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Private AI across group companies: shared service or separate environments

Short answer

Several companies can use one server with a local model if each manages its own users and materials with no access to the others' data. Before connecting them, decide which decisions are shared and which each company makes alone. At Syntalith an app on a local model costs from €3,000 net plus GPU hardware. At 600 questions to documents a month of 10 minutes each, it pays back in 1.2 months.

How we workDetails ↓

  1. 01Call30 minutes with an engineer, free
  2. 02PrototypeA working system on your process and data, free
  3. 03ImplementationTarget and fixed price in the contract; 50% at signing
  4. 04Acceptance50% once the agreed target is met
model on your server or in the cloud in the EU
quoted after the review
same work in application with EU cloud model
from €3,000
task, data and equipment analysis
€0

We belong to the OpenAI and Anthropic partner programmes and learn through their official courses. What this means ↓

Author: Syntalith · 3 min read

Example: the morning request inbox
Agent · ready

Statistics

Local AI in groups of companies: statistics 2026

1.2 mo.

payback of a €3,000 local app at 600 questions to documents a month: €3,490 of work today, €1,087 with checking and the GPU server. Scenario.

Figures checked: 22 October 2026

Company A's administrator and company B's documents

Company A wants to give its team a new collection of instructions, while company B keeps its own set. A's administrator should be able to do this with no access to B's documents, and the administrator of the shared infrastructure needs a scope of technical support that involves no reading of either company's content.

This distinction affects the choice of app. Open WebUI describes groups for managing permissions and access to resources, and the permissions from several groups add up. So the assessment has to look at the real access of a person who holds several roles, because a group name alone does not say what its administrator can do.

A trial on the companies' administrator accounts
  • Sharing your own material with the team
  • Changing the audience and withdrawing material
  • Checking the access of a person in two groups
  • Who sees the support records and backups of several companies

What it costs and when it pays back

Scenario: 600 questions to documents a month
Today
600 questions to documents × 10 min = 100.0 h (€3,490)
With the app, an employee checks the output in 25% of the time
€873
Hetzner GEX45 GPU server
€214
Saving
€2,403 a month

Payback of €3,000

1.2 months

The volume, the time and the checking share are the scenario's assumptions, which we measure in the trial. €34.90 an hour is the EU average hourly labour cost for 2025 according to Eurostat. Price of the GEX45 server with 24 GB of GPU memory from Hetzner's page on 22 October 2026, without the one-off €209 fee.

The count covers the time spent searching, reading and compiling material. What remains is the time to check the result against the source, 25% of today's work in the scenario. We measure both times in a trial on 20 to 100 cases the team has already handled.

The limits of administration and upkeep

The company agrees the owners of the data and of decisions on changes in each subsidiary. The contractor describes the limits of support, including service access to materials. The trial results show which elements can be shared and how to split the cost of upkeep between the companies.

What to agree with IT beyond the model itself
  • Where the app takes documents from and where it saves results
  • What stays in logs, backups and the history of questions
  • Who has access to questions, answers and outputs
  • Who updates the model, the app and the document set

A shared installation or separate environments

The companies may need different update dates or different features, and a change that helps one need not be urgent for the others. A shared app needs agreement on how such decisions are made. Separate environments can use the same model server, but computing power and the priority of tasks have to be agreed. If each company already has an approved tool, a joint order may cover a shared standard for assessment and support, without replacing any app.

Shared app, separate environments or a standard
  • Similar needs, clear permission groups

    a shared app with groups

    from €3,000

  • Different change dates and administrators

    separate environments on a shared server

    from €3,000

  • The companies have approved tools

    a shared assessment standard and support

    priced after a call

Where to start

The first scope covers two teams and their real administrative tasks. Representatives of the companies judge the access and ease of use, and central IT judges the way the service is maintained. We deploy local models as part of private LLMs, and we build the view for working with sources as an AI app. For the free analysis, a description of one case and of where the materials sit is enough. Confidential files stay in the company, and you get a written plan within 2 working days.

