AI & LLM solutions
Private LLM and Self-Hosted AI Options
Open-source language models deployed on your server or private cloud, for businesses that want more control over where their data is processed. How private it really is depends on the setup (integrations, backups, monitoring and any external services), which we document with you.
Prototyped in-house We have prototyped this in our own product concepts and can tailor it for you.
In simple words
A private LLM (the kind of AI that understands and writes text) runs on your own server or private cloud instead of an outside AI service. Processing happens on infrastructure you control, so your data is not sent to an outside AI provider; any integrations, backups or monitoring services are agreed with you in writing. It is meant for businesses that handle sensitive information or cannot share data outside.
This is right for you if…
- Your data is confidential, such as health, financial or legal records
- Your clients or rules do not allow you to send data to outside AI services
- You want AI features but worry about who can see your information
What you get
What this means for your business
Use AI on sensitive data without sending it outside your company
Benefit 1Keep full control over where your information is stored
Benefit 2Run AI features even on a closed or offline network
Benefit 3Avoid paying per message to an outside service when you use AI heavily
Benefit 4
How it works
Simple steps, from first call to results
- 1
We understand your need
We talk about what the AI should do, what data it will use, and your privacy rules.
- 2
We choose the right AI model
We pick an open-source AI model (one that is free to run on your own computers) that fits your task and your server.
- 3
We install and test it
We set it up on your server or private cloud, connect it to your apps, and test the answers on your real tasks.
- 4
We hand over and support
Your team starts using it, and we monitor it, update it and help when you need changes.
Example: a diagnostic lab
For example, a diagnostic lab wants AI to write simple summaries of test reports for patients. Because the reports are private, the AI runs on the lab's own server. A doctor checks each summary before it is shared with the patient.
An illustration of how this works, not a specific client.
What we need from you to start
- A clear idea of the task the AI should help with
- Your privacy or compliance rules, if you have them written down
- Access to a server or private cloud, or we advise what to arrange
- A few sample documents or questions to test with
Don't have everything? That's fine, we'll help you prepare it.
Interested in Private & Self-Hosted LLMs?
Tell us your requirement in 2 minutes
A few simple questions. We reply within one business day.
Use cases
Where it helps
- AI features for sensitive or regulated data
- Lower running cost at high volume
- Offline or restricted-network environments
- Custom domain-specific assistants
Capabilities
What we deliver
- Open-source model selection and quantisation
- CPU or GPU deployment
- API wrapper for your apps
- Prompting and evaluation for your use case
- Monitoring and updates
Models and providers are chosen per project based on use case, data sensitivity, quality and cost.
FAQ
Common questions
Is my data really safe?
The AI runs on a server you control, so your data is not sent to an outside AI company. We also set up access so only the right people can use it.
Is a private AI as good as the big online ones?
For many focused business tasks it works well, but it may not match the largest online services on every task. We test it on your real work first so you can judge for yourself.
Do I need expensive hardware?
Not always. Some models run on normal servers, others need a graphics card (special hardware for heavy AI work). We suggest what fits your task and budget.
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Tell us what you need to build
Share your idea or problem. We'll reply with clear next steps, a suggested approach and an estimate.