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Best AI implementation companies in Poland (2026)

Short answer

Syntalith fits small and medium-sized Polish companies best when they want their first AI process in production at a fixed price. For large programmes in corporations, deepsense.ai and Addepto are the better choice. Vstorm leads in building agents, 10Clouds in banking and insurance, VM.PL in manufacturing, Protopia on Microsoft Azure and allclouds.pl in the public sector.

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
net per agent for one process, paid once
from €3,000
from signing the contract to acceptance
6–16 weeks
free prototype on your cases
€0

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

Author: Syntalith · 6 min read

Example: the morning request inbox
Agent · ready

Statistics

AI implementation in Poland: statistics 2026

10

AI implementation companies in Poland in Syntalith's 2026 list, described by scope, industry and client size from their own websites.

Figures checked: 22 October 2026

Disclaimer: this list was written by Syntalith, one of the companies described. The descriptions of the other companies are based on their websites, so check them on your own process.

How to compare suppliers
  • The same process described to every supplier
  • The price of the build and of maintenance separately
  • Who takes over the code, the model instructions and the documentation
  • A conversation with a client who uses the system

Ten AI implementation companies in Poland at a glance

CompanyBased inWho it suits best
SyntalithWarsawSmall and medium-sized Polish companies that want their first AI process in production at a fixed price
deepsense.aiWarsawLarge companies building production AI systems, including in regulated industries
AddeptoWarsawAI and data programmes in large companies, including on Databricks
VstormWrocławMid-sized companies that need agent engineering in Python
10CloudsWarsawBanks, insurers, fintechs and digital commerce
STX NextPoznańLarge and mid-sized companies that need Python, data and cloud engineering at scale
NetguruPoznańDigital commerce companies adding AI to customer-facing products
VM.PLWrocławManufacturers and industrial companies
ProtopiaWarsawLarge organisations working on Microsoft Azure
allclouds.plPolandPublic administration and regulated industries that need AI oversight

How we set the order

The order serves one task: a Polish company wants to run its first AI process within a few weeks. For that task, six things decide:

  1. Prices you can check before the first call.
  2. The chance to see a result on your own process before you pay for the build.
  3. A contract with a written goal, price and acceptance test.
  4. Ownership of the code and documentation after hand-over.
  5. The project is led by the engineers who build the system.
  6. Work in Polish, with GDPR and the AI Act in scope from the start.

For a different task, for example a large data platform, a banking programme or a factory, the order changes. The table above shows whom we would call in each of those cases.

1. Syntalith for small and medium-sized companies

Syntalith was founded in 2025 in Warsaw. It builds automations, agents and AI apps for Polish companies and trains their teams. It holds OpenAI Select Partner status and is a member of Anthropic's Claude Partner Network.

For a first process it offers:

  • Public prices. The process review costs €0, the audit from €600 net, training from €1,150 net a day, automation from €3,000 and an agent from €3,000, typically up to €17,500. All the price points are on the AI implementation pricing page.
  • A free first process. When the process is based on documents or messages, Syntalith runs it on 20 to 100 cases the team has already handled, in 5 working days, before you decide on the build.
  • A contract with the scope, a fixed price, one goal and a test set for acceptance. Payment is usually 50% on signing and 50% after acceptance, and the client takes over the code, the model instructions and the documentation.
  • A project run in Polish by the engineers who build the system, with GDPR and the AI Act in scope from the first call.
  • Results shown on syntalith.ai: at foap.com every creator email that needs a reply gets a ready draft, with a median of 30 seconds from arrival to draft; jakotako.design cut the time spent finding clients from 4 hours to 30 minutes a day, according to the studio; Signature Estates needs 5 minutes from a new listing on OLX to a ready contact with the seller.

Syntalith takes one process into production and widens the scope after acceptance. A programme that starts in dozens of teams at once suits the larger companies on this list better.

2. deepsense.ai and production AI in large companies

deepsense.ai was founded in 2014 in Warsaw. According to its website, it helps organisations design, build and scale production AI systems, and it names OpenAI, Anthropic, Google Cloud and AWS as partners. Its own generative AI accelerator is called ragbits. In September 2026 the company said OpenAI had named it in the launch announcement of the OpenAI Agents API. Among its recent topics are agent architectures for pharma and life sciences.

3. Addepto and data in large companies

Addepto was founded in 2018 in Warsaw. It works on AI and data for global companies: AI consulting, proof-of-concept projects, building agents and generative AI, machine learning and Databricks rollouts. It offers new clients a workshop to identify AI uses, and has its own product, ContextClue, for managing engineering and production knowledge.

