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By TJ SoftUpdated:

State of Polish AI 2025. The Development of Artificial Intelligence in Poland. Enormous Potential and Challenges.

State of the Polish AI 2025. Rozwój sztucznej inteligencji w Polsce. Ogromny potencjał i wyzwania.

Did you know that the development of artificial intelligence in Poland is progressing much faster than most people realize? It is a topic that is often overshadowed by admiration for foreign achievements. Everyone has heard of ChatGPT or DeepSeek. But do we know what is happening right next door? It turns out that, despite many difficulties, Poland is home to companies creating solutions known and used all over the world.

The company Cosmose.ai has access to more than one billion smartphones, while Eleven Labs has created the world’s best text-to-speech model, with companies such as Spotify and Google using its services. ElevenLabs technology is used by employees at more than 60% of Fortune 500 companies, demonstrating its broad applicability and the trust it enjoys among the largest corporations.

We also have strong foundations on which we can build a technological advantage. And although the road is not easy, it is truly worth taking a closer look at what has already been achieved.

In this article, I will show you what the Polish AI ecosystem looks like. I will highlight companies that are genuinely doing great work. I will tell you about universities investing in the development of this technology. I will present social initiatives and examples of grassroots efforts that show you don’t need a lot of money to do great things. At the end, you will also find a collection of links and sources to help you keep up to date with what is happening in this field. Because if you are interested in the future, it is worth knowing what is happening here and now in Poland.

https://tjsoft.pl/state-of-the-polish-ai-2025-rozwoj-sztucznej-inteligencji-w-polsce-ogromny-potencjal-i-wyzwania/#speak-leash-bielik

Table of Contents

Let’s start with what we have. Above all, great people. Poland is home to no shortage of talented programmers, researchers, engineers, and practitioners who understand how AI works and know how to implement it in real-world projects. We have enthusiasts who create open-source tools, organize meetups, and grow the community in their free time. We have experts working for companies in the technology sector who are steadily building solutions based on artificial intelligence. In addition, we have universities educating future specialists, as well as infrastructure in the form of modern server rooms and data centers. There is truly nothing to be ashamed of.

But not everything looks rosy. The main problem is that many specialists are leaving the country (a phenomenon known as “brain drain”). It is not only about better salaries. It is also about access to greater capital, more mature markets, and more interesting projects. This phenomenon, known as brain drain, is causing the Polish market to lose some of its potential. And although some people return or work remotely for Polish companies, the scale of this phenomenon remains significant. We need concrete action to reverse this trend and create conditions that encourage people to stay where they grew up and received their education.

Let’s start with some figures. According to a Digital Poland report, more than 300 Polish companies are already actively developing AI-based solutions. And if we include companies associated with this area, the number reaches approximately 1,000. We can assume that there are many more such companies in 2025. In 2024 alone, companies from Poland invested as much as PLN 1.8 billion in AI technologies. This is a record result and a clear signal that we take this subject seriously. What’s more, we also have excellent engineers. As many as 16 Poles made it into the top 100 of the global Kaggle platform ranking. This is no coincidence. It is the result of years of learning, work, and passion. In addition, our universities educate more than 12,000 AI specialists every year. This is a truly strong foundation for further development.

In the following sections of this text, I will take a closer look at the most interesting projects, people, and companies worth knowing about. If you are interested in this subject and want to understand where Polish artificial intelligence is headed, I invite you to continue reading.

Characteristics of Artificial Intelligence in Poland

More and more companies are implementing artificial intelligence–based solutions in their day-to-day work. As many as 80 percent of companies declare their intention to increase spending on AI. At least one third of Polish enterprises have already implemented this type of technology.

The training market and the education segment are also developing dynamically. Many grassroots initiatives are emerging, such as Bielik and Speakleash.

Poles played a significant role in creating key language models, including the famous ChatGPT and AI Bard, which was the predecessor to Google’s Gemini model.

We therefore possess both the knowledge and tremendous enthusiasm. Unfortunately, many experts leave the country due to limited access to funding. Instead of developing Polish companies and attracting capital, they create value for foreign organizations. This is a classic example of the brain drain phenomenon.

This does not mean, however, that we are behind in the business arena. Many companies developing practical solutions for businesses have been established in the country. Although they receive less media attention, many of them achieve valuations reaching hundreds of millions of zlotys. A good example is the Kraków-based company Synerise.

It is also worth mentioning ElevenLabs. It is a company founded by Poles that has achieved global success. It developed software that generates natural-sounding speech from text and does so better than Apple or Google. Although it is registered in the USA, it clearly emphasizes its Polish roots and actively invests in development in Poland. Its value has already exceeded one billion dollars.

Poland ranks fifth in the European Union in terms of the number of scientific publications on artificial intelligence in science and engineering. Between 2010 and 2021, nearly 14** thousand papers were published.** Unfortunately, in terms of the number of AI specialists among all employed people, Poland ranks only 24th in the EU.

On the other hand, we have a large group of experts involved in the practical implementation of AI in companies and institutions.

Over 40 percent of companies operating in the AI sector are headquartered in Warsaw. The remainder are concentrated mainly in major urban centers such as Kraków, Wrocław, Poznań, Gdańsk, and Katowice.

Poland is the leader in artificial intelligence development in Central and Eastern Europe. Warsaw plays a key role in this process as the region’s technology hub.

Companies Developing AI in Poland

Poland’s Largest Companies Specializing in AI

Cosmose AI (analysis of customer behavior in the real world)

Cosmose AI is a company founded by Miron Mironiuk. It specializes in analyzing customer behavior in brick-and-mortar stores. The technology developed by Cosmose tracks which products a person viewed and which they ultimately decided not to purchase. The data collected in this way is then used for precise ad targeting.

The company’s value is estimated at 2 billion zlotys, or approximately 500 million dollars. Global brands such as LVMH and L’Oréal have invested in Cosmose AI.

The startup’s creators emphasize that their solutions can increase sales in stores by as much as 40 percent. The technology is also intended to strengthen customer loyalty and improve brand recognition.

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More than 20 million retail outlets use Cosmose AI’s services. The company itself has access to data from over a billion smartphones worldwide. This may sound surprising, especially since most people have never heard of the Cosmose AI app.

This is because the company does not operate on a direct-to-user contact model. Cosmose AI collects data through other applications that track location, as well as through information shared by free Wi-Fi networks available, for example, in shopping malls.

Cosmose AI is a company with a global reach. It originated in Wrocław, the hometown of Mirosław Mironiuk, and has offices around the world**, but is registered in Warsaw.**

Infermedica

Another company originating from Wrocław, additionally registered in Wrocław. The value of this company is approximately 120–180 million dollars (the Series B funding round enabled them to raise 30 million dollars).

Infermedica develops solutions that make it easier for patients to contact a doctor.

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It is estimated that in 2030, approximately 5 billion people will not have access to even basic medical care. Educating medical staff, building facilities, and purchasing equipment are enormous challenges, which is why Infermedica decided that it would be beneficial to create solutions that increase physicians’ efficiency. It turns out that a significant part of physicians’ work does not require more than a dozen years of study and practice, but consists of ordinary administrative tasks that can be performed by people with nursing qualifications or even merely administrative experience. Ideas are therefore emerging to expand hospital staff with such employees, and Infermedica has created solutions to help relieve physicians of their workload.

  • Infermedica Triage – a solution for the initial assessment of symptoms, triage (i.e., sorting patients according to urgency), and recommending the appropriate level of medical care
  • Infermedica Intake – collects the patient’s medical history and prepares them for a medical consultation
  • Infermedica API – an interface enabling the integration of Infermedica technology with other systems, allowing the creation of custom solutions based on its engine and medical knowledge base.

The Symptomate app, available for iPhone and Android (over 500,000 downloads on Android), enables free and anonymous health symptom checks.

https://infermedica.com/platform Medical guidance platform

Eleven Labs

ElevenLabs – a startup founded by Poles (including Mateusz Staniszewski and Piotr Dąbkowski) and based in the USA, which created the world’s most advanced speech synthesis technology.

This AI-powered tool can generate speech indistinguishable from a human voice—in any language and style. ElevenLabs gained international recognition thanks to the quality of its generated voice and attracted investors from Silicon Valley, demonstrating that Polish innovators are at the forefront of generative AI.

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Before founding ElevenLabs, Staniszewski worked at OpenAI, while Dąbkowski worked at Google. In 2022, they launched a startup together that just two years later reached a valuation of one billion dollars, becoming one of the fastest-growing unicorns.

Today, ElevenLabs is valued at $3.3 billion (approx. PLN 13.3 billion), and their speech synthesis tool is also available online.