Worked example · Scenario

How we count the payback: a shared local model

We run the same count for your group in the free analysis.

€4,188

a month for the work on 600 questions

EU cloud version payback: 0.8 mo.

Our assumptions are 12 minutes to find an answer in the documentation, and checking in 15% of the old time. €34.90 an hour is the EU average hourly labour cost for 2025 according to Eurostat, for companies with 10 or more employees. Model cost: Claude Sonnet 5.5, about 6,000 + 500 tokens per answer in the EU cloud version, at the ECB rate of 1.1205 USD per euro on 22 October 2026. We count the payback for an app with a model in the EU cloud (from €3,000 net). We price the model on your server after a call, and the cost of people's work stays the same.

See the full calculation →

This is how we implement it in companies

All case studies →

Client results.

All projects →
foap.comcustomer service

foap.com customer service: 95% of replies are sent automatically.

Users from several countries write to foap.com, in several languages. The system reads the entire conversation and the terms of that person, and then sends a response in that person's language. Questions about money and exceptions go to the team with a ready draft, so they have to check and send them.

the system sends the answers itself, without human typing
95%
time from the arrival of the e-mail to the ready response (median)
30 s
e-mails that require a response receive a ready-made draft
100%
less work for every 1000 answers (estimate)
47 h

Data from foap.com production, October 20-21, 2026. Estimate: 3 minutes for handwritten response.

How foap.com customer service works →
Sample messages. Money matters always come to the person.

Other implementations

jaktako.design

studio projektowe

−87%

Time to look for new customers, every day

4 hours → 30 min

approx. 73 hours less per month (21 days of work)

according to the studio

How the agent loop works →
Signature Estates

real estate

approx. −90%

Operator time spent browsing portals, per day

2–3 hours → 20 min

approx. 45 hours less per month (21 days of work)

respect · contact the seller 5 minutes after the announcement

How the agent finds property listings →
Kuba Koziej, CEO and co-founder of MoreGrowth and board member at Natu.Care

Kuba Koziej

CEO and co-founder, MoreGrowth

„We started with my own AI agent. During the training that followed, I learned to build new applications myself. Today I am bringing this way of working with AI into my business. Working with Syntalith gave me exactly the skills and tools I needed.”

View the original training review on LinkedIn ↗

A model on your server or in the cloud in the EU, proven on your tasks.Book a free process review (30 min) →

How we build automation and agents

From a conversation to a working system in four steps.

  1. 01 · 30 min

    Free process review

    €0

    You're talking to an engineer. You receive the written plan within 2 business days.

  2. 02 · 5 days

    Free prototype

    €0

    The system works on 20-100 cases that your team has already handled. You see every result.

  3. 03 · 2–16 weeks

    Build

    50%

    Fixed price and goal written in the contract. First installment upon signing.

  4. 04 · after reaching the goal

    Reception

    50%

    You pay the second installment when the system reaches its target on your cases.

How a free prototype is created

Mon.

We set a goal

What result do you consider good?

Tue–Wed

The system is working

It goes through your affairs, one by one.

Thu

We compare

We check every difference with the team's work.

Fri

Result and price

List of errors and fixed implementation price.

You choose the matters. We anonymize them upon request, they stay in the EU and we delete them after the test.

On the market, such a test usually costs from PLN 3,000 to PLN 8,000.

Book a free process review (30 min)

We establish a prototype during a free analysis.

Data checked on October 25, 2026.

„Is my data safe?”

Yes. You choose where they go: from your company account to the model on your server.

  1. 00Employee's private account

    Customer and company data ends up in an account that the company cannot see or control. There is no data processing agreement, so it is a violation of the GDPR. When an employee leaves, the chat history goes with them.

  2. 01ChatGPT or Claude corporate account

    The provider does not use your data to train models. A copy of the queries remains in his logs for up to 30 days.

