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About Continuis Labs

We're giving the physical world a nervous system — and hands.

Most of the infrastructure we depend on — water, power, bridges, food, buildings — is still looked after by people walking between machines, reading gauges and writing in logbooks. We think it should look after itself a little, and tell people when it needs them.

The Vigil mark

The future of robotics in industry isn't one machine that can do anything. It's thousands of small ones, each doing one thing in one place, sharing one memory — and a person deciding what they do.

A facility's work is spread out. The pump that matters is in one hall; the valve that saves it is three hundred metres away; the engineer who knows its quirks is on another site today. No single robot, however capable, can be everywhere that work happens. Distributed intelligence can.

So we build three things that work as one: Vigil, the platform that senses, remembers, foresees and acts for a whole site; the Vigil Node, a small wireless node that measures and moves the equipment it's fitted to; and Perch, which surveys structures in 3D and places nodes with drones where people shouldn't have to climb.

The result is safer work, less downtime, problems caught while they're still small — and a site that remembers what every person who worked on it learned.

We call it Making Sense. We make the sensors. We make sense of what they measure. And we make that sense plain enough for anyone on a site to act on — the operator on a night shift as much as the engineer at a desk.

What we believe

Principles we build to.

A person decides

Our platform can move equipment. It never does so without someone's say-so, and it always records who said so.

Physics first

Every reading knows its quantity and unit; every forecast is grounded in what physically drives it.

Remember everything

Knowledge about a site belongs to the site, not to whoever happens to be on shift.

Open at the edges

Bring your sensors, connect your software, build your own probes. Lock-in is not a strategy.

Honest numbers

We test our detection against labelled faults and say what it misses, not just what it finds. Demo data is labelled as demo data.

Safety is the point

Every node on a structure is a climb, a closure or a night call-out someone didn't have to make.

The journey so far

Platform first. Now the hands.

We built the mind before the body: a platform that learns, remembers, forecasts and acts, proven on full-scale demonstration sites. Now the hardware that lets it reach out and touch the world has arrived.

2026

The Vigil platform

Learned normal bands, memory, reports, briefings and the phone app — running across a demonstration estate of over a hundred simulated sites.

September 2026

Argus becomes an agent

The AI assistant learns to plan, draw charts from the data, and act — asking before it changes anything.

September 2026

Forecasting, Atlas and Perch

Forecasts with calibrated chances for every channel; a living map of every asset; drone surveys and placement on full-scale structures.

September 2026

The first Vigil Node boards

Rev A boards arrive from manufacture. Bring-up begins.

Next

Pilots with design partners

Nodes on real equipment at our first partner sites — sensing first, then actuation.

Leadership

Founded by Tom Wade.

Continuis Labs was founded by Tom Wade, its CEO, to make the places we all depend on safer to work in and harder to break. We're building a small team of engineers who like hardware, software and the physical world in equal measure.

Design partners

Operators of water, energy, structures and plants who want to shape the first deployments.

Hardware partners

Makers of probes, actuators and enclosures, through the Forge programme.

Robotics partners

Teams building mobile robots that want a site's context and memory.

People

Engineers who want to build the future of distributed robotics with us.

Making Sense · pilots open

Let's make sense of your site.

Tell us about a site — a plant, a dam, a campus, a cold store. We'll show you the platform on demo data like yours and plan a pilot with nodes on your equipment.