ElevenLabs has created a mobile app (over one million downloads on Android) that enables users to listen to notes, PDF files, and other texts in a quality surpassing that of most available text-to-speech systems.

Although ElevenLabs is registered in the United States and operates globally, the company maintains strong ties with Poland. Its technological development is built on Polish specialists in AI, NLP, and speech synthesis. It enjoys considerable recognition in Poland’s technology community and regularly appears in industry media as an example of international success. According to unofficial reports, the startup is considering expanding its R&D center in Poland, appreciating the local talent and favorable business conditions.

Finance and Cybersecurity

How Is Artificial Intelligence Affecting Poland’s Financial Market?

Polish banking and tax administration are undergoing a rapid digital transformation. At the heart of these changes is artificial intelligence, which automates customer interactions, speeds up risk assessment, detects fraud, and supports identity verification. Alongside it, systems based on conventional automation are developing—mobile banking applications, payment platforms, and e-services—which create the infrastructure for implementing intelligent solutions. New technologies, such as BLIK, parcel lockers, and drones, drive the development of AI, while the development of artificial intelligence drives the development of other technologies.

The scale of the changes is enormous:

  • the number of bank branches in Poland has fallen by 35%,
  • employment in the sector has decreased by more than 40,000 positions,
  • as many as 80% of banking transactions now take place online.

IKO voice assistant at PKO BP, powered by an AI voicebot, has already conducted over one million conversations with customers. Other systems analyze behavioral and financial data for the automatic assessment of creditworthiness, offer personalization, and the instant detection of fraud attempts.

The tax authorities also use AI-powered tools:

  • The STIR system blocked suspicious transfers with a total value of PLN 180 million,
  • The Analysis Engine processes millions of documents annually to effectively detect tax fraud,
  • Kaspro, a virtual tax assistant, answers citizens’ questions 24/7.
  • It is also worth mentioning the e-Tax Office platform, which enables tax matters to be handled remotely and is an example of the continued digitalization of public services.

In turn, BLIK, although it does not directly use AI, is an example of effective IT automation. This Polish mobile payment system already processes over one billion transactions annually and accounts for 90% of transactions in Polish e-commerce, successfully competing with global giants such as Apple Pay and Google Pay.

Further on in the article, you will find an overview of specific companies—banks, fintechs, insurers, and public institutions—that are actually implementing AI and automation, changing the way Poland’s financial sector operates.

Authologic

A Warsaw-based startup creating an international identity verification platform, made available via an API. Its solution enables the verification of official identity documents, digital identity wallets, and bank identification numbers in a single system.

It is one of 17 startups from around the world participating in the Google for Startups: AI for Cybersecurity program.

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Nethone

Another Warsaw-based startup that developed an advanced machine-learning-based online fraud detection platform. Its technology analyzes users’ behavioral and biometric data, effectively blocking over 95% of unauthorized account access attempts and preventing e-commerce fraud. Thanks to its impressive effectiveness, the company was acquired by Mangopay, an international payment operator, in 2022, confirming the value of its solutions on the global market.

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Medicine and Biotechnology

Medicine is one of the most advanced fields when it comes to the use of artificial intelligence—including in Poland. Although this may not be obvious to the average patient, AI is already supporting doctors in diagnostics, image analysis, risk prediction, and even the automated development of treatment plans. What is more, the medical sector not only benefits from AI but is also becoming a driving force behind its development—especially where there is a need for rapid analysis of vast datasets and precise decision-making.

In Poland, there are companies developing their own AI tools for medicine. One example is Infermedica – a Wrocław-based company whose algorithms are used for preliminary diagnosis and patient triage, supporting both clinics and telemedicine platforms. Meanwhile, Labplus develops solutions for analyzing laboratory test results, while Deepflare focuses on AI applications in cancer research.

Hospitals and diagnostic facilities are increasingly testing tools for the automated analysis of X-rays and computed tomography scans. AI can not only identify concerning abnormalities but also estimate the risk of their progression, significantly accelerating the diagnostic process and enabling better management of medical staff.

Tools supporting the analysis of medical records, prediction of disease recurrence, assessment of treatment effectiveness, and selection of medications based on the patient’s genetic data are also evolving. Many of these solutions operate in the background—the patient may not even realize that the result they have just received was partially processed by an algorithm.

Artificial intelligence in medicine is therefore not a futuristic vision, but a practical technology that already supports Poland’s healthcare system today—and becomes more important with each passing year.

Infermedica

Previously mentioned in the section on the largest Polish companies developing AI, this Wrocław-based medical startup is developing an AI-powered system for preliminary diagnosis and patient triage. Its tools help doctors collect medical histories and assess symptoms, streamlining patient care.

Infermedica is now recognized as one of Poland’s most important AI-powered medtech companies.

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Molecule.one

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Molecule.one – A Warsaw-based bioinformatics company that uses generative artificial intelligence to design the chemical synthesis of new drugs. Molecule.one’s solution shortens the time required to develop molecules – the company has even partnered with the American Chemical Society (CAS) to accelerate the discovery of new therapies.

Deepflare

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DeepFlare – a Warsaw-based startup using AI and machine learning to accelerate the development of mRNA vaccines. DeepFlare’s technology automates sequence analysis and the vaccine design process, which could significantly shorten the time required to develop new preparations​

In 2020–2023, this company received a PLN 5.5 million grant (PLN 1.5 million from Poland and PLN 4 million from the EU) for research on COVID-19.

Labplus

Labplus – A young medtech company from Wrocław that uses artificial intelligence for laboratory diagnostics. Its platform automates and accelerates the analysis of diagnostic test results, streamlining the work of laboratories and healthcare services​.

AI Coalition in Healthcare

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A coalition bringing together physicians and creators of medical algorithms, drawing attention to the specific aspects of using AI in medicine. The coalition has developed, among other things, the “White Paper on AI in Clinical Practice,” which identifies challenges (e.g., data quality and responsibility for an incorrect diagnosis) and proposes solutions for implementing AI in healthcare.

I described them in greater detail later on, in the section on organizations promoting artificial intelligence.

Industry, robotics

Artificial intelligence is becoming a key element of Polish industry. It is entering factories, warehouses, power plants, processing facilities, and construction sites. Its main tasks are automating repetitive activities, optimizing processes, and predicting failures and delays.

In Polish manufacturing, AI manages quality, controls assembly lines, predicts failures, and reduces energy consumption. In logistics, it plans routes, optimizes inventory, and manages fleets in real time. On construction sites, it analyzes data from drones and 3D scans, comparing them with the schedule. In the energy sector, it forecasts demand and detects network anomalies, while in the chemical and food industries, it automatically adjusts production parameters.

AI also enhances safety—vision systems detect the absence of helmets and the presence of employees in risk zones. As a result, facilities become more efficient, safer, and more environmentally friendly.

All of this aligns with the principles of Industry 4.0—a stage of development in which intelligent machines, the Internet of Things, and real-time data analysis replace traditional forms of automation. Poland is increasingly venturing into this era, combining industrial expertise with modern technologies.

Nomagic

A Warsaw-based startup in the warehouse robotics sector, creating intelligent robots to automate logistics. Nomagic’s solutions use AI to recognize and manipulate objects—for example, the robots can identify a packaged product and independently place it in the correct location​. Kacper Nowicki’s company has become one of Poland’s leading robotics ventures, attracting e-commerce clients seeking order-picking automation.

AI Clearing

AI Clearing – a startup from Poznań offering a platform for autonomous monitoring of progress on construction sites. It uses AI algorithms to analyze photographs and drone scans, comparing them with construction plans. This allows it to detect delays or construction errors in real time, improving quality control in the construction industry.

Surveillance

Surveily – a Wrocław-based company developing a Computer Vision system for occupational health and safety (OHS). Its technology monitors video from industrial cameras to detect dangerous situations at facilities (e.g. failure to wear a helmet or entering a hazardous area) and prevent accidents.

Surveily aligns with the Industry 4.0 trend, where AI raises the standards of safety and automation.

NCBR – National Centre for Research and Development

I describe this in greater detail in the Institutions section.

Sales, Marketing and Customer Service

The use of AI in marketing and customer service goes far beyond chatbots alone—it includes advanced personalization, consumer behavior analysis, and the automation of all communication.

Synerise

A Krakow-based company that has become one of the largest Polish AI scale-ups. Synerise is developing an artificial intelligence-powered big data platform that supports the automation of marketing and sales in enterprises. Its tools can process vast amounts of customer data in an instant and generate personalized recommendations, making business decision-making easier. Jarosław Królewski’s company has reached a valuation of over €100 million, and the Financial Times recognized it as one of the fastest-growing AI companies in Europe.

