IoT Fabric
IoT connectivity (MQTT/CoAP/LoRaWAN), industry solutions with Modbus/OPC-UA integration, edge compute, and endpoint security for OT.
What IoT Fabric is
The IoT Fabric connects physical devices to data platforms to endpoint security controls — from the industrial sensor on a factory floor communicating over Modbus or OPC-UA, to the temperature logger in a cold-chain logistics shipment transmitting via cellular IoT, to the edge computing node that processes telemetry locally before forwarding insights to the cloud. Connectivity, device management, protocol translation, industry-specific solutions, and endpoint security are delivered as one managed layer rather than requiring the operator to integrate a connectivity provider, a device-management platform, a cloud ingestion pipeline, and a security tool from separate vendors. The fabric interfaces with existing industrial protocols and OT infrastructure so you gain real-time device visibility and data ingestion without replacing the PLCs, RTUs, and SCADA systems you already operate — because rip-and-replace defeats the operational ROI of IoT deployment at industrial scale.
How IoT Fabric is composed
The IoT Fabric carries data from physical equipment into the systems that act on it. It is built to interface with industrial plant as it stands, so visibility and telemetry arrive without replacing the controllers running production.
Device connectivity
Cellular, LPWAN, LoRaWAN, Wi-Fi and wired connectivity for sensors, meters, gateways and vehicles, with SIM and subscription management handled centrally. Devices on constrained power and bandwidth get a transport matched to that budget.
Protocol translation and ingestion
Modbus, OPC-UA, MQTT, CoAP and other industrial and messaging protocols normalised into a common data model at the edge or in the cloud. The plant keeps speaking what it speaks, and the data platform receives something consistent.
Edge compute
Local processing for latency-bound decisions, bandwidth-limited sites and locations where connectivity cannot be assumed. Inference on the edge node means an alert fires even when the uplink is down.
Device management and identity
Provisioning, firmware update, configuration and certificate lifecycle for the device fleet, with a per-device identity so that a credential compromise is scoped to one device rather than the whole estate.
Data platform and analytics
Telemetry ingestion into a time-series and analytics platform, where operational data joins business systems for reporting, predictive maintenance and process optimisation.
Operational technology security
OT-aware segmentation and monitoring that profiles device behaviour and flags deviation, deployed passively so that production equipment is observed rather than interrogated.
How we run it
Design is the smaller half of the work. These are the operating practices that keep IoT Fabric behaving as designed once it is live.
Fleet health and lifecycle
Device online status, connectivity cost, firmware version and certificate expiry are tracked across the fleet, so a batch of devices ageing out of certificate validity is a scheduled task rather than an unplanned outage.
Progressive rollout
Connected deployments start with one line, one site or one asset class, prove the data path end to end, and extend from there. Industrial deployments that start at portfolio scale tend to stall.
Integration with existing plant
The fabric interfaces with the PLCs, RTUs, SCADA and historians already in place, reading from them without requiring a controller replacement as the entry price.
Data governance
Device data classification, access control and retention are defined so that telemetry from a plant network does not arrive in a business system without an owner, and so that operational detail is not exposed where it should not be.
Products on IoT Fabric
Each product is available as a managed service on this fabric.
Frequently asked questions
Do we have to replace our existing PLCs and SCADA to adopt the IoT Fabric?
No. The fabric reads from existing controllers and historians over the protocols they already support. Replacement is a decision you make on equipment lifecycle grounds, not a precondition for getting telemetry out of the plant. This matters because rip-and-replace is what usually kills the business case for industrial IoT before the first dashboard is built.
How do you keep an OT deployment from opening a path into production?
The operational network is segmented from the corporate estate, and the monitoring deployed on it is passive. Data leaves the plant network through a controlled path with its own policy, so telemetry arrives in the business systems without a general-purpose route existing in the other direction. Device identities are per-device, which limits the blast radius of a single compromised sensor.
What happens to the data when a site loses connectivity?
Edge nodes buffer and, where the use case needs it, process locally. Decisions that must not wait for an uplink are made on the edge node and the records are reconciled when connectivity returns. Sites that cannot assume a reliable uplink are designed for that condition from the start rather than treated as an exception.
Is this only for large manufacturing estates?
No. The same fabric covers cold-chain logistics, building systems, utility metering, fleet telemetry and retail estate monitoring. The common thread is physical equipment generating data that a business process needs, and the deployment starts at whatever scale proves the value fastest.
Architect on the right fabric
Tell us your workload — we will map the right products across the fabric.