Assistants and agents
They answer from your company documents and data, not from a generic internet search.
AI thought it would take our jobs. We hired it.
Lately many people tell us: we want AI. Good. The first distinction to make, though, is where an automation saves you hours every week and where it would be just a demo that goes down well in a meeting and then nobody uses. We work on the first and leave the second alone.
We build artificial intelligence inside real products, integrated into your workflow.
Are you dealing with repetitive, high-volume work that you do by hand today and that takes hours every week, hours you could spend on higher-value activities? That is where automation pays back quickly. Where the volume is low or the process changes every time, it is often not worth it: and if that is the case, we tell you before writing a line.
The right question is how much time, or how many errors, we take off your plate. We always start from that number.
Lots of documents to read, lots of identical requests to sort, scattered data to put in order.
They answer from your company documents and data, not from a generic internet search.
Automation of the tasks someone does by hand today, from sorting to everyday operations.
Contracts, invoices, requests, emails. The AI reads, understands and organises on your behalf, with automatic classification.
They help your team by taking away the boring work, without replacing anyone.
For Vernice Italia we built a neural network that, given an RGB colour, says how to mix it. For the Fondazione Fashion Research Italy, an AI tool that puts historic textile archives back into circulation without selling them short.
Sometimes it is not needed, and we prefer to tell you. A good if statement beats a model costing thousands of euros a month, if the problem is simple. A well-made spreadsheet solves more than an agent, if the data is small.
AI is one tool among others, and we use it when it is the right one.
The same team that understands your process builds the automation and puts it into production.
We start from a small, measurable case: we take one process, automate it and see how many hours it really frees up. If the number is there, we widen it. If it is not, we do not insist on making the numbers work.
And we explain every technical choice, model or if statement alike. No black boxes.
We work with companies that have many documents, many repeated requests or idle data nobody uses: manufacturing, financial services, healthcare, retail. And with those who already have a product and want to add intelligence where it is needed, without redoing everything.
LLMs and OpenAI models for assistants and agents. RAG to answer from your company data, not the world's. Neural networks with Keras and TensorFlow where a custom model is needed, style transfer for images, and Python to hold it all together.
Always inside a real product and integrated into the systems you already have. On sensitive data we design so that it stays within your perimeter: we have built platforms with ISO 27001 compliance, security is not a final add-on.
Is there a repetitive job that takes hours from you every week? Tell us about it. We will see whether it can be automated, and if it does not make sense we will tell you.
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