When local AI makes sense
- You handle sensitive data: contracts, personal data, financial or medical information
- Internal or contractual rules limit sending data to third parties
- You want full control over costs and infrastructure
- You need to work in an isolated network
What we do
- Hardware sizing and setup
- Choosing and configuring the right models for your use case
- Assistants over your documents: an internal chat that answers from manuals, procedures, contracts and your knowledge base, with cited sources
- Access rights respected, so each user only sees what they are allowed to
- Document processing and OCR, directly in your systems
What you should know
Local AI means an investment in hardware or private infrastructure, and the largest cloud models can be more capable on some tasks. That is why we compare the options and tell you when an AI service with confidentiality terms is enough.
If the data is not critical, a cloud solution can be simpler and cheaper. If it is, local AI is the right choice.
Connection to AI agents
Locally run models can also power AI agents that work with your company’s systems, without data leaving your infrastructure.
Frequently asked questions
Language models running on your own servers or in your private cloud, not at an external provider. Sensitive data stays in the company.
It depends on the chosen model and the number of users. Hardware sizing is part of the project and appears in the proposal.
Not always. It gives you control over data, but it needs infrastructure, and some large cloud models are more capable. We compare the options for your case.
See also
Let’s discuss local AI
Tell us which data must be protected and what you want to automate. We reply within one working day.