  3. 02API with zero retention (ZDR)

    The provider processes the request and does not save anything. It requires his consent, we prepare the application together.

  4. 03Processing in the EU

    Queries are counted and stored in Europe: OpenAI in the EU region, Claude via clouds with the EU region.

  5. 04Model at your place

    The open model runs on your server or in your cloud in the EU. The data does not go outside the company.

What we do with every implementation

  • Confidentiality agreement and data processing agreement before we receive any data.
  • You choose the cases for the prototype and we anonymize them upon request.
  • The data stays in the EU and we delete it after the test.
  • Corporate accounts with an administrator on your side.

When data cannot leave the company

The open model runs on your server or in your cloud in the EU. To choose from:

White-tailed eagle
Polish model, SpeakLeash and ACK Cyfronet AGH
PLLUM
Polish model, HIVE consortium commissioned by the Ministry of Digitization
Qwen
Alibaba
GLM
Zhipu AI
DeepSeek
DeepSeek

We select a model for the task and check it on your cases. We run it, tune it and maintain it.

Source: Bielik and PLLuM, ACK Cyfronet AGH ↗ · PLLuM, Ministry of Digitization ↗

Do you have a lot of your own data? We will fine-tune the small model.

  1. 1 Your examples
  2. 2 tuning
  3. 3 test on new cases
  4. 4 model at your place

When you have thousands of similar emails, documents or reports, we teach a small open model based on your examples. It works for you, responds quickly and costs less to maintain than a large model. We measure quality on issues that the model has not seen while learning.

Przemysław and Piotr did it in large programming and consulting companies. Artem did it before and does it today at Syntalith. It's about models on your own infrastructure, tuning and quality measurement.

You choose the protection level during the interview. We sign the data processing agreement before we see any data.Schedule a free analysis →

Private AI models

A model on your server or in the cloud in the EU, proven on your tasks.

We select the model and equipment for the task, run it and measure the quality using your examples before you buy anything. The data stays in the company or in the cloud in the EU. We price implementation, hardware or hosting and support separately after analysis.

View private AI models →
model on your server or in the cloud in the EU
quoted after the review
same work in application with EU cloud model
from €3,000
task, data and equipment analysis
€0

Questions

  • Can several companies use one AI server?

    Yes, if each company manages its own users and materials with no access to the others' data, and the split of permissions passes a trial on the administrators' accounts.

  • A shared app or separate environments?

    A shared app fits similar needs and clear groups. Separate environments on a shared server fit when the companies have different administrators and different dates for changes.

  • How much does an app on a local model cost?

    At Syntalith from €3,000 net plus GPU hardware, for example a Hetzner GEX45 server with 24 GB at €214 a month. At 600 questions to documents a month the payback is 1.2 months.

Let's talk

Just write, call or choose a date.

We work fast because we hate corporate cotton wool. We don't have salespeople or managers to keep an eye on managers. You talk immediately to engineers who then build your system. We respect each other's time and yours too.

We will accept 3 more companies by the end of the year.

Mon–Fri 9:00–17:00 CET

What our OpenAI and Anthropic partnerships mean for you.

OpenAI makes ChatGPT and Anthropic makes Claude. We belong to the partnership programs of both companies, so we work with their tools every day and learn from the creators themselves.

OpenAI Select PartnerClaude Partner Network
01We will select a tool for the task
We implement both ChatGPT and Claude. We check both on your documents, and you choose the one that makes fewer corrections and saves more time.
02Knowledge straight from the creators
We learn from official OpenAI and Anthropic courses and materials. Your team learns about the features and settings that work today.
03Licenses without our margin
When we roll out ChatGPT, Claude or Copilot, you buy the licences directly from OpenAI, Anthropic or Microsoft and they invoice you. We add nothing to the licence.
04Certified engineers
On the team, we have an AWS certification in machine learning and an Anthropic certification in systems architecture on Claude.

Participation in programs does not mean that OpenAI or Anthropic endorses our services.