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Cloud & platform

IoT & Connected Device Software

Connected hardware produces enormous volumes of data and very little insight by default. The software problem is rarely the connection — it is ingesting telemetry reliably, managing devices you cannot physically reach, and turning readings into something operations can act on.

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Helps us propose a realistic scope.

Capabilities

What this covers

Device connectivity

Protocol integration and secure device-to-cloud communication across intermittent, low-bandwidth and unreliable network conditions.

Telemetry ingestion

High-volume event pipelines that absorb bursts without dropping readings, built on streaming infrastructure rather than request-per-reading APIs.

Fleet management

Provisioning, configuration, health monitoring and remote diagnostics for estates too large or too distant to service by hand.

Over-the-air updates

Staged firmware and configuration rollout with health checks and rollback, because a bad update to unreachable hardware is expensive.

Operational dashboards

Interfaces that show estate state at a glance and surface the specific devices needing attention, rather than presenting raw telemetry.

Edge processing

Filtering and aggregating on-device where bandwidth is constrained or a decision cannot wait for a network round trip.

How we work

From first conversation to running software

  1. 01

    Understand the estate

    What the hardware is, where it sits, how it connects, and what the field conditions actually are rather than what the spec sheet assumes.

  2. 02

    Design the data path

    What gets measured, what gets transmitted, what gets stored and for how long — decisions that determine both cost and usefulness.

  3. 03

    Build ingestion and control

    Telemetry pipelines and device management built together, since a fleet you can observe but not update is only half a system.

  4. 04

    Operationalise

    Dashboards, alerting thresholds and escalation paths defined with the people who will respond to them.

Tell us about the estate you need to see

Discuss an IoT project
Our work

Platforms we've built

Projects from our portfolio. Each has its own write-up.

All case studies
Fourth Partner Energy case study

Renewable Energy

Fourth Partner Energy

Web, Android and the data-crunching backend behind a distributed solar portfolio spanning 3,000+ projects.

Stack

What we build it with

Selected for what this kind of system needs, not a default toolkit.

Ingestion

Apache Kafka

Kafka

Amazon Kinesis

Amazon Kinesis

Azure Event Hub

Azure Event Hub

Platform

Amazon Web Services

AWS

Microsoft Azure

Azure

Docker

Docker

Kubernetes

Kubernetes

Storage

PostgreSQL

PostgreSQL

MongoDB

MongoDB

Apache Hive

Apache Hive

Industries

Where this work tends to land

Each of these sectors shapes the work differently — the industry page covers the specifics.

All industries
Questions

IoT & Connected Devices: common questions

Not covered here?

Send the question over and we'll answer it directly.

Ask us
  • 01

    Do you build the hardware as well?

    No — we build the software side: connectivity, ingestion, device management and the interfaces on top. We work alongside your hardware team or manufacturer, and can advise on the firmware interface where it affects what the platform can do.

  • 02

    How do you handle devices with unreliable connectivity?

    By assuming the connection will drop. Devices buffer locally and transmit when they can, the ingestion side is designed to accept out-of-order and delayed readings without corrupting the picture, and the interface distinguishes 'no reading' from 'reading of zero' — a distinction that matters more than it sounds.

  • 03

    How much telemetry should we actually collect?

    Less than the hardware can produce, in most cases. Storage and transfer costs scale directly with volume, and the majority of high-frequency readings are never queried. Aggregating at the edge and retaining full resolution only where it is genuinely used is usually a large cost difference for no lost insight.

  • 04

    Can you integrate with an existing device fleet?

    Yes. Working with hardware already in the field is common, and the approach depends on what those devices can already do — sometimes it means building around their existing protocol, sometimes an intermediary gateway that translates for them.

  • 05

    How do you update software on devices in the field?

    Through staged over-the-air rollout with health checks between stages and a rollback path. Updating everything at once is how a fleet becomes unreachable, and unreachable hardware means a physical visit.

Next step

Tell us about the estate you need to see

Describe your hardware, how it connects, and what operations need to know. We'll come back with an assessment of the data path.

  • Reply within one business day
  • NDA on request