Synerise

Cosmose.AI

The aforementioned global AI platform founded by a Pole (Miron Mironiuk) in 2014, focusing on analyzing customers’ purchasing behavior in brick-and-mortar stores. Cosmose combines anonymous geolocation data from smartphones with AI to help brands better understand consumers’ purchasing journeys and optimize their marketing strategies.

These solutions provide customers with more personalized shopping experiences while driving sales growth for retailers. Cosmose AI has achieved international success—the company operates in Asian markets and collaborates with giants such as LVMH and L’Oréal, with its value estimated at approximately PLN 2 billion. I described it in more detail earlier, in the section on the largest Polish AI-based companies.

Tidio

A startup from Szczecin offering an intelligent customer service chatbot for e-commerce and websites. Tidio combines live chat with AI, automating responses to customers’ most common questions. Its popularity is confirmed by major investments—in 2022, the company raised PLN 109 million in funding for development, making it one of the best-funded Polish AI startups.

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Voice Lab

VoiceLab (TRURL project) – a Gdańsk-based company specializing in speech technologies and NLP (natural language processing).

SentiOne

(Gdańsk/Warsaw) An example of a Polish startup developing voicebots and internet monitoring tools using AI. The SentiOne platform automatically tracks brand mentions on social media and online portals and enables customer service through chatbots. Although no specific data is cited here, SentiOne is considered one of Europe’s leaders in customer service AI, and its solutions are used by many large companies to improve communication with customers. (SentiOne confirms the trend that, alongside Tidio, other Polish companies are also achieving global success in AI for customer service.)

Other Companies Developing AI in Poland

Adepto

Addepto, which grew from small implementations for local companies into a global AI consulting firm. It delivered projects as diverse as a system for locating lost luggage at airports and algorithms controlling the visual effects of the impressive MSG Sphere LED sphere in Las Vegas.

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Large Polish companies that have successfully implemented AI

PKO BP

IKO voice assistant launched at PKO Bank Polski. This virtual advisor, operating in the bank’s mobile app, understands natural language and can, among other things, answer questions, submit applications, and make transfers by voice. Implemented in 2020, it has already held over one million conversations with customers—many of whom rated this form of contact positively. It is one of the largest AI implementations of its kind in European retail banking.

Allegro.pl (not to be confused with Allegro.io)

Allegro has a highly developed recommendation system based on artificial intelligence. However, it is important to note the Israeli company Allegro.io, which is a separate entity. ChatGPT is unaware of this and confuses the two. Additionally, as one of its sources, it cites the search results for products matching “artificial intelligence book” on Allegro.

Żabka (Żabka nano )

You enter the store, reach for your favorite drink and sandwich, and then… simply walk out. No queue, no checkout, no scanning products. This is not a scene from a futuristic film, but everyday life at Żabka Nano – the smallest autonomous stores in Poland, powered by artificial intelligence.

Żabka Nano is a true laboratory of modern retail. The store has no cashiers, and the entire shopping process is based on technology. Upon entering the store, the system identifies the customer using the Żappka app or a payment card. Cameras and sensors record which products are placed in the bag, while intelligent algorithms assign them to the respective user. Payment is collected automatically after leaving the store.

The entire solution is based on computer vision, machine learning, and behavior analysis technologies. The cameras do not recognize faces; instead, they analyze movements and gestures, ensuring that the system remains compliant with personal data protection regulations. The result? Shopping becomes fast, convenient, and—most importantly—intuitive. You simply take what you want and leave.

But Żabka is not stopping at futuristic Nano stores. Artificial intelligence is permeating more and more areas of the chain’s operations.

Personalization and Recommendations in the Żappka App

Żappka is now much more than just a loyalty program. Thanks to integration with AI systems, the app:

  • analyzes each user’s purchase history,
  • segments customers based on their habits and preferences,
  • creates dynamic offers and promotions tailored to individual needs,
  • suggests products at a specific time and in a specific context (e.g., weather, location).

As a result, users feel “understood,” and the offers are genuinely useful—for example, a promotion on an isotonic drink after a workout or a snack for a weekend evening.

All of this works thanks to machine learning algorithms, which predict customers’ behaviors and decisions based on large datasets.

Not Just Żabka Nano

Although Żabka Nano autonomous stores most often attract attention, artificial intelligence is the foundation of a much broader digital transformation across the entire Żabka network—from personalization and supply chain management to advanced predictive analytics.

One of the key areas where AI is used is the Żappka app, where machine learning algorithms analyze purchase history, location, user preferences, seasonality, and weather. This makes it possible to generate dynamic personalized offers tailored to a specific moment and shopping context. This is an example of a customer data platform (CDP) implementation in practice.

Behind the scenes, a powerful inventory optimization system based on AI forecasts is at work. The algorithms analyze data from thousands of locations, predicting demand in advance while taking into account factors such as local events, social trends, and historical data. This helps reduce waste and improve product availability, while also supporting sustainable development (less waste and lower energy consumption).

Artificial intelligence also supports merchandising automation. Thanks to systems based on computer vision and sales analysis, a dynamic planogram is created—an optimal arrangement of products in the store that changes depending on the season, location, or product turnover.

In the area of customer service, voicebots and NLP chatbots are being implemented that can recognize user intents, answer questions in natural language, and independently resolve the most common issues. As a result, customer service is not only faster but also more scalable—regardless of the time of day or the number of requests. The bots operate based on NLP (Natural Language Processing) models that continuously learn new expressions and respond to changes in customer behavior.

At the same time, sentiment analysis monitoring systems scan social media, Google Maps reviews, App Store reviews, and internal forms to identify crises, declines in satisfaction, or consumer trends in real time. This allows the company to respond swiftly to local issues and enhance the customer experience where it is truly needed.

At the strategic level, Żabka uses AI for predictive and prescriptive analytics. Machine learning models support decisions regarding the opening of new sales outlets (analysis of demographic and mobility data), the assessment of marketing campaign effectiveness (e.g. real-time A/B testing), and the optimization of human resources (e.g. AI-driven workforce management).

An important link in this transformation is also the integration of AI with IoT systems—temperature sensors in cold storage rooms and in-store traffic analyzers transmit data in real time to central systems. This enables AI to detect anomalies, predict equipment failures, and trigger alerts before losses occur.

Many of these solutions are the responsibility of Żabka Future—the company’s development unit, which collaborates with technology partners (such as Synerise, AiFi, Microsoft, and retailtech startups) and tests new implementations through pilot programs. The goal is not only automation, but also the creation of scalable, self-sustaining ecosystems of data and services.

Inpost

For several years, InPost has consistently demonstrated that modern logistics cannot exist without modern technologies. But what truly sets the company apart from its competitors is not only the number of Parcel Lockers® or the speed of deliveries. It is the way InPost boldly and consciously entered the world of artificial intelligence—before it became fashionable.

They were the first not to be afraid to say out loud: “We’re looking for AI specialists”

While most companies were still wondering whether AI was a passing trend or a lasting paradigm shift, InPost was already publishing job postings for people specializing in “conversations with AI,” including ChatGPT. This was not recruitment based on the premise of “it might come in handy,” but a very concrete and forward-looking initiative. The company understood that the ability to construct effective prompts, understand the context of conversations with a language model, and use generative AI to automate customer interactions represented a real business advantage.

Automation with a Human Touch: Paczucha and Mat

The result of this strategy is innovative tools that support customers. The “Paczucha” chatbot, operating among others in Messenger, is an example of a well-designed AI-based system that allows users to track shipments, send parcels, and locate InPost Lockers without human contact—but in a friendly, intuitive, and responsive format.

Alongside Paczucha, there is also a voicebot named Mat, which handles calls to the helpline and can not only understand customers’ questions but also provide accurate answers or direct the conversation appropriately. As a result, customers receive assistance more quickly, while helpline employees can focus on more complex matters.

Artificial intelligence operating behind the scenes

In addition to its visible AI tools, InPost also uses intelligent algorithms “behind the scenes.” Data analysis models help the company plan delivery routes, analyze customer feedback, and even decide where new Parcel Lockers should be installed. Thanks to AI, InPost can grow dynamically while maintaining a high quality of service.

It is also important that the company does not stop at one-off implementations—it continually develops its artificial intelligence capabilities, not only by hiring specialists but also by integrating AI into its day-to-day operational processes.

A Strategy That Pays Off

InPost’s moves are thoughtful and far-reaching. Thanks to its early investment in AI capabilities, the company now has a real advantage—not only in technology, but also in an organizational culture that understands and supports innovation. This is an example of how technology can serve the customer, rather than the other way around.