4. Vstorm and agent engineering

Vstorm was founded in 2017 in Wrocław. It describes itself as an AI agent engineering company for mid-sized businesses. It says it is Pydantic's main implementation partner, co-founded the Agentic AI Foundation and maintains 25 open-source projects. It suits technical teams that need deep knowledge of agent architecture.

5. 10Clouds for banks and insurers

10Clouds is based in Warsaw and works on AI for banks, insurers, fintechs and digital commerce. It also helps teams in large companies roll out Claude Code and Claude Cowork. In June 2026 it announced Select partner status in the services track of the Claude Partner Network.

6. STX Next and Python, data and cloud engineering

STX Next was founded in 2005 in Poznań. It offers AI, machine learning, data engineering and AI-assisted software development for large and mid-sized companies in finance, manufacturing and technology, with teams in Poland and Mexico.

7. Netguru and AI in digital commerce

Netguru was founded in 2008 in Poznań. It builds custom software and digital commerce platforms, including AI-based personalisation. It is a certified B Corporation and names IKEA, Volkswagen, OLX and Żabka among its clients.

8. VM.PL for manufacturing

VM.PL was founded in 2004 in Wrocław. It builds IT and AI solutions for manufacturers, industrial companies and R&D teams: agents based on language models connected to company systems, document processing, image recognition, predictive maintenance and AI training. It says it has delivered over 470 projects.

9. Protopia for organisations on Microsoft Azure

Protopia was founded in 2020 in Warsaw. It advises the CIOs and CTOs of large organisations on Azure, Kubernetes and AI rollouts, and builds AI agents, agentic RAG and internal assistants for regulated industries. It holds Microsoft Solutions Partner status for Azure and for Digital & App Innovation, and three people on the team hold the Microsoft MVP title.

10. allclouds.pl for regulated industries

allclouds.pl designs and deploys AI for banking, public administration, energy, defence, healthcare and telecoms. It says it was the first organisation in Poland to receive ISO/IEC 42001 certification from Bureau Veritas, and it develops its own control layer for AI queries, PROXY:AI. It suits public institutions and regulated companies that need certified AI management.

Six questions for every AI implementation company

Ask every company on the list, including us:

  • How much does the first process cost, and will I see the price before the call?
  • Will you run my process on 20 of my documents before I pay for the build?
  • What will the contract say about the goal, the test set and acceptance?
  • After hand-over, who owns the code, the model instructions and the documentation?
  • Who builds the system, and can I talk to that engineer before signing?
  • Which client with a similar process can I call?

We describe a detailed method for comparing proposals in the article on how to choose an AI implementation agency.

Sources

Company websites and their LinkedIn profiles, checked on 15 October 2026:

What a first AI process with Syntalith costs

Syntalith's prices for a first process
  • A process review with a written summary

    €0

    2 working days

  • A process audit before the build

    from €600 net

    5 working days

  • Team training

    from €1,150 net a day

    1 to 2 days

  • An automation or an AI agent

    from €3,000 net, typically up to €17,500

    a fixed price before the contract

A first process with Syntalith
  1. 01Reviewthe process, the metric and the owner, €0
  2. 02Auditdata and upkeep cost before the build
  3. 03Buildfixed price, scope and test set
  4. 04Acceptanceon the team's cases, with the code handed over
  5. 05Maintenancepriced separately

Where to start

In the free process review we choose one process and count the team's volume and working time, and within 2 working days you get a written summary with a price. We build as part of AI apps, and we price maintenance separately.

Worked example · Scenario

How we count the payback: a first process with a supplier

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

€5,817

a month for answering 2,000 customer emails

Payback: 0.6 mo.

5 minutes to read an email and write a reply and checking in 15% of the old time are our assumptions. €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 3,000 + 600 tokens per message with a draft reply, 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 ↗

See the agent on your own cases before you commit.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 →

AI agents

See the agent on your own cases before you commit.

The agent takes the case through the next steps in your systems, and the actions take effect until the consent of the indicated person is obtained. A prototype for 20-100 cases that your team has already handled costs €0. We write down the purpose and test set in the contract.

See AI agents →
net per agent for one process, paid once
from €3,000
from signing the contract to acceptance
6–16 weeks
free prototype on your cases
€0

Questions

  • Which AI implementation company is the best in Poland?

    It depends on the size of the company and the project. Syntalith fits SMEs with a first process at a fixed price, deepsense.ai and Addepto large programmes, Vstorm agents, and 10Clouds banks and insurers.

  • How do you compare AI implementation companies?

    On the same process: the scope, the price of the build and of maintenance, who takes over the code and documentation, and a conversation with a client who uses the supplier's system.

  • How much does an AI implementation with Syntalith cost?

    The process review €0, the audit from €600 net, training from €1,150 net a day, automation and agents from €3,000 net, typically up to €17,500.

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.