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About Vernius

We start with how the business already runs.

The data it holds and the ways of working it took years to shape are the advantage. Off-the-shelf products ask a business to set both aside and run the product’s way instead. We are here to do the opposite.

Who does the work

The work is led by people who have done the job.

The people who lead engagements built their careers in Big Four consulting, FTSE 100 financial markets, central government and running businesses of their own. They have carried the problems the software is meant to solve, which is where a first conversation starts.

Engineering and AI
We have designed, built and run production systems in live operations, owned the infrastructure beneath them and answered for their security. We have put automation and AI into working businesses rather than advising on it from outside.
Commercial and operations
We have carried a P&L, run procurement and supplier relationships, and answered for what a change costs the people doing the work. We have run businesses, which is a different discipline from advising them.
Real estate and construction
We have run programmes on live sites and under contract, with the trades and the sequencing everything else depends on. In that sector, getting the order wrong is measured in weeks and in money.
Management consulting and FP&A
We have built the business case, held the forecast and defended the numbers to a board. That is the discipline that decides whether to build at all, and stops a project being justified after the fact.
How we work

Designed with the people who will use it.

A system is only useful if the people doing the job every day actually use it. They know where the current process breaks and which exceptions matter, so they help shape it while it is being designed rather than seeing it for the first time at the end. What we build is judged on one thing, which is whether the work got easier.

Direct access

Clients work with the people making the decisions and writing the code. Context does not disappear through layers of hand-off.

Decisions in the open

Trade-offs, risks and the things we chose not to build stay visible as we go. No progress report that only ever says green.

Plain advice

If a process change or a tool already in place is the better answer, we say so. Software is worth building only when it improves the work.

Where we stop

What we turn down.

Software for its own sake

If the answer is a process change or a tool already in place, that is the recommendation. Better to lose the build than sell one that did not need to exist.

Bodies for hire

We take responsibility for an outcome rather than filling seats on somebody else’s plan. That is a different service and there are firms that do it well.

Rebuilds nobody asked for

A system that works is left alone. Work starts where the business is losing time or money, not at the oldest thing in the stack.

Isaac Newton
Science's foundations

Isaac Newton

1643–1727

Defined motion, gravity and light — the rules the modern world runs on.

His laws of motion and universal gravitation, his optics and his calculus became the bedrock of physics and engineering. Every scientist and builder since has spoken the language he wrote.

James Watt
Steam power

James Watt

1736–1819

Perfected the steam engine and set the Industrial Revolution in motion.

His improved steam engine powered the factories, mines and railways that made Britain the workshop of the world — and gave his name to the unit of power itself.

Michael Faraday
Electricity

Michael Faraday

1791–1867

Turned electricity from a parlour curiosity into the force that powers the planet.

His discovery of electromagnetic induction gave the world the electric motor, the generator and the transformer — the invisible machinery behind every lit room and every running factory.

Charles Babbage
The first computer

Charles Babbage

1791–1871

Designed a programmable computer a century before the technology to build it existed.

His Analytical Engine laid out the architecture of the modern computer — a machine that stores, decides and computes — imagined in Victorian brass and iron.

Isambard Kingdom Brunel
Engineering ambition

Isambard Kingdom Brunel

1806–1859

Built the railways, bridges and ships that shrank the world.

The Great Western Railway, the SS Great Britain, the Clifton Suspension Bridge — engineering at a scale nobody else dared, and a template for building boldly that Britain still lives on.

Ada Lovelace
The first programmer

Ada Lovelace

1815–1852

Saw that a machine could do more than arithmetic — it could create.

Working on Babbage's engine she wrote the first algorithm meant for a machine, and foresaw that computers might one day compose music and art. The world's first programmer.

Tommy Flowers
The first electronic computer

Tommy Flowers

1905–1998

Built Colossus — the world's first programmable electronic computer.

At Bletchley Park he engineered Colossus to break Germany's highest ciphers, proving electronics could compute at scale and quietly opening the computer age.

Frank Whittle
The jet engine

Frank Whittle

1907–1996

Invented the jet engine and opened the modern age of flight.

Against official indifference he designed and built the first turbojet — the technology behind every airliner that now crosses the planet in hours.

Alan Turing
Computer science & AI

Alan Turing

1912–1954

Imagined the universal machine — then asked whether it could think.

He founded computer science, broke the Enigma cipher and helped end a war years sooner, and framed the question of machine intelligence that our whole industry now works to answer.

Karen Spärck Jones
Language & search

Karen Spärck Jones

1935–2007

Taught computers to weigh words — the idea behind every search engine.

Her work on how machines rank and retrieve language underpins search and natural-language processing. “Computing is too important to be left to men,” she said.

Clive Sinclair
Home computing

Clive Sinclair

1940–2021

Put a computer in ordinary British homes and sparked a generation of coders.

The ZX Spectrum brought affordable computing to millions of kitchen tables and launched the careers of a whole generation of British programmers and game-makers.

Geoffrey Hinton
Deep learning

Geoffrey Hinton

b. 1947

The “godfather of AI” whose neural networks made modern machine learning work.

Born in London, his decades of work on neural networks and backpropagation made deep learning practical — the foundation of the AI systems reshaping every industry today.

Tim Berners-Lee
The World Wide Web

Tim Berners-Lee

b. 1955

Invented the web — and gave it to everyone, for free.

At CERN he wrote the first browser, server and page, then released the World Wide Web into the public domain. No patent, no fee — a single decision that reshaped how humanity shares what it knows.

Sophie Wilson
The ARM chip

Sophie Wilson

b. 1957

Designed the instruction set now running in nearly every phone on Earth.

She wrote the BBC Micro's BASIC and co-designed the ARM architecture — the low-power processor design now at the heart of billions of phones, tablets and devices.

Demis Hassabis
Artificial intelligence

Demis Hassabis

b. 1976

Founded DeepMind and pointed AI at some of science's hardest problems.

His DeepMind built AlphaGo and AlphaFold — cracking problems from the game of Go to the structure of proteins — aiming AI at discovery itself. A Nobel laureate.

Before you ask.

The people you meet. Engagements are led by senior people throughout, and the hands that scope the work are the hands that build it. Nothing important gets lost being passed to a team you were never introduced to.

Then we’ll say so. We’d rather tell you in week one than bill you for a year. Sometimes the fix is a process change, or a tool you already pay for.

Not at all. You run the business. Our job is to translate: to sit with how you operate and turn it into software, without making you learn ours.

Yes. We integrate with what’s working, replace what isn’t, and connect the gaps between. CRM, accounts, inbox, whatever you’re running. You keep the tools that earn their place.

Start with the problem

Tell us what’s getting in the way.

Describe the slow, repetitive or unclear part of the business. We’ll tell you whether technology helps and what a sensible first move looks like.

Send an enquiry