In a world where more and more companies are “experimenting” with AI, InPost is one of those that moved beyond the experimentation phase to real, scalable implementation long ago. And it looks like they are only just getting started.

Foundations and Associations

SpeakLeash (Bielik)

There is something beautiful about the fact that, in a world dominated by large and often closed language models, an initiative so open, sincere, and simply ours is emerging. SpeakLeash is a project created by enthusiasts of language, technology, and freedom. Without the support of large corporations, but with tremendous dedication to building something shared—a language model for Polish based on transparent and legally obtained data. It was from this community that Bielik was born: a large language model that takes on the challenges of our difficult and rich language. This is not only a technological project but also a social one, because anyone can help, test it, and contribute to its development. It is an example of modern technology that grows from the grassroots and truly matters.

Beyond the model itself, what matters most here is the vast community of enthusiasts and specialists involved in the project; Bielik has an active Discord server with several thousand members (and it is more useful than Facebook groups about artificial intelligence, which have several hundred thousand members).

The Bielik language model is available in the NVIDIA NGC catalog (NVIDIA AI Foundation Models) as part of the NVIDIA NIM (NVIDIA Inference Microservices) platform. More specifically, the Bielik-11B-v2.3-Instruct version was published on May 28, 2025.

It is worth noting that although the model is hosted on the NVIDIA platform, it was developed independently by the open-source community and made available under the Apache 2.0 license, allowing it to be freely used in both commercial and non-commercial projects.

Why are such initiatives extremely important?

Let’s be realistic—there’s little chance that a language model created by specialist enthusiasts with a budget of a few thousand from Patronite will be better than ChatGPT, created by corporations with servers and millions of dollars at their disposal. Although the example of DeepSeek shows that such a chance always exists.

However, every alternative has its purpose (e.g., in the event of a ChatGPT outage). But proprietary models offer a real advantage when they are not used as standalone text-writing programs, but rather power specific programs designed for specific purposes. This refers to all integrations, namely APIs.

For example, a program designed to search for useful topics in books from a specific library or across all Polish literature does not need to use the latest models based on multistep reasoning. Since it is designed for a specific task, which “engine” it uses is much less important.

A language model created from scratch can be much easier to customize than a solution offered by an external company, while also operating faster and at a lower cost.

PLLum Project

When mentioning Bielik, it is also worth drawing attention to the PLLuM project (Polish Large Language Universal Model), which received significant financial support from the Ministry of Digital Affairs. In 2024, PLN 14.5 million was allocated to its development, and a further PLN 19 million was secured for 2025. These funds are intended not only to continue work on the model, but also to implement it in public administration and expand cooperation with new partners, such as the Central Information Technology Centre and the Cyfronet AGH Academic Computer Centre.

Initially, the project was carried out by a consortium comprising six Polish scientific institutions: Wrocław University of Science and Technology (the leader), the Institute of Computer Science of the Polish Academy of Sciences, the Institute of Slavic Studies of the Polish Academy of Sciences, NASK-PIB, the Information Processing Centre (OPI-PIB), and the University of Łódź. Currently, as part of the newly established HIVE consortium, NASK-PIB has become the project leader, and the Central Information Technology Centre and Cyfronet AGH have joined the collaboration.

PLLuM is currently used in public institutions (e.g., libraries), and there are also plans to integrate it with tax portals. Additionally, Comarch has declared its intention to use PLLuM in its software.

Digital Poland Foundation

The Digital Poland Foundation has launched the AI Poland project, aimed at promoting Polish achievements in artificial intelligence and integrating the community. As part of AI Poland, a map of Poland’s AI ecosystem, industry reports, and thematic events are being developed and organized.

The most useful report: State of Warsaw AI 2024, as well as State of Polish AI (2021)

Warsaw.ai

This is probably the first local community of AI enthusiasts in Poland. It organizes regular meetups in Warsaw, where AI practitioners share their experience, present projects, and establish collaborations. Other cities followed suit—today, AI meetups are also held in Kraków, Wrocław, and the Tricity, bringing together a growing community of data scientists and machine learning engineers.

Home

Kraków meet-up

Artificial Intelligence Krakow is one of the largest AI communities in Krakow, bringing together more than 2,150 members interested in artificial intelligence and its impact on our lives. The group was founded by Krzysztof Podkanowicz and two other organizers, with the aim of creating a space for exchanging knowledge, experiences, and inspiration related to AI.Meetup+7

https://www.meetup.com/pl-PL/krakow-artificial-intelligence-meetup

Digital University

The Digital University Foundation, established in 2014 by Jowita Michalska, focuses on education in digital transformation, new technologies, and the skills of the future. It runs programs such as Be.Eco (ecology and sustainable development), Be.Net (modern technologies and AI), and University of Success (support for women in difficult circumstances). It is part of Silicon Valley’s Singularity Group and supports the development of leaders and society in the digital age.

AI Chamber – Artificial Intelligence Chamber (AI Chamber)

AI Chamber (Izba AI) is an organization bringing together startups, companies, and NGOs from the AI sector in Poland and the CEE region. It supports the development of AI, the implementation of technology in business, and represents its members in dialogue with institutions. Among other things, it created the report: THE ROLE OF AI IN SMEs — AI CHAMBER REPORT 2024

They can also be classified as institutions, but due to the way they operate, they are closer to foundations.

Women in AI Poland:

The Polish community within the global Women in AI initiative, bringing together women working in the field of artificial intelligence. It organizes workshops, mentoring, and research projects, promoting diversity in the technology industry. The HearAI project (a digital sign language translator) is one example of the group’s achievements—it demonstrated the practical application of AI for marginalized groups and gained recognition as an innovation with significant social potential.

AI in Healthcare

The AI in Healthcare Coalition is an initiative bringing together leaders from the medical and technology industries, as well as academic institutions, with the aim of shaping the policy for the development of artificial intelligence in the Polish healthcare system. Its primary objective is to create an environment enabling the rapid and widespread use of the latest AI advances in medicine. Among other activities, the Coalition organizes the international “AI & MEDTECH CEE” conference, one of the largest events in Central and Eastern Europe dedicated to healthcare innovation.

One of the Coalition’s key projects is the development of the “White Paper on AI in Clinical Practice.” This document, the result of several months of work by experts from various fields, aims to identify the most important questions and concerns related to the everyday use of AI in medicine. The White Paper provides practical guidance on the possibilities and limitations of AI in healthcare, the legal aspects of its use, and its impact on patient rights. It also serves as a response to the lack of appropriate legal regulations in Poland and the European Union concerning the use of AI in medicine. It is also a fine example of how the market creates and enforces useful principles from the ground up.

AI Tinkers Warsaw

An international organization bringing together AI specialists and enthusiasts. They have a branch in Warsaw. Their sponsors include just join IT and Pack Help.

Institutions

Information Processing Centre

It falls under the Ministry of Education and Higher Education

The Information Processing Centre –National Research Institute (OPI PIB)is a research institution developing information systems and analyses for science, higher education and public administration. It is supervised by the Ministry of Science. It specialises in AI, big data and the digitalisation of public services, supporting data-driven decision-making.

Ministry of Development Funds and Regional Policies

The Ministry of Funds and Regional Policy (MFiPR) is involved in a broad range of activities—from coordinating EU funds and supporting regional development to shaping cohesion policies and infrastructure investments. Artificial intelligence is not the main focus of its activities, but it represents one of many thematic areas, aligning with broader objectives related to innovation, digitalization, and economic development.

In the context of AI, MFiPR supports:

  • research and development projects and digital innovations (mainly through EU funds, e.g. FENG),
  • development of digital skills and data infrastructure,
  • creating a supportive environment for AI adoption at the regional and national levels.

Thanks to this, although AI is not a central pillar of the ministry’s activities, the Ministry plays an important role in creating the conditions for its development in Poland.

National Science Centre

The National Science Centre(NCN) is a government institution responsible for funding basic research in Poland. Its main objective is to support high-quality research projects carried out by universities, research institutes, and individual scientists.

Scope of activities:

  • funding basic research, that is, research that expands knowledge but has no direct practical application,
  • announcing calls for proposals for research projects (e.g. OPUS, PRELUDIUM, SONATA, MAESTRO),
  • supporting young researchers and international mobility,
  • international cooperation – e.g. joint programmes with institutions from Germany, France, Switzerland or the USA.

