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We install your private AI on-premise — no cloud dependency, GDPR-compliant, operational in 2 weeks.
EU AI Act · Art. 4 · In force since February 2025
Every organisation that uses AI systems must support its staff competence to operate them safely (Article 4, an obligation of means). The obligation is enforceable by the authorities from August 2026: act now and turn it into a competitive advantage.
The Risk
Every time you use ChatGPT, Copilot or Gemini for business tasks, your most sensitive data leaves the company — and feeds models you don't control.
Your prompts, documents and conversations are used to improve third-party models. Grok, ChatGPT and others admit this in their terms of service.
6M records exfiltrated, admin access compromised in minutes, authentication tokens stolen — in 2025 all major cloud providers suffered serious incidents.
Big AI labs need internal business knowledge to train the next generation of AI. By uploading internal data, you're funding that leap.
AI in 2026
Intelligent chat, autonomous agents and connected knowledge — all on your servers, under your control.
CHAT
AGENTS
RAG / DB
kAIra Tools
Every tool solves a real problem — and all run on your server, no cloud.
AI-powered wikis, semantic search and an interactive graph connecting your documents.
Automatically detects and redacts personal data. GDPR compliant without effort.
Upload CVs and a job profile — get scores, strengths and risks per candidate.
Paste text or upload a document and download a ready PPTX with your corporate branding.
The Suite
Not just a chat — kAIra Tools includes modules for every department, ready to use from day one.
The Choice
Choosing correctly matters, especially in regulated industries where data privacy is a red line.
| Feature | Cloud (ChatGPT, Copilot…) | Local (Freshlab Iberia) |
|---|---|---|
| Data privacy | Data processed on third-party servers | Data never leaves your premises |
| Operating costs | Growing monthly subscriptions | Only electricity — no recurring fees |
| Internet connection | Always required | Not required (air-gap capable) |
| EU AI Act compliance | Limited transparency, elevated risk | Full control, simplified auditing |
| Customisation | Limited to what the provider offers | Tailor-made models and tools |
| Internal knowledge | Risk when uploading sensitive documents | Secure — RAG module 100% local |
EU AI Act · Art. 4 · In force since February 2025
Every organisation that uses AI systems must support its staff competence to operate them safely (Article 4, an obligation of means). The obligation is enforceable by the authorities from August 2026: act now and turn it into a competitive advantage.
Two ways to start
Choose the model that best fits your innovation pace.
Worry-Free Package monthly
No lock-in: keep the system as long as you need it. On return, your data is securely deleted on-site.
Request Pilot DealDirect purchase
from¿Su empresa está en Madrid? Estas inversiones pueden apoyarse en tres programas de ayudas públicas compatibles entre sí: Kit Digital, Kit Consulting y el Cheque Innovación Madrid. Cada programa cubre conceptos distintos — le ayudamos a evaluar qué combinación encaja con su caso.
Implementation
From zero to AI in production — without disrupting daily operations.
Hardware setup, LLM installation, AI chat deployment and tools. Your team is already chatting locally.
We identify internal champions, define roles and select the highest-impact use cases.
IT training + Key-User training with certificate. The team masters the system from day one.
Your team creates agents, connects databases and expands usage autonomously. Freshlab available for support.
Frequently asked questions
Clear answers before you make the move to your own AI.
It is artificial intelligence that runs on your own server, inside your company, without sending data to the cloud or to third parties. Your documents and queries never leave your infrastructure, which gives you full control over your information and makes GDPR compliance easier.
With ChatGPT and similar services, your data travels to external servers, often outside the European Union. With an on-premise solution, open-source models run locally: you decide who has access, you do not depend on per-use fees, and your confidential information never leaves the company.
Because the data is processed entirely on your premises, you avoid transfers to third parties and to countries outside the EU, one of the most sensitive points of the GDPR. You keep traceability and control over the processing. We help you integrate it into your data protection measures.
Yes. Since 2 February 2025, every organisation that uses AI systems must ensure a sufficient level of competence among its staff to operate them (a duty of means, not of result). Authorities can enforce compliance from 2 August 2026. Art. 4 has no specific penalty attached, but it is part of the obligations of the regulation. We offer certified training for your team.
It is especially useful for organisations that handle sensitive or confidential data: clinics and pharmaceutical companies, professional firms, industry, and any SME that wants to use AI without exposing its information. We adapt it to your use cases and your workload.
There are two routes. A monthly package with no minimum term from 2,500 € per month, with hardware on loan, tools and support included. Or a direct purchase of the infrastructure from 18,000 € as a one-off payment, with maintenance contracted separately. In the Madrid region it can be combined with public grants such as Kit Digital, Kit Consulting and the Cheque Innovación.
The system is up and running in about 10 days: installation of hardware and models in the first days, definition of the team and the highest-impact use cases, certified staff training and production launch. All without interrupting daily work.
The platform is hardware-independent. The open-source models run on any infrastructure: from a Mac Studio for a pilot team to servers with NVIDIA GPUs or several nodes for hundreds of concurrent users. To start quickly in a pilot or small team we recommend the Mac Studio for its price-performance ratio and immediate installation. As the number of users or the workload grows, we scale the hardware up without changing the way you work. It is a question of budget, not a limit of the platform.
Let's talk about your use case, timeline and budget. No commitment.