Local AI models

Private AI — on a server at your company

We deploy local AI models for company documents and data: on a server at your company, including without internet access, or in private hosting. This option suits situations where documents and your team's questions need to stay on the company network. We select a model for the task and test it using your examples.

Let’s talk about your business

30–45 minutes online. Get in touch and we’ll arrange a time.

When does local AI make sense for your company?

Private AI is worth considering when you want to use company information and your processing requirements rule out an external AI service. This might involve technical documentation, commercial terms, price lists or know-how.

We start with the task: what the solution should do, who will use it and which data it needs to access. Then we select the model and where it will run.

If processing by an external provider is acceptable, we also compare a business AI cloud service. The choice depends on data requirements, the solution’s usefulness and its total cost of use.

Offline AI, company server or private hosting?

These are three different deployment options. For each, we define where data resides and who can access it.

Option Operation and data
Offline at your company AI and data on a local network without internet access
Company server Local AI with agreed service access
Private hosting AI and data on a provider’s server in the EU

Private hosting can be used for a test before buying your own hardware, if this form of processing is acceptable to you.

What can AI on a company server do?

A local model can support specific tasks for your team:

  • Find information in documents. An employee asks about a procedure or contract terms, and the solution prepares an answer citing source passages. See AI on company data.
  • Extract data from orders. Information from documents goes into a draft for an employee to check. Read more about order automation.
  • Organise correspondence. Using the messages provided, the solution identifies the subject and prepares a proposed response for approval.
  • Help with ERP data. The model understands the question and writes an answer based on data retrieved through the integration. The database or application performs calculations.

We choose one task to start with. We test it using real examples before proposing a wider implementation. Important decisions, technical selection and document approval remain with your team.

How does the offline AI option work?

In this option, the entire flow runs on the company network: from document reading and information retrieval to answer generation. Authentication, data storage and backups also run locally.

We check the solution components’ external connections, block internet access for the AI environment and test operation with the connection disconnected. We deliver model and software updates in a controlled way.

An ERP on the same network can work with local AI. Data from external services, such as cloud email or KSeF, Poland’s National e-Invoicing System, requires a separate transfer into the offline environment. We describe how this exchange works before implementation.

How do we select a local AI model and hardware?

Using a sample of documents and your team’s questions, we compare selected models. We assess answer quality in Polish, speed and the effort needed to check the result. We also verify the licence, model origin and technical requirements.

We then select hardware, taking into account simultaneous users, document length and expected response time. If a new server is needed, you receive a specification for purchase. Your company purchases the hardware.

What do implementation and pricing involve?

During a free conversation, we discuss the task and data requirements. With a clear scope, we prepare a proposal. If the model, hardware or integration needs checking, we suggest a separately priced test or feasibility analysis.

We then prepare the environment and launch the selected task for a small group of users. We check answer quality, speed and each user’s access to the right data. Your team receives instructions and rules for verifying answers.

The price covers a specific scope. We show implementation, hardware or hosting, licence and maintenance costs separately. We compare the full cost with the benefit of the improvement before proposing an expansion.

After launch, we can provide support. Its scope covers the update method, monitoring, backups and handling reported issues. A fully offline solution requires on-site service or help from a technical person at your company. Further development is priced separately.

See business system integration, support after implementation and the stages of working with us.

Frequently asked questions

What is private AI and how does it differ from offline AI?

Private AI is a solution where the model runs on a company server or in agreed private hosting. Documents and queries are processed within that environment. The offline AI option runs on the company network without an internet connection. Implementation covers a selected task, model and hardware selection, user access and the required integrations.

Does data stay at my company with every private AI option?

On a server at your company, document reading, information retrieval and answer generation can take place locally. We check the entire data flow, including integrations, logs and backups. With private hosting, data goes to the agreed provider; we choose the location and access rules. We describe the chosen option before implementation.

Does a local AI model answer as well as a cloud model?

Quality depends on the model, task and documents it works with. We compare selected models using your team's questions. We check answer accuracy, speed and the time needed to verify them. You can then assess whether the solution meets your requirements.

Do I need to buy a new server for AI?

First, we check your existing hardware and the task's requirements. A new server may be needed for larger models or many simultaneous users. We prepare a specification based on tests, and your company purchases the hardware.

Can local AI use ERP data?

Yes, if the system supports the required integration. We check the product, version, licence and interfaces. We define data access and user permissions. Creating documents requires a separately agreed scope, a vendor-supported interface and employee approval.

Can offline AI use cloud email or KSeF?

An environment isolated from the internet cannot retrieve data directly from these services. If that data is needed, we agree a separate method for transferring it into the local environment. A connection to an ERP on the same network can work without internet access. We define which tasks stay offline and how data is exchanged.

How do you service and update fully offline AI?

We deliver updates in a controlled way and carry out repairs on site or with help from a designated person at your company. We provide on-site service in the Szczecin area; elsewhere, we suggest an option with remote service access or price travel separately. Before launch, we agree the support scope, issue reporting method, timeframes and costs. We test the solution with the internet connection disconnected.

How much does implementing private AI cost?

The price depends on the task, model, hardware, number of users and integrations. If feasibility needs checking first, we agree a separately priced test. We set the exact price and scope before work starts.

What task would you like local AI to handle?

Describe the use case and why data needs to stay at your company. We will get in touch to arrange a free conversation.

Let’s talk about your business