In the context of AI:

Although the NCN does not focus directly on technology implementation, it actively supports basic research on artificial intelligence, including algorithms, machine learning theory, cognitive science, natural language analysis, and AI ethics. Thanks to NCN funding, the foundations of knowledge are being developed, which over time may be applied in practice, including by industry and the public sector.

2011–2023

  • 29,584 funded projects
  • 21,111 awardees
  • PLN 15.69 billion in funding awarded
  • 55,988 applicants

Artificial Intelligence Working Group (GRAI)

The Working Group on Artificial Intelligence (GRAI) is an advisory body operating under the Ministry of Digital Affairs, bringing together experts from government, academia, and business. Its aim is to support the state in shaping AI development policy in Poland, including through legislative, strategic, and ethical recommendations.

The group deals with:

  • analysis of trends and challenges related to AI,
  • providing opinions on draft legislation and digital strategies,
  • developing recommendations for public administration and the private sector.

It serves as a platform for cross-sector dialogue, whose task is to ensure that the development of artificial intelligence in Poland takes place in a responsible, safe manner and in the public interest.

National Smart Specializations

National Smart Specialisations (NSS) are strategic development areas of the Polish economy that concentrate investment in research and innovation. Their aim is to increase the country’s competitiveness by supporting fields with the greatest market potential. Currently, 13 specialisations have been identified, including health, agriculture, energy, ICT and automation.

Artificial intelligence is emerging in several key specialties:

  • KIS 10 – Information and Communication Technologies AI in diagnostic systems, data analysis, simulations, and decision-support systems.
  • KIS 11 – Automation and Robotics The use of AI to optimize production processes, digital twins, and expert systems.
  • KIS 1 – Healthy Society AI in tools for analyzing medical data and supporting clinical decision-making.

The KIS is not only a direction for technological development in Poland, but also a practical roadmap for companies interested in AI—it indicates where it is worth investing to obtain public support and gain a competitive advantage.

https://www.gov.pl/web/rozwoj-technologia/krajowe-inteligentne-specjalizacje

https://krajoweinteligentnespecjalizacje.pl

NCBR (National Centre for Research and Development)

NCBR is a Polish government agency supporting innovation, scientific research, and technological development. It is subordinate to the Ministry of Funds and Regional Policy.

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Main tasks of the National Centre for Research and Development:

  • financing R&D (research and development) projects carried out by companies, universities, and institutes,
  • supporting cooperation between academia and business,
  • managing EU and national funds for innovation,
  • developing human resources for a knowledge-based economy.

Key programs:

  • Fast Track – fast grants for companies’ innovative projects,
  • BRIdge – support for the commercialization of research,
  • IDEAS NCBR – a subsidiary focused on AI and the digital economy. Piotr Sankowski works there

Meaning:

NCBR is the main source of public funding for innovation in Poland – it acts as a bridge between scientists and entrepreneurs, accelerating the implementation of new technologies in the economy.

Consortium for Innovation (Created Plluma)

The PLLuM Consortium (Polish Large Language Universal Model) is an initiative of six leading Polish scientific institutions aimed at creating an open, advanced language model for the Polish language. This project supports the development of artificial intelligence in Poland, with an emphasis on applications in public administration, business, and education.

PLLuM Consortium Members

The consortium comprises:

  • Wrocław University of Science and Technology – project leader
  • NASK – National Research Institute
  • Information Processing Centre – National Research Institute (OPI PIB)
  • Institute of Computer Science of the Polish Academy of Sciences (IPI PAN)
  • Institute of Slavic Studies of the Polish Academy of Sciences
  • University of Łódź

Each of these institutions brings unique expertise in areas such as natural language processing, computational linguistics, computing infrastructure, and AI ethics.

Supporting Partners

The PLLuM project also benefits from the support of numerous partners from the public and private sectors, including publishers, technology companies, and social organizations that have provided textual data and expert knowledge.

Objectives and Significance

The consortium’s objective is to create an open Polish-language language model that will be available to all interested parties. The model is intended to support the development of innovative solutions in public administration, education, and the private sector, contributing to the digitalization of services and enhancing the competitiveness of the Polish economy.

Thanks to the cooperation among these institutions, PLLuM provides a foundation for the development of modern language technologies in Poland, promoting openness, accessibility, and an ethical approach to artificial intelligence.

Organizations that supported the PLLuM project

ACK Cyfronet AGH Agora Brzęszczychrząszcz (blog) bstok.pl CNH Polska Czajnikowy (blog) Gość Niedzielny GWP (Gdańskie Wydawnictwo Psychologiczne) InsERT Northern Institute Itamar Logos Media | Publishing House of Wrocław University of Science and Technology Petronews Polish Tourist Organization Promohistoria/Histmag REALGAR (blog) SmartNet Research & Solutions sp. z o.o. Association of Health Resort Municipalities of the Republic of Poland TEMPUS CONSULTING | Września News Esprit Publishing House KEW Publishing House (Publishing Group: Jan Nowak-Jeziorański College of Eastern Europe in Wrocław) Nautica Publishing HouseBartosz Gayer Society of Friends of the Polish Language Pasieka Publishing House Vege Publishing House |

This model is used in various public institutions; additionally, Comarch has implemented it internally. This model has been integrated with the ChatERP application, which serves as an intelligent user assistant in ERP systems.

Comarch conducted comparative tests of various AI models, both those dedicated to the Polish language and multilingual ones, and ultimately selected PLLuM as the most effective solution. Implementing PLLuM in the ChatERP application enables users of Comarch ERP systems to navigate the interface more efficiently, automate repetitive tasks, and generate natural-sounding responses in Polish.

An ERP system (short for Enterprise Resource Planning) is integrated software that supports the management of all key areas of a company’s operations. Its main goal is to standardize data and processes within a single shared platform, enabling the company to operate more efficiently, respond quickly to changes, and avoid information chaos.

PARP – Agency for Enterprise Development

PARP is a public institution that supports the development of companies in Poland, particularly those in the SME sector. Its main goal is to facilitate entrepreneurs’ access to the funding, knowledge, and tools they need to grow. PARP offers, among other things, grants, training, support for internationalizing business activities, and promotes innovation and digitalization.

One of the key areas of activity for the Polish Agency for Enterprise Development (PARP) in recent years has been artificial intelligence. The Agency actively promotes its use in business—both by co-financing AI implementations and by creating opportunities for knowledge sharing. Among other initiatives, it launched the Artificial Intelligence Platform, where entrepreneurs can find examples of applications, technology providers, and practical guides. PARP also organizes webinars, publishes reports on the state of AI in Poland, and supports the development of digital skills, helping companies understand how to effectively harness the potential of new technologies.

Selected conferences on artificial intelligence in Poland.

AI in Action January 30, 2025, Warsaw

Presentations and workshops exploring generative artificial intelligence in Poland, its impact on the economy and labor market, and its applications in marketing and education.

AI Made in Poland 2025

A conference addressing key aspects of AI development in Poland and worldwide, including Polish solutions such as Bielik, AI applications across various sectors, and legal and ethical issues.

An event focused on mobile technology, marketing, business, and artificial intelligence, offering talks, workshops, and networking sessions.

AI & MEDTECH CEE 10 June Warsaw

AI & MEDTECH CEE is the largest conference in Central and Eastern Europe dedicated to AI and healthcare innovation, organized by the AI in Healthcare Coalition. It brings together medical and technology experts as well as investors to discuss the implementation of modern technologies in healthcare.

Key information:

  • Last edition: June 11, 2024, Warsaw, Crowne Plaza (500 on-site participants, 1,000 online).
  • Next edition: June 10, 2025, Warsaw.
  • Topics: AI in medicine, digital health, pharmaceuticals, diagnostics.

This is a crucial event for leaders in the medical and technology industries.

Master & Robots – October 21–22, Warsaw

The aforementioned conference, organized by Digital University, has become one of the most important technology events in Poland. It brings outstanding experts from around the world—scientists, startup founders, and futurists—to Warsaw, where they share the latest knowledge about AI, robotics, and transhumanism. Thanks to such events, Polish audiences gain access to global trends, while local companies can establish connections with international gurus of new technologies.

Aisummitpoland – 14 October 2025 Warsaw

https://aisummitpoland.pl

POZN AI 2023

https://cdv.pl/wydarzenia/konferencja/poznai-2023-nauka-biznes-bezpieczenstwo-futurologia

This is not a recurring event.

The PoznAI project focuses on the development of artificial intelligence (AI) in various aspects of life, such as education, science, business, and interpersonal relationships. Its goal is to share the latest research, achievements, innovations, and practical applications of AI that affect our daily lives.

