Do I need my own GPU?

No. We can assess your computer, specify new hardware or rent a GPU. Requirements depend on the model, document length and concurrent workload. Where performance is uncertain, we test before a purchase.

Will a local LLM cost less than an API?

That depends on utilization and operating costs. We include hardware or rental, energy, engineering time, recovery capacity and corrections. We compare the cost of a successfully completed task; token charges alone are incomplete.

Does a model learn automatically from my documents?

Ordinary inference does not change the model weights. RAG can supply documents at query time. Fine-tuning is a separate training process using prepared examples, access controls and an independent evaluation set.

Can you adapt a model to Polish and our industry?

Yes. We first evaluate an existing model on Polish examples from your work. If the errors justify fine-tuning, we prepare training data and compare the model before and after training. We also assess abstention and unfamiliar inputs.

Does self-hosting ensure GDPR compliance?

Self-hosting gives you control of the environment. Compliance also depends on the processing basis, permissions, retention and contracts. We provide technical documentation for your data protection reviewers.

Do you help individuals without technical experience?

Yes. We can help from computer selection through first use. The scope can include installation, basic privacy settings, instructions and a practical introduction for your intended task.

Private AI models. Your hardware, your rules.

We select an open model and hardware, check the quality on your examples and run the whole thing on a computer, company server or in the cloud in the EU. When the task requires it, we fine-tune the model or train a smaller model for one job.

conversation about the task with an engineer: €0
for companies and individuals: PL and EU
computer, company server or cloud in the EU: Your hardware
after determining the scope, before work: valuation

Book a free process review (30 min)

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

Why a private model

Some data cannot leave the company. The model can come to them.

We run an open model on your server or in your cloud in the EU. Documents, logs and copies stay with you. We select the model for the task and check it on your data before you spend money on equipment.

48,8%

companies in the EU that have considered AI and are not using it indicated data protection concerns, according to Eurostat (2025).

Eurostat, AI in enterprises ↗

How it works

Your server. Your model. Your data.

The data stays in the company.
The model, documents, logs and copies run on your server or in your cloud in the EU.
A model selected for the task.
Qwen, DeepSeek, GLM, Bielik or PLLuM. We check the license and whether the model will fit on your equipment.
Test before purchasing equipment.
First, we check the result on your data, including the rented GPU. Then we count the server.

Statistics: How does the local model perform in the 2026 test?

In the Syntalith (2026) test, half of the local model responses were ready faster than 521 ms. Out of 750 questions, no answer came from a document to which the questioner did not have access.

In the Syntalith test (2026), each of the 750 questions had a different access card.

According to the Central Statistical Office, the average salary in the enterprise sector in September 2026 was PLN 9,266.48 gross.

With employer contributions and 168 hours a month, an hour of work costs the company PLN 66.45.

Sources: Central Statistical Office, Average employment and salary in the enterprise sector in September 2026. ↗ · Permission-aware company memory

Data checked on October 25, 2026.

half of the local model's responses are ready faster (Syntalith test, 2026): 521 ms; half of the local model's responses are ready faster (Syntalith test, 2026)
questions in the Syntalith test (2026), each with a different access card, with no answers outside the permissions: 750; questions in the Syntalith test (2026), each with a different access card, with no answers outside the permissions

Local model response time

Local model on GPU, Syntalith test (2026)

Times from saved Syntalith test runs. We estimate the cost of a GPU server and its maintenance after analysis, because it depends on the model and the number of queries.

How much does a private LLM model cost in a company?

Full pricing →

The cost depends on the task, model, equipment and load, so we provide a quote after determining the scope.

First, we test one task against agreed examples and compare the quality, response time and full cost of the local model with the API service. Before implementation, you know the result and cost of the selected variant.

„Why should I trust you?”

Because the system is built by engineers with over 22 years of experience.

You talk to people who then write code. They have worked in large companies and built systems that operate under high traffic.

You won't spend money on a prototype that won't do anything.

First a free conversation, then a free prototype in your trial. If we don't see a return, we don't build and write it straight. You only pay for a system that makes sense.

Polish-Ukrainian team of engineers.

Artem, Przemek and Piotr studied computer science together at the Lublin University of Technology in 2017⁠–⁠2021. Artem and Serhii founded Syntalith together. They both come from Kiev and have been living in Poland for years. We build systems for Polish companies, in Polish and according to Polish law.

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.

Claude 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.

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.

Write: contact@syntalith.ai
Call: +48 888 78 48 78
WhatsApp: write on WhatsApp

Mon–Fri 9:00–17:00 CET

Common questions

Do I need my own GPU?
No. We can assess your computer, specify new hardware or rent a GPU. Requirements depend on the model, document length and concurrent workload. Where performance is uncertain, we test before a purchase.
Will a local LLM cost less than an API?
That depends on utilization and operating costs. We include hardware or rental, energy, engineering time, recovery capacity and corrections. We compare the cost of a successfully completed task; token charges alone are incomplete.
Does a model learn automatically from my documents?
Ordinary inference does not change the model weights. RAG can supply documents at query time. Fine-tuning is a separate training process using prepared examples, access controls and an independent evaluation set.
Can you adapt a model to Polish and our industry?
Yes. We first evaluate an existing model on Polish examples from your work. If the errors justify fine-tuning, we prepare training data and compare the model before and after training. We also assess abstention and unfamiliar inputs.
Does self-hosting ensure GDPR compliance?
Self-hosting gives you control of the environment. Compliance also depends on the processing basis, permissions, retention and contracts. We provide technical documentation for your data protection reviewers.
Do you help individuals without technical experience?
Yes. We can help from computer selection through first use. The scope can include installation, basic privacy settings, instructions and a practical introduction for your intended task.