Practice

IoT and edge computing, built from the sensor to the screen

Sensor integration, real-time monitoring dashboards, and power and process analytics for industrial and infrastructure sites — with the processing that matters happening on site, not in a distant data centre.

One team for the hardware and the dashboard

IoT projects usually fail at a handover. An integrator installs sensors, a second vendor writes the gateway firmware, and a third builds a portal from whatever fields the first two agreed on. Every question that crosses those boundaries — why a reading is wrong, why a gap appears at 3am, why a new sensor type takes three months — becomes a negotiation between suppliers.

We build across the whole path instead: embedded systems, the edge software, the data layer and the interface people actually look at. The people who choose the sensor also ship the dashboard, so there is nobody to hand the problem to.

What we build

Why the processing belongs at the edge

Sending every reading to a cloud platform is expensive in bandwidth, fragile on a rural or industrial connection, and slow when a decision has to be made in milliseconds. It also means your operational data lives in an account you do not control, priced per device per month.

Running the pipeline on site inverts all three. Raw data stays local, only what is worth keeping is forwarded, control loops keep working when the uplink does not, and the recurring cost is electricity rather than a subscription. Where a cloud component genuinely helps — long-term history, multi-site rollups, remote access — we put it in an account you own.

How a project runs

We start with a survey of what is already installed, because most sites have more instrumentation than anyone realises and the cheapest sensor is the one already on the wall. From there we scope a first deployment narrow enough to prove value in weeks, then extend it. Custom is the default: the dashboards, thresholds and reports are built around your process, not configured from a generic template.

The same edge infrastructure often runs our video analytics workloads, so a site can get sensor monitoring and computer vision from one box and one supplier.

Scope
Embedded, edge, data layer and interface
Processing
On site, with optional rollup to your own cloud
Typical sites
Manufacturing, infrastructure, campuses
Delivery
Custom-built, starting from a narrow first deployment
Related

The rest of the stack

Edge infrastructure is shared — most sites run more than one of these on it.

What do you need to see, and how often?

Tell us the site and the readings that matter. We will scope a first deployment that proves itself quickly.