As part of this project, events such as seminars and conferences are organized to address important issues related to artificial intelligence. One example is the “PoznAI: Education in the Face of Artificial Intelligence” seminar, aimed at teachers and school principals, during which research findings on the impact of AI tools on the education process were presented and the attitudes of pupils, students, teachers, and business representatives toward AI in education were discussed. ​

Another event was the “PoznAI 2023: Science, Business, Security, Futurology” conference, held on October 26, 2023, at Collegium Da Vinci in Poznań. During the meeting, participants had the opportunity to learn about the concerns associated with the development of AI, as well as the benefits and challenges involved in its implementation across various sectors.

Technological bridge (FOR)

28 March, Warsaw) 14:30–18:00 Wolność community center

TechnoLogic Bridge is an interdisciplinary conference organized by FOR, We Are Innovation, Students For Liberty Poland, and WEI, bringing together the startup, academic, and freedom-oriented communities. The event brought together experts from Poland and Ukraine to discuss migration, international cooperation, and AI.

Main Panels

  • From Borders to Business: The Migration Effect A discussion on the impact of migration on innovation and the economy. Speakers: Mariya Nebozhenko, Peter Strupp, Piotr Oliński Moderator: Błażej Szkudlarek (Students For Liberty Poland)
  • Polish-Ukrainian Business Cooperation Opportunities for cooperation between startups from both countries. Speakers: Vladislav Ivanov, Łukasz Wawak Moderator: Tania Rak
  • AI’s Ethical and Economic Journey The ethical and economic consequences of the development of artificial intelligence. Speakers: Nafis Faysal, Ahmad Piraiee, Igor Lyubashenko, Natalia Nogacka Moderator: Jakub Bilski

Admission was free, and recordings are available on YouTube.

Projects

AI Schools & Academy

AI Schools & Academy is an educational program supporting the teaching of artificial intelligence in Polish schools. The initiative was launched by Jarosław Królewski (CEO of Synerise), with partners including Microsoft, EY, PZU, and Żabka. The program offers free AI and programming classes, with plans to reach 1,500 institutions. Its goal is to enhance the skills of students and teachers and prepare young people for the job market of the future.

Ai Labs

The pilot artificial intelligence (AI) laboratory program, implemented by the Ministry of National Education and Intel in cooperation with Dell, Lenovo, HP, and Microsoft, aims to introduce AI into Polish schools. The project includes a series of training sessions, a set of teaching materials, and equipping schools with modern hardware and software.

AI Labs have been established in six cities: Toruń, Niepołomice, Gdynia, Wschowa, Białystok, and Poniatów.

AI4Youth (2021) Currently inactive

A program developed by Intel, designed to introduce students to the world of AI. Participants learn how artificial intelligence and algorithms work, preparing them for future challenges in the job market. The program is implemented in cooperation with the Ministry of Development and Technology.

https://ai4youth.edu.pl/ They have a nice, useful website.

Be.net – schools of the future

To date, 105,971 students and 2,271 teachers from 857 schools have participated in the program’s four editions. You can join Be.Net at any time during the school year. Active participation enables you to earn the Future Teacher Certificate, confirmed by a certificate of enhanced professional qualifications.

Online Workbook – Intelligent Mathematics

An online tool that helps primary school students learn mathematics. “Online Notebook” is a browser-based platform that personalizes learning using AI. The system diagnoses the student’s difficulties and adapts tasks to their level. As the student progresses, the difficulty of the exercises increases. The program has been used in schools since 2018, and teachers receive training to effectively support students.

The program, worth PLN 6 million, will cover 50,000 students in grades 4–6. In 2024, the Ministry of National Education will allocate PLN 1.6 million for this purpose, and in 2025 PLN 4.4 million.

https://zeszyt.online

AI Skills Navigator (Polish Digital Valley)

Microsoft has launched a training initiative in Poland aimed at training one million people in AI by the end of 2025. The program continues the development of the Polish Digital Valley, as part of which 430,000 specialists have already been trained and the Azure Poland Central region has been launched.

Free courses are available on Microsoft AI Skills Navigator in Polish, with universities, NGOs, and technical communities helping deliver them. The platform offers more than 200 courses, including content from LinkedIn Learning, Microsoft Learn, and GitHub, as well as an AI assistant for personalizing the learning path.

Skills of Tomorrow (Google)

The Skills of Tomorrow Program is an initiative by Google and SGH, supported by the Digital Poland Foundation, aimed at developing digital and AI skills in Poland. It offers free online training sessions and webinars for small and medium-sized enterprises, students, and professionals. The program includes more than 20 hours of practical classes, focusing on the use of AI in business, marketing, and analytics. Participants can earn a Google and SGH certificate, and the training is available on a dedicated educational platform.

The program started in January 2025, lasted 5 weeks, and registration was required.

The program launched in January 2025 and lasted five weeks; participation required prior registration.

Ai_Managers

https://www.linkedin.com/company/aimanagers/posts/?feedView=all

The latest AI course for managers, led by Krzysztof Wojewodzic, Bartek Pucek, and 10+ amazing guests.

Ai_devs

https://www.linkedin.com/company/aidevs-course

AI_devs is a community and a series of online courses created by Mateusz Biliński, known for his previous educational projects and work in the fields of machine learning and natural language processing. The project gained popularity thanks to its unconventional approach—it focuses on practice, experimentation, and independence, rather than passively watching video lessons.

AI_devs is not a traditional course, but rather a challenge based on programming tasks, often conducted in real time and requiring advanced knowledge of AI and prompt engineering.

Prominent Figures in the Polish AI Scene

Wojciech Zaremba

Co-founder and one of the leading researchers at OpenAI in the USA. As the only Pole among OpenAI’s founders, Zaremba played a key role in the creation of the GPT model and the ChatGPT project. A group of outstanding Polish engineers also works at OpenAI alongside him, including Jakub Pachocki, Szymon Sidor, and Łukasz Kaiser—often jokingly referred to as the “Polish contingent” at OpenAI​

Sidor was one of the main researchers behind GPT-4, while Kaiser co-created earlier groundbreaking translation models (the Transformer at Google Brain). This strong presence of Poles at a top AI research institution is a source of pride for the country’s community.

Wojciech Zaremba

Jack Krawczyk

A Google manager in the USA, originally from Wrocław, led the development of Project Bard—Google’s language model competing with ChatGPT (which later evolved into Project Gemini). Krawczyk had previously worked on other innovations in Silicon Valley (including developing Google+ and technologies at WeWork). His position makes him one of the most recognizable people of Polish origin in the world of big tech and AI.

Prof. Aleksandra Przegalińska

A Polish researcher specializing in the social aspects of AI and artificial intelligence in management. She conducts academic research, among other institutions, at Kozminski University in Warsaw and as a visiting scholar at MIT. She is the author of numerous publications on human–AI interaction, and her book co-authored with Professor Dariusz Jemielniak (Cambridge University Press) analyzes the use of AI in organizations. Przegalińska frequently speaks publicly, popularizing knowledge about AI and algorithmic ethics.

Piotr Orzechowski

Co-founder and CEO of the Wrocław-based company Infermedica. He leads a team developing an AI platform that assists doctors in interviewing patients and making preliminary diagnoses based on symptoms.

Orzechowski and Infermedica are symbols of the success of Polish AI in medicine—the company serves clients in several dozen countries, and renowned funds (e.g. the European Bank for Reconstruction and Development) have invested in its development.

Jarosław Królewski

Technology entrepreneur, CEO and co-founder of Synerise. Known for connecting the worlds of science, business and education—he initiated the AI Schools & Academy program in Polish schools to teach children the fundamentals of artificial intelligence​

Under his leadership, Synerise grew into a global Big Data/AI company, and Królewski became one of the “faces” of Poland’s AI industry, often commenting on its development in the media.

Mirosław Mironiuk

Miron Mironiuk – Founder of Cosmose AI. After graduating in Wrocław, he built a successful company in Asia, connecting the talent of Polish programmers with the Chinese market.

Under his leadership, Cosmose achieved a billion-dollar valuation, and Mironiuk is an example of a young Polish tech entrepreneur who leveraged AI in the retail industry and became a global leader.

Piotr Sankowski

Piotr Sankowski is one of Poland’s leading researchers in the fields of artificial intelligence and algorithms. A professor at the University of Warsaw, he is the co-founder and president of IDEAS NCBR—a research and development center focused on AI. His work focuses on graph algorithms, complexity theory, and practical applications of AI in industry and science.

  • promotes the development of explainable algorithms, i.e. algorithms that enable a better understanding of decisions made by machine learning models;
  • is committed to bridging science and business, supporting the commercialization of AI solutions;
  • as the leader of IDEAS NCBR, focuses on developing national AI expertise and building research teams in Poland;
  • collaborates with companies and institutions to implement AI in real-world applications (e.g. industry, finance, security).

