Generative AI for business
Generative AI that works with your data and your rules
Documents, reports, content and internal assistants that know your business instead of making it up.
- Answers anchored to your documents
- Your tone, your templates, your rules
- With citations and traceability
Generic generative AI writes well and is confidently wrong. It is fine for drafting an email, not for answering what clause three of your framework contract actually says.
The difference is anchoring it to your documentation: answering only from your sources, citing where it came from, and saying "I do not know" when it does not.
What we offer
Cases that actually work
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01
An assistant over your documentation
Natural-language queries across manuals, contracts, internal policy or project history, with the source cited.
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02
Document generation
Proposals, reports and contracts generated from your templates and your data, ready to review.
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03
Summarising and classifying
Emails, case files and minutes summarised and sorted by your criteria.
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04
Content in your voice
Commercial and product copy that sounds like your company, not like generic AI.
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05
Hallucination control
Answers are limited to what is in the sources, and accuracy is measured before anything goes live.
How we work
The way we do it
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01
Measure first, promise later
Before signing off an assistant, we evaluate it with real questions and known answers.
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02
Your data trains nobody
It is configured so your company information does not feed third-party models.
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03
Model chosen per case
Sometimes a large provider model pays off, sometimes an open one on your infrastructure. It depends on the data and the budget.
How much time goes into finding information you already have?
That is usually the first case worth doing.
Tell us the caseWhat we work with
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Language models
We work with the main providers and with open models. We pick per case, not per contract.
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Digitalisation Agent
Accredited under Kit Digital, with calls currently open: part of the project can be delivered against your voucher.
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Open technology
Python, PostgreSQL, Docker. Nothing proprietary that locks you in.
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Documented code
Everything we build ships with its documentation and its repository. It is yours.
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Noroeste Digital
Our own brand for hosting, domains and professional email.
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On-site work
We work remotely across Spain and come to your premises when the project calls for it.
Frequently asked questions
Does my data end up training third-party models?
Not if it is set up properly. We use modes and agreements that exclude your data from training, and where the data is especially sensitive we work with models hosted on your own infrastructure.
How do you stop it making things up?
By anchoring answers to your sources and requiring citations. And by measuring accuracy against a set of real questions before signing the system off.
How much documentation is needed?
Less than people think. A well-chosen corpus produces better results than dumping the entire hard drive in.
Can it be integrated where we already work?
Yes. The usual approach is to embed it in the tool the team already uses, so nobody has to open one more screen.
Shall we look at it with your processes on the table?
Tell us how you work today and we will tell you what is worth automating and what is not worth touching.