When it comes to AI, companies seem to face two bad options. The first is to let employees use outside AI tools freely and not know where company data goes. The second is to ban all AI tools and fall behind the competition.
There is a third way: bring AI inside the company.
On-premise infrastructure: a container data center
You do not need a data center building to run your own AI. A modular, container-type data center can be placed at your facility:
- Infrastructure on your site: A modular unit that arrives with cooling, power and security built in, together with the servers that run the AI models.
- Data stays inside: Your documents, customer information and conversations are processed within the company.
- Basefyio data layer: Company data is kept organized, permissioned and searchable on Basefyio.
For companies that handle customer data, production know-how or trade secrets, this removes the dependence on outside services.
Bringing AI use under control
Setting up AI inside the company is half the job. The other half is stopping uncontrolled data flow from company computers to outside AI services:
- Blocking outside AI tools: Access to unapproved AI services is technically restricted on company devices and the company network.
- One approved assistant: Employees get the AI help they need from the company's own model. Not a ban, a safe alternative.
- Logged use: You can see which department uses AI for what, which helps both security and productivity.
Telling employees "don't use AI" does not work. Telling them "use this one, it's safe" does.
An AI that understands your company
General-purpose AI tools know the world, but they do not know your company. They do not know your procedures, product catalogue, pricing policy, quality standards or past quotes. A local model learns exactly these:
- A model fed with your culture, processes and documents: Work instructions, handbooks, contract templates, technical documents and past correspondence become its knowledge base.
- Fast consolidation with the Fyio platform: With the Basefyio data layer and the Buildfyio application platform, scattered data and internal apps are brought under one roof quickly.
- Closing security gaps: During setup, existing systems are scanned and their security gaps are closed.
As a result, a new employee asks "what is the return procedure for this product?" not to their manager but to the company's own assistant, and gets an answer based on the company's own documents.
Who it is for
- Manufacturers handling trade secrets, formulas, designs or production know-how
- Finance, healthcare and service companies holding sensitive customer data
- Suppliers whose customers require data residency and security commitments
- Any leadership team that wants to bring employees' use of outside AI under control
To clarify your infrastructure needs and budget, start with the AI Readiness Assessment or talk to us directly.