He is the recipient of numerous prestigious grants, including ERC (European Research Council), which attests to the world-class level of his research. He made a significant contribution to the development of the Pllum model.

Reports

About Reports

General Information About Reports

I am writing the following comments from the perspective of a layperson who wanted to get into the subject fairly quickly.

  • No date Reports often do not contain clearly indicated dates, either on the title page, in the headings, or in the description. This makes it difficult to organize them and refer to specific versions later.
  • No summary There is no brief summary at the beginning of the document explaining what the report concerns and what its main findings are. Such an overview would make it much easier to understand the material and assess its usefulness without having to read the entire document.
  • PDFs and accessibility for AI Reports are published exclusively in PDF format, which prevents them from being effectively processed by artificial intelligence–based tools. I understand that not everyone wants to make the full content of a report publicly available, but it might be worth considering publishing at least excerpts—such as the aforementioned summary or the key findings—in a text format, which would significantly increase their accessibility and usefulness.

General information about AI reports (a matter of timing)

General Information on AI Reports (Time Perspective)

The premiere of ChatGPT-3 took place at the end of 2022. This means that reports published before 2023 often do not contain key information, especially if we are interested in the broader impact of artificial intelligence on business and society.

This does not mean, however, that older reports are worthless. They can still be useful, particularly in the context of quantitative data, such as the number of scientific publications in the field of AI or statistics on specialists in individual countries. Such information can help us better understand current events. For example, DeepSeek’s sudden success should not have come as such a surprise. For many years, China has ranked second in the world in terms of the number of scientific publications devoted to artificial intelligence. Although DeepSeek’s success is still impressive, from the perspective of historical data it is more predictable than it might seem.

It is also worth remembering that before 2023, artificial intelligence was primarily the domain of specialists and enthusiasts. To be sure, average users also came into contact with AI, for example in search engines, recommendation algorithms, or voice assistants; however, these were so-called narrow AI systems that operated in the background and were used much like ordinary applications. It was only the emergence of advanced language models that brought about a breakthrough in how artificial intelligence was perceived and used by society at large.

A Broader Perspective

When analyzing the development of artificial intelligence, one can focus on several key areas. The first is AI itself—its mechanisms, models, and implementations of machine learning in companies. It is also worth examining the deployment of tools such as ChatGPT and other solutions based on language models, as well as the activities of companies that create and develop artificial intelligence models.

At the same time, analyzing the factors supporting AI development is of immense value. These include, among others:

  • IT and technology companies that create tools, infrastructure, and software supporting machine learning
  • Technology hubs and clusters—in addition to data centers and R&D, factors such as quality of life in a given city, transportation, and even open-space restaurants are important here.
  • Scientists developing the theory and practice of AI, whose work forms the foundation of progress
  • Energy infrastructure that enables energy-intensive models and data centers to operate
  • Fast and stable Internet, essential for deploying AI applications in real time
  • Data centers, servers, and cloud computing, which form the foundation of the infrastructure for large models
  • Legal regulations
  • Industry 4.0, which integrates AI with automation, IoT, and process digitalization
  • New technologies, such as drones, robotics, and space exploration, which both benefit from AI and contribute to its development

Only a comprehensive perspective, encompassing both the algorithms themselves and the ecosystem that enables their creation and implementation, allows us to fully understand the pace and directions of artificial intelligence development.

Two Types of Reports

Reading various reports, I began to notice certain mechanisms governing this market. Put simply, two main types of reports on artificial intelligence can be distinguished.

The first type is analytical reports, meaning studies based on hard data. The authors collect information such as the number of companies involved in AI, their founding dates, scope of activities, and location. These types of reports are solid, substantive, and constitute a valuable source of knowledge.

The second type is the so-called “survey reports,” that is, reports based on opinion polls. They involve asking a selected group of people—usually business owners or managers—questions about their perceptions of and feelings toward artificial intelligence. Such studies are often created more for image-building purposes than for analytical ones—they allow a given analytics company to boast that it has also “produced a report on AI.”

The problem with “survey-based studies” is that the research sample is often not very representative. They frequently involve people who are inherently interested in artificial intelligence—for example, those who follow the activities of the organization producing the report. As a result, the findings may be skewed and fail to reflect the actual sentiment or level of AI adoption across the broader market.

In my opinion, the main reports on artificial intelligence in Poland are:

  • State of Warsaw AI (2024)
  • AI in SMEs: The Role of AI (2024)
  • State of Polish AI (2021)

Other documents worth knowing are:

Moreover, reports analyzing artificial intelligence in Europe and around the world are important.

State of Warsaw AI (2024) – Digital Poland Foundation

This is the most up-to-date and comprehensive report on artificial intelligence in Poland. Its main drawback? It focuses on Warsaw. Although other cities are mentioned, the capital takes center stage here.

It is hardly surprising, then—according to the report, as many as 46% of companies operating in the AI sector are headquartered in Warsaw. The city already serves as the central artificial intelligence hub in Central and Eastern Europe, and its ambitions extend even further: it has a real chance of becoming one of the key AI centers in Europe as a whole.

Such a local report can be a great source of inspiration for other cities. Focusing on a single region makes it possible to identify far more nuances than nationwide studies. This makes it easier to identify specific needs, potential, and development opportunities.

On the one hand, we can see a clear trend: the development of strong, local AI hubs. On the other, there is a noticeable lack of a comprehensive nationwide report on the development of artificial intelligence after 2023. Such a document would be particularly valuable today. You can find a detailed analysis of this report here.

Report type:

In-depth analysis, a mix of statistics from surveys and research—market analyses and data collection.

Specifics:

Most companies developing artificial intelligence in Poland were established within the last five years. It is a dynamic ecosystem that is still taking shape. My conclusion? Specialists in scaling and expanding businesses who also understand AI technology will be extremely valuable in the coming years.

Poland educates many highly qualified specialists in IT and artificial intelligence. Unfortunately, relatively few of them remain in the country—there is a classic “brain drain” at work here, directing talent to Western Europe and the United States.

On the other hand, we have an increasing number of AI implementation experts who are gaining experience in the local market. They are the ones who can play a key role in adapting and implementing new solutions in Polish companies.

Our country’s potential for AI development is enormous. Warsaw already stands out as the most important artificial intelligence hub in Central and Eastern Europe and has a real chance of joining the ranks of Europe’s leaders. At the same time, other major cities—such as Kraków, Wrocław, Poznań, and Gdańsk—could become strong regional AI hubs if they make proper use of their strengths.

Where Is Polish AI

The main headquarters of artificial intelligence companies in Poland are located in Warsaw (46%), Kraków (13%), Wrocław (11%), the Tri-City area (8%), Poznań (5%), and the Katowice area (4%). The remaining 13% of the headquarters of AI-related companies are located in other cities.

In Poland, around 1,000 companies related to artificial intelligence officially operated in 2024, as many as 46% of which were headquartered in Warsaw.

Among Warsaw’s AI companies:

  • 80% are companies with Polish capital,
  • 60% were established within the past five years (although there is no shortage of companies operating in the field of AI since the 1990s),
  • 40% employ specialists from abroad,
  • 65% plan to increase investment in artificial intelligence development in the near future.

As for the development stages of these companies:

  • 30% are startups,
  • 20% are in the early stage of development,
  • 14.5% are at the expansion stage,
  • 9.1% have reached the stabilization stage.

Most AI Companies Are Not Ready for Expansion
As many as 70% of artificial intelligence companies in Poland are not yet ready for international expansion.

My comment: Specialization in the internationalization and scaling of AI businesses will be extremely valuable in the coming years. There is a lack of expertise that could help young companies cross borders and enter new markets.

Structure of the AI Sector in Warsaw Warsaw is currently the most important artificial intelligence hub in Poland, bringing together approximately 500 companies operating in this field. The market structure is as follows:

  • Over 310 companies are entities in which AI is a key component of their internal technology, although they do not directly sell AI-based products,
  • 80 companies generate more than 50% of their revenue from selling AI-related products and services — they can be considered typical AI companies,
  • 60 companies are younger entities in which less than 50% of revenue comes from AI,
  • 50 companies are connected with AI technologies in another way, e.g. as providers of supporting tools or consultants.

Clients of Polish AI Companies Polish AI companies serve both the domestic and international markets. The customer structure is as follows:

  • 80% of customers come from Poland,
  • 43% from the USA,
  • 30% from the United Kingdom,
  • 25% from Germany.

