AI software, delivered as a service

Artificial Intelligence and Cloud Solutions

See

Sensors, imagery and operational data across your assets, wherever they sit.

Predict

The failure shows up weeks before it stops anything.

Decide

The system proposes and shows its working. Somebody still signs it.

Prove

AI you can audit and trace, with the working left where anyone can check it.

What we know how to do

4 large areas of knowledge.

What you get

We don’t hand over a report.
We hand over the application.

We build the whole system — the model, the application people actually use and the platform underneath it — and we keep it running on our own infrastructure, as a subscription, not as a project you then have to maintain.

Software as a service, wherever it has to run

On our infrastructureWe run it, you use it. Nothing to set up and nothing to maintain.
On your cloudThe same system, deployed on the infrastructure you already have.
Inside your own wallsNo route out, for when the data simply cannot leave the building.

How you buy it

It is bought like software.

An engineering firm hands over a project and walks away. Here the system stays our problem for as long as you use it.

A subscription, not a projectYou pay for the system and for the time it is running. No hourly rates and no fixed-price handover.
Updates includedModels get better every few months. The better one reaches your system without renegotiating anything.
Start with oneOne capability in production first. The rest follow once that one has paid for itself.

Where your data lives

The system goes to the data.

Almost every AI platform asks for the opposite: hand your operation over to infrastructure you don’t control, answering to somebody else’s law. Here it works the other way round.

Tied to nobodyContainers, open models and standard formats. Moving house is a decision, not a rewrite.
No route outThe model can run inside your own network, sealed off. Neither the question nor the data leaves it.
And a record of everythingWhich model decided what, on which data, and when. That is what you have to be able to show when somebody asks.

What we build on