously update the digital twin's state — so the model always reflects the actual condition of the physical asset.
Run simulations against the digital model — testing process changes, layout optimisations or capacity scenarios before applying in the real world.
Query digital twin graphs at scale using Azure Synapse Analytics — combining operational history with financial and supply chain data.
Model building spaces, HVAC, lighting and occupancy — optimising energy consumption and space utilisation from real-time sensor data.
Explore, analyse and visualise historical IoT telemetry at scale. Time Series Insights provides a purpose-built analytics environment for understanding long-term device behaviour and operational trends.
Visualise and drill down into billions of time-series data points with a browser-based explorer — no coding required for operational teams.
Identify seasonal patterns, long-term drift and recurring anomalies across device fleets — informing preventive maintenance schedules.
Hot path for recent data (last 30 days) and cold path for historical storage — balancing query speed with long-term retention cost.
Query time-series data programmatically via REST API — integrating historical device data into custom dashboards and applications.
Surface Time Series Insights data directly in Power BI reports alongside ERP and financial data for unified operational reporting.
Quickly navigate to the exact timestamp of an incident across thousands of asset time series — accelerating root cause analysis.
Cambay's structured IoT delivery methodology connects your first device in week one and scales to full production intelligence in weeks — not years.
Asset audit, connectivity assessment and use case prioritisation. Define the device types, protocols, data volumes and business outcomes for Phase 1.
Design the end-to-end IoT architecture — connectivity, ingestion, processing, storage and visualisation — aligned to your security and compliance requirements.
Connect the first devices, configure IoT Hub or Central, deploy edge gateways for legacy OT equipment and validate telemetry flow end-to-end.
Build Stream Analytics queries, configure alerting rules, develop Power BI dashboards and integrate IoT data with ERP and business systems.
Layer in predictive maintenance ML models, digital twins and advanced analytics — then scale the platform to the full device estate.
Cambay connected 400 CNC machines across 3 US sites to Azure IoT Hub in 10 weeks — including 25-year-old machines using Modbus that we thought could never be connected. We now have real-time OEE, predictive maintenance alerts and energy monitoring that has already cut our downtime by 38%.Operations Director · Precision Engineering Group
Have a question about IoT connectivity or Azure? Our IoT engineers are happy to help.
Speak to an IoT ExpertYes. Azure IoT Edge with industrial protocol modules (Modbus RTU/TCP, OPC-UA, PROFIBUS, Ethernet/IP) bridges legacy OT equipment — regardless of age — into the Azure IoT ecosystem. Cambay has connected equipment from the 1980s to Azure without requiring machine upgrades or PLC replacements.
IoT Hub is the foundational PaaS service — giving you complete control and flexibility but requiring development effort to build dashboards, rules and device management. IoT Central is a fully managed SaaS application built on top of IoT Hub — providing built-in dashboards, device templates and alerting with no infrastructure management. Cambay recommends IoT Central for rapid deployment and IoT Hub for complex, custom architectures.
Azure IoT implements a defence-in-depth security model. Each device gets a unique cryptographic identity (X.509 certificate or SAS token) — eliminating shared credential risk. All communication is encrypted with TLS. IoT Hub supports private endpoints to prevent public internet exposure. Azure Defender for IoT provides continuous device security monitoring and threat detection.
Azure IoT Hub pricing is based on the number of messages per day — starting from approximately $0.45/month per device for 4,000 messages/day (Basic tier). IoT Central is priced per device per month. Edge computing on your own hardware has no Azure licensing cost for the runtime. Cambay provides a detailed cost model based on your device count and message volume before any project begins.
Yes. Cambay integrates Azure IoT telemetry with Business Central, Dynamics 365, SAP and other ERP systems — automatically raising production journals, maintenance work orders, inventory adjustments and alerts from device events. This eliminates the manual data entry that currently disconnects operational and financial data.
Azure Digital Twins creates a live virtual model of your physical environment — showing how assets relate to each other and their current state. It's most valuable for complex environments (multi-site factories, buildings, supply chains) where understanding the relationships between assets is as important as the individual telemetry. For simpler use cases, IoT Hub and Power BI dashboards are often sufficient.
A focused Phase 1 — connecting a defined set of devices and delivering operational dashboards — typically takes 8–12 weeks. The scope depends on device variety, protocol complexity and integration requirements. Cambay starts with a discovery workshop, produces a phased roadmap and delivers an initial pilot with 10–20 devices before scaling to the full fleet.
Not necessarily. Azure IoT can complement existing SCADA systems — reading telemetry via OPC-UA or Modbus and streaming it to Azure for cloud analytics, without replacing the SCADA's operational control function. This protects your existing investment while adding cloud-scale analytics, AI and remote visibility on top.
Book a free IoT Discovery session with a Cambay Azure IoT engineer. We'll review your device estate, connectivity options and highest-value use cases — and give you a phased roadmap at no cost.
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