FAQ
No silly questions. Just clear answers.
About Vitinn
Is it safe to use sensitive company data with Claude or ChatGPT?Security & privacy
It depends on where and how the models run. With public subscriptions, the data goes to a service you don’t control, and the terms decide what happens to it.
In Vitinn, the models run in your own cloud environment in Europe. The data is encrypted, you hold the encryption keys, and what people put in is not used to train models.
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What is APRÓ Vitinn?AI at work
A secure AI workspace that runs in your own cloud (AWS or Azure) in Europe and is built on your own data and ways of working, not just general information.
Your people get a chat interface connected to your internal systems. You choose the models and own the data and the solution, and we help you roll it out.
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How is APRÓ Vitinn different from ChatGPT?AI at work
The main difference is security. Data that goes into Vitinn, or is created there, is accessible only to you, with your own encryption keys, and you can be certain it’s stored in the EU.
On top of that, Vitinn runs in your environment, uses your sign-on and connects to your data. The price is fixed per month, not per user.
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How is Vitinn different from Microsoft Copilot?AI at work
They don’t rule each other out. When Vitinn runs in Azure, it is built on Microsoft Foundry and runs in the same Microsoft environment, so many companies use both.
Copilot is built into Microsoft 365 and is at its best when the work happens in Word, Outlook, Teams and Excel. It is paid for as a licence per user.
Vitinn runs in your own environment. It suits you when:
- you want to choose from more models, Gemini or others for example, and use whichever suits each task best
- many people need access, contractors too - there is no licence fee per user, you pay for usage
- the data sits in systems outside Microsoft 365
- personal data should be filtered before it reaches the model
- you want to see what each project costs and what it delivers
Copilot for the work inside Office. Vitinn for everything else.
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How does Microsoft Foundry compare with Vitinn?AI at work
Copilot is ready-made in Office. Foundry is a workshop. Vitinn in Azure is a foundation built in Foundry, ready to use.
Copilot is a no-code solution. It works in Word, Outlook, Teams and Excel, and in Copilot Studio you can put together simple agents without code. Microsoft Foundry is the environment where developers build AI solutions in code - models, integrations, access control and monitoring, all built and maintained by a development team.
Vitinn brings the two together. In Azure it is built in Foundry, but the foundation is ready: an interface for staff, access control, filtering of personal data and an overview of cost. You start with the projects, not the foundation - and when something custom is needed on top, it is built in Foundry like any other Foundry project.
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What does Vitinn cost?AI at work
A fixed monthly price based on scope, with no per-user subscription.
The basic setup is included; model usage and custom builds are paid separately. Model usage is paid directly to AWS or Azure on your own account. You see it and control it in Vitinn.
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Who pays for using the models?AI at work
Model usage is paid directly to AWS or Azure on your own account. You see it and control it in Vitinn.
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How long does it take to set up Vitinn?AI at work
It depends on the scope and the integrations. We go through it in the first conversation.
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What happens if we stop?AI at work
No vendor lock-in: the environment and the data are yours and stay in your cloud environment.
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Which AI models can we use?Tools & APIs
At setup you choose which models are available, whether Claude, ChatGPT, Gemini or others. You can add or switch models as the technology moves on, without starting over.
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Can we control usage and cost?Security & privacy
Yes. Usage, cost and access to models are managed centrally, for example with a budget and rules you set.
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Who has access to the system, and can that be changed?Security & privacy
We use your access control. Most often that’s Microsoft Entra single sign-on (SSO), but Google SSO works too.
Behind the scenes, only authorised users can reach the data and systems they’re allowed to, and flexible permission management allows fine-grained settings. You can change access at any time.
Integrations with internal systems
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How is my data protected? Will it be used to train other models?Security & privacy
All data is encrypted, in transit and at rest, and you have full control of the encryption keys. Data is never shared and never used to train the underlying models.
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Does the service follow common security standards?Security & privacy
Yes. The setup is aligned with international security standards such as ISO, SOC and CSA, and meets the requirements of HIPAA and European data protection law (GDPR).
APRÓ, together with AWS and Azure, provides detailed support to help you meet compliance requirements for your own operating environment.
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We have little experience with AI. Where do we start?AI at work
We offer both advice and support for rolling out Vitinn. You can also get a tailored interface that suits your workplace, with the relevant data made available through it.
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About AI
What is an agent?AI at work
An agent is AI that does a task rather than just answering questions: it fetches data from systems, follows steps and delivers a result, within the permissions it has been given.
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Is using AI at work cutting corners?AI at work
At APRÓ we see it the other way round. AI is one of the most remarkable tools of recent decades, making both simple and complex work faster and easier. But it’s first and foremost a tool that strengthens the skills and judgement your people already have.
That’s why a clear policy and guidelines matter. Secure access to AI prevents shadow AI, data leaks and other operational security risks.
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Can AI create images and audio?Image & audio
Yes, but usually with different kinds of models from the ones that write text. Image models create pictures from a description, and speech models turn speech into text (speech recognition) or text into speech (speech synthesis).
Language models such as Claude work mainly with text. They can read and describe images, charts and documents, but don’t create images themselves.
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Does AI understand spoken Icelandic?Image & audio
Speech recognition and synthesis for Icelandic have improved a lot in recent years, helped by the government’s language technology programme. Quality depends on the model and the audio: clear speech in a quiet room works far better than a recording of a noisy meeting. It pays to test on your own material before settling on a tool.
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What is an API, and why does it matter for AI?Tools & APIs
An API is a way for systems to talk to each other. AI that can reach your systems through an API can fetch information and do work, such as looking something up in the books or creating a ticket, instead of answering from general knowledge alone.
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What is MCP?Tools & APIs
MCP (Model Context Protocol) is an open standard for connecting AI to systems and data. Each connection describes the tools it offers, and the AI picks and uses the right ones based on what you ask. Because the standard is open, the connections come with you if you later switch model or interface.
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Can AI help with programming?Tools & APIs
Yes. Language models are good at explaining code and error messages, drafting functions and tests, and documenting what exists. The developer stays responsible for the code: they review it, test it and decide what ships.
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Questions we’re working on
- How do I run a local model without sending data to the cloud?
- Which tool works best for Icelandic speech recognition today?