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Ready-to-use local AI

Local AI for businesses in Barcelona, ready to use

Your own ChatGPT, inside your office. We choose or reuse the hardware, install the models and set up a private chat for the whole team.

We install local AI in your business: a private ChatGPT on your own server, for SMEs, law firms and clinics whose data cannot leave the office. It is up and running in 2 to 3 weeks, on the hardware you already have or on hardware we help you choose. It includes open models, a multi-user chat with individual accounts, an internal API and backups.

Timeline
2 to 3 weeks

Who it is for

  • SMEs of 5 to 50 people that want generative AI without sending data to third parties
  • Law firms, advisory firms and clinics bound by professional secrecy or handling health data
  • Businesses that have already bought a DGX Spark, a Mac Studio or an RTX PC and have it sitting idle
  • Teams paying for lots of per-user licences that would rather have a fixed cost

What is included

  • Hardware purchasing advice or a review of the machine you already have
  • Installation of the operating system, GPU drivers and inference engine (vLLM, Ollama or llama.cpp)
  • One or two open models chosen for your case, plus an embedding model
  • Private ChatGPT-style chat (Open WebUI) with individual accounts
  • LiteLLM gateway with an OpenAI-compatible API to connect other tools
  • EU AI Act transparency notice (Art. 50) and usage logging
  • Backups of the configuration and conversations
  • Launch session with the team

What you get

  • AI server running in your office, tested under real load
  • Architecture and operations document: what is there, where it is and how to restart it
  • Performance report: speed, concurrent users and power consumption
  • Accounts and credentials handed over to the person in charge
  • User guide for the team, in Spanish and Catalan

The problem: you want AI, but your data can’t leave

Anyone running a law firm, a clinic or an engineering firm in Barcelona tends to face the same dilemma. The team wants to use AI to draft, summarise and search, but the documents they handle include personal data, medical records, trade secrets or information protected by professional secrecy. Sending them to a cloud service means signing data processing agreements (GDPR, Art. 28), reviewing international transfers and trusting a third party. And if your business falls under NIS2, or works for one that does, every new supplier is one more risk to justify.

The alternative is on-premise AI: an AI server in your business with open models running on your own hardware. The data never leaves the office, you don’t pay per token and the cost is fixed. What’s more, since 2 August 2026 the EU AI Act (Art. 50) has required you to tell people when they are talking to an AI; we configure that from day one.

How we do it, step by step

  1. Sizing. Based on your use cases and the number of people, we work out which model you need and what hardware can run it. If you already have a DGX Spark, an ASUS Ascent GX10, a Mac Studio or an RTX PC, we start from there.
  2. Installation. Operating system, drivers, inference engine and models, remotely or on site in Barcelona.
  3. Private chat and access. Individual accounts, permissions and the internal API to connect other tools.
  4. Real-load testing. We simulate your team using it at the same time and measure speed, memory and power consumption.
  5. Launch. A short session with the team, documentation and handover to the person in charge.

The technology, without the jargon

  • The engine: vLLM when several people use it at once on NVIDIA GPUs; Ollama or llama.cpp for a single workstation or a Mac.
  • The models: open families such as Qwen, Gemma, GLM, DeepSeek or gpt-oss, chosen for their quality in Spanish and Catalan, their speed and their licence.
  • The interface: Open WebUI, a ChatGPT-like chat with history, folders and individual accounts.
  • The gateway: LiteLLM, which gives the whole business a single OpenAI-compatible address, with keys per person or per application, limits and usage logging. If we switch models tomorrow, your tools won’t even notice.

If you later want the AI to answer from your documents, we add a private RAG search; if you want to transcribe meetings, local voice transcription. All on the same server.

When we DON’T recommend it

If your data isn’t sensitive, use is occasional and you are a small team, a business cloud plan with a data processing agreement and EU-based servers will cost you less than buying hardware. Nor do we recommend it if you always need the most powerful model on the market for very cutting-edge tasks, or if nobody in the business has time to use it: an idle server is money sitting idle. We’ll tell you before you buy anything.

We use it every day

Our local AI lab in Barcelona runs on two clustered NVIDIA DGX Spark units (TP=2) and a server with an RTX GPU, and serves models with up to a million tokens of context. A private gateway like the one we install has served around 11.15 billion tokens in 2026 to several people and dozens of agents, at zero per-token cost. What we install for you is the same setup we use ourselves.

Where it is used most

Law firms and advisors

An assistant that knows your case files and templates, runs inside the firm and never exposes a single piece of client data.

  • Drafts based on your templates
  • Firm-wide search with citations
  • Case file summaries and due diligence
Learn more →

Clinics and healthcare

Less time typing and more time with the patient: transcription and summaries that stay inside the clinic.

  • Consultation transcription
  • Medical record summary
  • Protocol search
Learn more →

Industry and engineering

Your technical know-how, searchable in seconds and without leaving the company network.

  • Technical search with citations
  • Quotes and technical documentation
  • Quality and incidents
Learn more →

Education

Tutors and assistants that teach with your method and your syllabus, without sending student data to the cloud.

  • A tutor that uses your syllabus
  • Preparing materials
  • A model that learns your method
Learn more →

Public sector

AI in Catalan for administrative work, installed inside your security perimeter.

  • Draft reports and resolutions
  • Regulation and case file search
  • Transcription of plenary sessions and meetings
Learn more →

Studios and agencies

Agents that work with your standards and your files, inside the studio and respecting every NDA.

  • A team of agents for web development
  • Search across previous projects
  • Proposals and copy in each brand's voice
Learn more →

Frequently asked questions

Can I use the hardware I already have?

Yes. If you already have a DGX Spark, an ASUS Ascent GX10, a Mac Studio or an RTX PC, we start from there: we check which models it can run and for how many people, and we only recommend buying something else if it is genuinely needed. The hardware remains yours.

Is it as good as ChatGPT?

For a business’s day-to-day work (drafting, summarising, reviewing documents or answering internal questions), today’s open models come very close. Where they still fall short is on the most cutting-edge tasks, which is why we tell you honestly which use cases are better left in the cloud.

What hardware do I need?

It depends on how many people use it at once and on the size of the model. A PC with a 24 GB RTX card is enough for a small team; a DGX Spark or a Mac Studio with plenty of memory, for an SME; and two clustered DGX Spark units, for many users or agents. We work out the numbers before you buy.

Does it work without an internet connection?

Yes. Once installed, the chat and the models run inside your network even if the connection drops. You only need internet access to update models or if you want secure remote access.

Do you come to Barcelona to install it?

Yes, we install on site in Barcelona and the surrounding area. Outside Catalonia we work remotely with someone on your team who connects the machine, and we travel if the project requires it.

Free assessment

We install local AI in your business: a private ChatGPT on your own server, for SMEs, law firms and clinics whose data cannot leave the office. It is up and running in 2 to 3 weeks, on the hardware you already have or on hardware we help you choose. It includes open models, a multi-user chat with individual accounts, an internal API and backups.