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AI & Automation
AI on your data, running on your servers. What took hours takes seconds. Without a clear return, we don't propose it.
AI is worth it when it solves a concrete problem: a process that eats hours, a question nobody answers quickly, content that cannot be produced at scale. We start small, measure with real examples and only grow when the numbers justify it.
What it covers
The services in this area.
This area is one service with three fronts. AI on your servers, RAG and models handle knowledge: answering from your documents, with the source in sight. Agents, workflows and tools handle work: what eats hours runs by itself, with a person deciding. Generative AI for image and video handles content, on GPU servers.
Not everyone starts in the same place: for some it is an assistant that answers about their documents, for others a flow that triages requests. The principle is the same: one small case first.
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AI, Data and Automation
AI working on your data, on your servers.
How we think
The ideas that guide the work.
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The problem first, then the model
We start from a task that eats hours and from the data that already exists, not from a technology looking for a use. The model comes after, and we pick the one that serves the task. It starts in AI, RAG and models.
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Your data stays with you
Open-source models run on your servers or ours, without sending data to third-party services. With RAG, the answer cites its source and respects each person’s permissions. It is part of AI on your servers.
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One small case, measured on real examples
A pilot on real examples says more than a demo. We only grow when the numbers justify it. That is how we build agents, workflows and tools.
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A person still decides
Agents hand over to a person when a decision is needed, and in image and video the human review stays in the process. We state each model’s licence, so you know what you can use commercially: generative AI.
It makes sense if you want…
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to use AI with your data without sending it to third-party services.
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to find answers in your documents in seconds, with the source in sight.
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to take repetitive work out of the team’s day, with a person deciding what matters.
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to produce image and video at scale, with a flow of your own and human review.
Work
Work that fits here.
Two projects where AI went into the product itself. On musica.com.pt, in Redação, AI and automation structure without writing and take a press release to a draft in WordPress. At AllRisk, the AI layer works on PDF documents (RAG and content extraction) and on activities (CAE).
FAQ
Questions, answered.
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When the problem is small, rare, or already well solved by a rule or a spreadsheet; when data is missing; or when nobody will use the result. We tell you before we build. Without a clear return, we do not propose it.
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RAG answers from your documents and shows the source. Agents and workflows carry out tasks, connected to your systems, and hand over to a person when a decision is needed. Generative AI produces image and video, in a style of your own. They can be used separately or together.
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Through the same studio: the product backend is built ready for AI (development), we supply and manage the GPU servers (cloud) and the creatives made with AI go into campaigns (marketing), always with human review.
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We agree beforehand on what to measure: answer quality, response time, how many cases escalate to a person and time saved. We evaluate on real examples, not impressions. We do not promise savings: they depend on the data, the model and the task.
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Yes, further down, under Work: musica.com.pt and AllRisk each have their own page, with the screens, the brief and what we did, including the AI part.
Keep exploring