Artificial intelligence
AI trained on your company’s data
We specialise an open model on your company's examples so that it recognises internal codes and abbreviations and understands requests the way an experienced colleague would.
The situation
You've tried the best-known chatbots: they don't recognise your job numbers, they mix up industry terms and their answers are vague. Every time you have to explain everything from scratch and the answer is still generic.
How we do it
Together we select and clean up real examples of documents, requests and answers and use them to train an open model on GPU servers rented for the project. Before it goes into use, the model is tested on concrete cases chosen by you.
What you get
When a generic AI doesn't understand your internal codes and abbreviations
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01
Speaks your jargon
Product codes, internal abbreviations and company forms become part of what the model knows.
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02
Small and focused
A model concentrated on a few tasks can be lighter and cheaper to run.
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03
Runs where you decide
The trained model can run on a dedicated rented server or on your premises.
Before training a model we look at the problem: if it's a matter of finding information in documents, an assistant connected to your archive is often enough. It costs less and keeps up with the documents as they change. That's the first thing we assess together.
When training does make sense, the most important work is on the data: choosing good examples, removing wrong ones, covering the cases that really matter. The result is a tool that uses your company's words and is measured against your real cases.
Who it's for
Industrial, chemical, pharmaceutical and manufacturing companies with their own technical language and plenty of historical data.
What we work with
Artificial intelligence
More in this area.
An analysis of your processes that shows where AI pays off and where it doesn't, what it costs and where your data should live.
02 AI agents and process automationAI agents that read emails and PDFs, enter the data into your management software and ask a person to confirm before any important action.
03 Confidential AI for sensitive dataOpen models on a GPU server that is yours alone: rented in a European data centre or installed on your premises and managed by us.
Frequently asked questions
Before you ask.
What's the difference between training a model and connecting it to documents?
Connecting a model to documents lets it consult them when it answers; training it teaches it a language, a format or a way of reasoning permanently. To find information a connection is usually enough; to make the model speak like your company, you need training.
How much data do you need to train a model?
The quality of the examples counts for more than the quantity. The amount needed depends on the task: we estimate it once we've seen your data.
Does the trained model stay confidential?
Yes. Training takes place on GPU servers dedicated to the project and the model can then run on a confidential server, rented in Europe or on your premises. We decide with you where it is kept and who can use it.
Which job would you like to take off your team's hands?
Tell us about a task that takes hours today, which documents or programs it involves and how confidential the data is. After the analysis we put the tool, model and server in writing, with costs and timings.
Or email us at [email protected]
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