Implementation · Service 12

IoT Solutions.

From sensor to insight — telemetry ingestion, edge compute, digital twin and real-time analytics for physical operations.

1M+
Devices under management
<500ms
Edge-to-cloud latency
99.9%
Message-delivery SLA
3
Cloud IoT stacks certified
Overview

Where bits meet atoms.

IoT only delivers when the loop closes: sensor → event → decision → action → outcome. We've built that loop for manufacturing, housing (smart meters), logistics and retail — with the governance, safety and observability that operational-grade systems require.

Partners with our Engineering Services practice (embedded and semiconductor) means we can go all the way down to the device firmware where needed.

Where we help.

01

Sensor & telemetry integration

Industrial protocols (OPC-UA, Modbus, MQTT), consumer IoT, LPWAN (LoRaWAN, NB-IoT).

02

Edge computing

On-device / gateway processing for latency, cost or connectivity constraints.

03

Digital twin

Operational model of the physical estate, synchronised in near-real-time, queryable and simulatable.

04

Real-time analytics

Streaming pipelines, anomaly detection, operational dashboards.

05

Device management

Fleet operations, firmware OTA, security monitoring, lifecycle management.

06

Safety & resilience

Fail-safe design, offline operation, incident handling — operational-grade concerns.

How we work

Pilot to fleet.

1
Weeks 1–4

Pilot

Small fleet, end-to-end value chain, measurable outcome.

2
Weeks 5–12

Harden

Safety, resilience, security, observability at operational grade.

3
Months 4–9

Scale

Fleet rollout, device management at scale, operational integration.

4
Ongoing

Operate

Managed service or capability hand-over.

Deliverables

  • Device-to-cloud pipelineIngestion, processing, analytics, visualisation.
  • Edge applicationWhere latency / cost / connectivity require it.
  • Digital twinOperational model with simulation capability.
  • Device management platformFleet, firmware, security, lifecycle.
  • Operations runbookSRE for physical systems.
  • Business-case evidenceOEE, downtime, consumption, safety — before/after.
Technology

Tools & frameworks we use.

Azure IoT Hub
AWS IoT Core
Google Cloud IoT
MQTT
Kafka
Kinesis
Event Hubs
Edge Impulse
Azure IoT Edge
AWS Greengrass
OPC-UA
Modbus
LoRaWAN
NB-IoT
In production

A real engagement.

Case study

Manufacturer — OEE lift of 9.2pp across 4 plants.

IoT across OPC-UA lines, edge anomaly detection, real-time OEE dashboards and closed-loop shift optimisation. 9.2pp OEE improvement across four plants within 10 months.

Read full case study
+9.2pp
OEE
4
Plants
£3.1m
Annual uplift
10 mo
Rollout
FAQ

Common questions.

Can you work with our OT team?+
Yes. OT/IT bridges are where we earn our keep. We respect change-control, safety and stability boundaries.
What about connectivity in remote sites?+
We design for offline-first where needed — edge processing, store-and-forward, LPWAN, sometimes satellite.
How do you handle security?+
Device identity, encryption in transit + rest, firmware signing, certificate rotation, anomaly detection on fleet behaviour.
Do you build hardware?+
Not the device itself — we partner with hardware providers. Our Engineering Services practice covers embedded software, firmware and semiconductor-adjacent work.
Ready when you are

Put your data to work.

Book a free 30-minute consultation with a senior Databuzz consultant.