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Training material: who approves its use?

Short answer

Before you adapt a model on company materials, establish where each group of files comes from and which work it was approved for. Your own approved texts usually go into the first trial, while client and partner materials wait for a decision by the person who knows the agreements. At Syntalith an app costs from €3,000 net, and at 300 materials to assess a month of 12 minutes each it pays back in 2.4 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

Training data and AI: statistics 2026

2.4 mo.

payback of a €3,000 app at 300 materials to assess a month: €2,094 of work today, €841 with checking and the model. Scenario.

Figures checked: 22 October 2026

One folder, different agreements

A company wants to adapt a model to write service descriptions. The archive holds its own approved texts and presentations prepared by partners. Employees used both on projects, but that does not show whether both kinds of material may go into training, or in which environment.

The project owner separates these groups and sends a specific question to the person who knows the agreements with the partner. If there is no answer, the partner's materials stay outside the first scope, and a trial on the company's own texts lets you assess the task without waiting. Hugging Face describes licences in repository cards and recommends checking the terms, but a file being in a repository does not replace an assessment of its use.

A record of a material's origin
  1. 01Groupown, a client's, a partner's or public
  2. 02Agreementwhich work the material was approved for
  3. 03Personwho confirmed it, and when
  4. 04Setwhich files went to the contractor
  5. 05Purposea new use needs a new question
What the contractor must describe before files are handed over
  • Assessing answers, preparing examples or training
  • Who gets copies, and whether an external service takes part
  • Which files the task really needs
  • What happens to the copies after the work ends

What it costs and when it pays back

Scenario: 300 materials to assess a month
Today
300 materials to assess × 12 min = 60.0 h (€2,094)
With the system, a person checks the output in 40% of the time
€838
Model, 1 call per case, Claude Sonnet 5.5
€3
Cost of one case
€6.98 today, €2.80 with the system
Saving
€1,253 a month

Payback of €3,000

2.4 months

The volume, the time and the checking share are the scenario's assumptions. €34.90 an hour is the EU average hourly labour cost for 2025 according to Eurostat. Model: 3,000 input tokens and 300 output tokens per call at Anthropic's rates, converted at the ECB rate of 1.1205 USD per euro on 22 October 2026.

The count covers the work around a case: searching, reading, writing and passing it on. What remains is the time to check the result, 40% of today's work in the scenario. Before the quote we time both on 20 to 100 cases the team has already handled, in a €0 test that takes 5 working days.

The scenario assumes 300 materials a month for which someone today establishes origin and approval in 12 minutes. The app collects the record and suggests the group, and the responsible person makes the decision, which is why we count checking as 40% of today's time.

Less data is often enough

If the task concerns the style of a description, the full history of correspondence is unnecessary, and the contractor should be able to explain why it needs each set. The agreements have to reach the people preparing the examples, because a decision in a manager's email will not stop a file at the next export. Material approved for an internal trial may later enter a product plan for other users, and then the project owner goes back to the responsible person with the new purpose. The decision to train is covered in the article does your company have enough examples for fine-tuning.

A ready-made model, examples or training
  • A style description and a few templates are enough

    a ready-made model with instructions

    no training

  • Your own approved texts

    a trial on approved examples

    from €3,000

  • Client and partner materials

    training after the responsible people decide

    priced after an analysis

Where to start

We begin the first call with a description of the task and the kinds of material, without sending them. We establish what information the decision makers need and what can be assessed on examples that are already approved. We build such a rollout as part of private LLMs. For the free analysis, a description of one case from recent weeks and of the tools it ran through is enough. You do not need to send confidential documents, and you get a written plan within 2 working days.

Worked example · Scenario

How we count the payback: preparing the data

We run the same count for your company 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 you train an AI model on company documents?

    On materials the company has approved for this work. Your own approved texts can usually be used at once, while client and partner materials need a decision by the person who knows the agreements with them.

  • What should you record about training data?

    The group of material, what work it was approved for, the person who confirmed it, the set handed to the contractor and the purpose. A change of purpose needs a new question.

  • How much does such an app cost?

    At Syntalith from €3,000 net. At 300 materials to assess a month of 12 minutes each, the payback is 2.4 months. We agree integrations and maintenance before the quote, and the model costs €3 a month.

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.