The answer to your hardest challenge is already in your systems.
We've done it inside a tradeshow portfolio, a publishing company, a sewage network and a car rental fleet. Different industries, same problem underneath.
Who we are
We started as people who could not leave a number alone.
Bogdan, our founder, spent years working as a photojournalist before any of this. That job teaches you one thing early: never trust a caption until you have stood where the photograph was taken and checked it against what actually happened. A press release says eleven thousand people came. The photograph either backs that up or it does not.
The habit never left. Now the caption is a number instead of a headline, and the photograph is four systems that do not agree with each other. Somebody announces eleven thousand attendees, and the question underneath it is who counted, out of which system, and what happened to the four hundred who registered twice. Most organisations have nobody whose job it is to ask. We made a company out of asking.
Because a number is not evidence unless it has context. It is a figure people have agreed to repeat.
How we think
Every job starts the same way. We find the thing you are required to get right.
Not the thing that would be useful to know. The one where somebody's name is on it and being wrong has a consequence in public. That is usually one question, occasionally three. It is rarely the first thing anyone mentions.
Because once that question is settled, most of the argument about tools disappears on its own.
How we work
We build inside your systems, and we stay while it runs.
That means our engineers are on your real data in the first week, with all the mess still in it. It means the first thing you see is a working answer rather than a slide describing one. And it means we find out what is broken at the same moment you do, which is the only arrangement under which anybody tells the truth about a deadline.
Five of our own businesses are built this way. So the failures land on us first.
What the software does
One engine. Three industries.
It works out when two records are about the same thing. A customer written four ways across four systems is still one customer. Until something says so, you are counting them four times, and every total built on top of that is wrong.
The engine decides, writes down why it decided, and lets you argue with it.
Then it keeps track of what that thing is connected to. The permit it sits under. The contract it belongs to. The law being argued about it. Because knowing two records are the same is worth nothing on its own. What matters is what it lets you see next.
AI and your data
How we handle AI and your data.
We take this seriously. Here is exactly what we do and why.
Data privacy
No training on your data. Groq does not permanently retain your prompts or outputs, and does not use them to train models.
Groq: Your Data in GroqCloud, console.groq.com/docs/your-data.
Regional hosting
Hosted in Germany, on Hetzner infrastructure.
Visual Hive's own infrastructure documentation.
Environmental impact
Groq's chips use roughly ten times less energy per request than typical GPU-based AI infrastructure.
Groq's own published figure, not independently audited: groq.com/blog/the-groq-lpu-explained.
Provider choices
We use Groq for AI processing. We chose it for speed, energy efficiency and straightforward data handling.
Current platform configuration.
Our selection criteria
We pick AI providers based on energy efficiency per token, data privacy policies, ownership diversity, and transparent sustainability programs. If a better option appears on any of these criteria, we will switch.
The people
Chief executive
Founded Visual Hive. Former photojournalist, which is a longer route into data than most.
Richard Osborne
Chief technology officer
Build lead for the engine and the infrastructure under all five businesses.
Petrica Tanase
Chief operating officer
Runs contracts, legal and data protection, which in this business is not an administrative job.
What we give away
EventHive. Twenty-four tools for people who run events, MIT licence, no account. Most of it never leaves the browser.
The AI coding documentation, published openly through the Low Code Foundation, because the method was never the moat.
Water Sewage UK. Parliamentary, regulatory and water company records in one place, so what is said in public can be set against what the company itself filed. It earns nothing and it is not going to.