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AI in manufacturing and trade secrets: what a local model does not solve

Short answer

A model on the plant's server is not enough to keep a formula a trade secret. Under Article 11 of Poland's Act on Combating Unfair Competition, the steps the company takes to protect the information count too. So an AI assistant may only retrieve documents the person asking is allowed to see. With 500 operator questions a month, a €3,000 local app pays back in 1.7 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

Company data and AI: statistics 2026

1.7 mo.

payback of a €3,000 local app at 500 operator questions a month, 8 minutes of searching for instructions each, with a GPU server at the plant. Scenario.

Figures checked: 22 October 2026

In Poland, Article 11(2) of the Act on Combating Unfair Competition covers technical, technological, organisational and other information with economic value that is not generally known or easily accessible to people in the industry. The third condition concerns the company itself: the entitled person must take due care to keep the information confidential. The provision also covers a particular combination of information: single elements may be known, and the value lies in putting them together.

A „confidential” label, a signed agreement or the location of the server does not meet all three conditions. Rolling out an AI assistant becomes part of those steps, so its design has legal weight. Assessing a specific incident is a lawyer's job, and this article describes the technical preparation.

A formula does not stay in its folder

At the plant, the process engineer sees the full formula, and the operator sees the instructions for their own stage. The assistant should help the operator find the current instructions. If it searches the whole collection, it can use content the operator has no access to in its answer. A model running locally still takes part in that badly designed flow.

PlaceWhat to settle with the data owner and the administrator
Reading PDFs and photos of documentswhether the file goes to a local tool or an external service
Searchwhether document permissions limit the passages retrieved
Answer historywho sees the saved conversation and attachments
Diagnostic logswhether an error records the full text of a document or question
Backups and servicewho can restore the materials and what the service provider receives

Hiding the button that opens the source is not enough if the content of a closed document has already reached the answer. Permissions must apply before the model, as the article on permission-aware RAG describes.

An access test before the rollout

A test on a fictional formula
  1. 01Preparationa fictional formula, two roles, the expected result written down before the test
  2. 02Direct questionan operator asks for the name of a formula they have no access to
  3. 03Access removedthe same question in an existing conversation after the role changes
  4. 04Document withdrawnwhat happens to the index, the history and the copies
  5. 05Recordthe run and the exceptions found stay as the acceptance document

A change in folder permissions does not prove that every copy changed: the search index, the conversation history and the logs have their own rules. So acceptance covers the failed attempts next to the correct answer for an authorised user.

What a local AI documentation assistant costs and when it pays back

Scenario: 500 operator questions a month
Today
500 questions × 8 min = 66.7 h (€2,327)
With the system, a person checks the output in 15% of the time
€349
Model, 1 call per case, Claude Sonnet 5.5
€8
Cost of one case
€4.65 today, €0.71 with the system
Saving
€1,970 a month

Payback of €3,000

1.5 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: 6,000 input tokens and 500 output tokens per call at Anthropic's rates, converted at the ECB rate of 1.1205 USD per euro on 22 October 2026.

In the local version, a GPU server replaces the API model, for example the Hetzner GEX45 at €214 a month, or hardware at the plant. With the checking at €349, the local version costs €563 a month and the payback grows to 1.7 months. That is the price of keeping formulas in your own infrastructure, which you compare with an assessment of an external service and its terms.

Who is responsible for what

Division of responsibility
  • The information owner and a lawyer

    what needs protection and which use is allowed

    a decision

  • The administrator

    roles, copies, logs and service access

    configuration

  • The contractor

    data flow, permissions before the model, an access test

    acceptance terms

We prepare the local model and its evaluation as part of private LLMs, and the register of tools and the rules for working with data in an AI Act and GDPR audit from €700 net. For the free process review, a description of the types of documents and user roles is enough, with no formulas and no process parameters.

Worked example · Scenario

How we count the payback: a documentation assistant in manufacturing

We run the same count for your documents in the free process review.

€4,653

a month for finding answers to 800 questions in documents

Payback: 0.8 mo.

Our assumptions are 10 minutes to find the right instruction for the product and version, 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 from documents, at the ECB rate of 1.1205 USD per euro on 22 October 2026.

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 21, 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

  • Does a local model protect a trade secret?

    Not by itself. The law requires the company to take steps to keep the information confidential. What counts is who can retrieve a document, where its copies are made and what the conversation history records, and a local server is only one part.

  • What does Article 11 of Poland's Act on Combating Unfair Competition say?

    A trade secret is technical, technological, organisational or other information with economic value that is not generally known or easily accessible, provided the entitled person has taken due care to keep it confidential.

  • How do you check that the assistant will not reveal a formula?

    With a two-role test on a fictional formula. An operator asks for the name of a formula they have no access to, and the answer must contain no part of it. Then remove access and repeat the question in the same conversation.

  • How much does a local documentation assistant cost?

    The app at Syntalith from €3,000 net, plus a GPU server such as the Hetzner GEX45 at €214 a month or hardware at the plant. With 500 questions at 8 minutes each, the payback is 1.7 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
You buy accounts directly from OpenAI or Anthropic and receive an invoice from them. We do not add anything to the license.
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.