This shows that despite their local roots, many companies are already operating internationally—although often on a small scale.

AI Adoption by Polish Companies It is estimated that approximately 15% of companies in Poland use artificial intelligence-based solutions. In Warsaw alone, this translates to nearly 45,000 businesses that have implemented at least one AI element in their operations.

EU Funding According to data from the European Commission, Poland will allocate €119.8 million from the EU Recovery Fund (NextGenerationEU) to the development of artificial intelligence between 2024 and 2030. This places us seventh in Europe in terms of planned public expenditure on AI.

Structural Diversity of the AI Market It is worth noting that the structure of the European AI market differs from that of Warsaw. In many countries, large technology companies and industrial corporations with their own R&D departments dominate, whereas in Warsaw, small and medium-sized companies—often startups—predominate. These companies have significant potential but limited resources for expansion.

The structure of the European AI market differs from that of Warsaw. In Europe, banking (15.7%), professional services (11.2%), and retail (10.9%) dominate. In Warsaw, however, the IT sector has the largest share (49.1%), followed by consulting (27.3%) and software development companies (25.5%).

AI Chamber – Reliable Market Data

The AI Chamber report is a reliable analysis based on detailed surveys conducted among companies. The questions are well-formulated and provide practical insights. In addition to classic questions about perceptions of AI, it also addresses specific issues such as:

  • who was responsible for implementing the AI (whether it was carried out internally, by an external company, or whether an external company continues to maintain the system),
  • what the scope of AI use within the company looks like,
  • what level of technological advancement the company has reached.

AI Already Used by Most SMEs The report shows that as many as 9 out of 10 companies in the SME sector use artificial intelligence and machine learning. What’s more, nearly one in four companies uses these technologies in an advanced way, meaning actual implementations that affect operational processes or the product offering.

My comment: Such statistics should be treated with caution; they may concern a specific industry or a business community interested in networking or AI. Many sole proprietorships use computers only minimally. For comparison, taking large companies into account, approximately one-third of businesses use ERP or CRM systems. The popularity of AI use should not differ too much from the use of the aforementioned systems. Although, of course, ordinary conversations with ChatGPT can also be considered using artificial intelligence.

Technological awareness is growing Half of SME representatives believe that their competitors are more advanced in using AI/ML. This is not only a call to action, but also evidence of growing awareness of the strategic importance of these technologies.

State of Polish AI 2021

Nearly 40% of artificial intelligence companies in Poland derive a significant portion of their AI revenue from foreign markets.

Poland ranks 7th in the European Union in terms of the size of its AI talent pool, with a 4% share.

In Romania, these technologies are more often used for automatic language translation and creating graphics for social media, whereas in Poland they are more commonly used for supply chain management (SCM). (although this may be due to the sample of respondents)

AI is more readily adopted by smaller entities. Although larger companies are more reluctant to introduce artificial intelligence, they use it more extensively.

Artificial Intelligence Atlas 2019 Digital Poland Foundation

In 2019, the Digital Poland Foundation published the Artificial Intelligence Atlas, which, in two versions—the abridged and the extended—presents a detailed picture of the state of the AI sector in Poland. The report shows that Polish companies working in artificial intelligence typically operate with small teams. More than half of the businesses employ no more than five people in this area, while only 15 percent of companies have teams consisting of more than twenty specialists.

Despite limited staffing resources, most companies declare their intention to expand their teams. As many as 85 percent of enterprises plan to hire new employees in the AI field, but most often this means no more than five people. Only 13 percent of companies intend to recruit more than ten specialists, meaning that the rapid expansion of teams is the exception rather than the rule.

Experts involved in preparing the report highlight a serious mismatch between the availability of specialists and market demand. This shortage of personnel could become a significant barrier to the development of artificial intelligence in Poland. It was suggested that it is necessary not only to educate more engineers and programmers, but also to educate non-technical people. This applies primarily to managers, who should understand the basic principles of how AI works and be able to identify areas where the technology can be used.

The Artificial Intelligence Atlas therefore shows not only the current state of the sector, but also clearly indicates where the limitations lie and what actions are needed to harness the potential of artificial intelligence in Polish companies.

POZNAI: “Polish Education in the Shadow of AI” — Collegium Da Vinci

The name refers to the POZN AI conference, which takes place in Poznań, but the report itself does not concern Poznań.

https://raporty.cdv.pl/poznai

52% of academic lecturers believe that using AI-based tools to generate various types of coursework and homework assignments is reprehensible and should be treated similarly to plagiarism.

34% of business representatives are convinced that robots and artificial intelligence will not be able to replace humans in performing most professional tasks for a long time yet.

51% of students believe that
AI-powered tools should be formally incorporated into the education process.

42% of pupils and students predict that within the next 3 years, the primary form of higher education will be e-learning and online education.

52% of teachers and lecturers believe that there is no possibility that, within the next 5 years, AI will develop and conduct classes for students better than a human.

71% of learners believe that
to better prepare for the challenges of the future job market, students should not study one specific field, but should have the opportunity to flexibly design their own educational path by independently choosing classes that interest them.

EY Report: How Polish Companies Are Implementing AI in 2023

https://www.ey.com/pl_pl/insights/ai/raport-ey-jak-polskie-firmy-wdrazaja-ai

Over 40% of companies that decided to implement AI have been using it for one to two years.

Monitoring research, development, and innovation activity within the framework of the National Smart Specialisation

The report is an interesting source of current examples of the application of innovative technologies, mainly in the areas of AI, bioinnovation, and digital transformation. Among other things, it presents a project by the British company Stitch Fix, which developed a tool for generating clothing visualizations based on customer preferences using the DALL·E 2 model—an example of the practical application of generative artificial intelligence in the fashion industry. Starbucks, in turn, introduced a collection of 2,000 NFT tokens as part of its “Starbucks Odyssey” loyalty program—the tokens sold out in 20 minutes, demonstrating the potential of Web3 to create value around consumer brands.

Information was also provided on international support programs for sustainable agriculture, such as the Canadian-British Homegrown Innovation Challenge, with a budget of GBP 33 million, as well as on the success of the Polish-British startup Supersonic Food Company, which secured PLN 7 million to develop its operations and expand. From the United States comes an MIT project involving biodegradable silk tags applied to seeds, which could be of enormous significance for authenticating agricultural products and combating counterfeiting.

The report is not limited to examples of investments—it also contains information about significant scientific events, such as research on lunar soil conducted by Chinese scientists and the publication of new FDA guidelines on the labeling of plant-based milk in the USA. From a media perspective, it also analyzes indicators of the presence of individual topics online, their reach, and the prevailing sentiment in discussions—for example, those concerning sustainable production or bioprocesses. All this makes the report a valuable source of inspiration both for companies seeking innovation and for institutions planning the development of projects within the framework of the National Smart Specializations.

https://www.parp.gov.pl/publikacje/publication/monitoring-aktywnosci-badawczo-rozwojowej-i-innowacyjnej-w-ramach-krajowej-inteligentnej-specjalizacji-raport-miesieczny-nr-12-marzec-2023

Conclusions and Summary

The development of artificial intelligence in Poland is accelerating at an impressive pace, although this often happens outside the mainstream media spotlight. In the shadow of global players such as OpenAI and Google, solutions are being developed in Poland that not only gain traction in foreign markets but also affect the daily lives of millions of people. The national AI ecosystem is not based solely on academic innovations—it is a combination of entrepreneurship, technical talent, and institutional support.

  • 1,000+ AI-related companies (including 300 specialized ones)
  • PLN 1.8 billion invested in AI in 2024
  • 12,000 specialists graduating from AI-related programs annually
  • 16 Poles in Kaggle’s global top 100
  • largest companies: ElevenLabs, Cosmose AI, Infermedica

Poland’s AI sector is built around highly specific applications—from medicine to industry and customer service. Particularly strong are industries that require rapid data analysis, personalization, or process automation. Companies are implementing artificial intelligence not for prestige, but for purely practical reasons: to improve efficiency, service quality, and profits.

  • medicine and healthcare: Infermedica, Molecule.one, Deepflare, Labplus
  • finance and security: Authologic, Nethone, PKO BP, STIR
  • retail and marketing: Synerise, InPost, Żabka Nano, Tidio, SentiOne
  • industry and logistics: Nomagic, AI Clearing, Surveily
  • public administration: e-Tax Office, Kaspro, STIR system

Behind this success are people—engineers, scientists, and practitioners. Poles have contributed to the development of key models such as ChatGPT and Bard, and many companies (e.g., ElevenLabs) are run by our compatriots, although they are registered abroad. The reason is not only access to capital, but also a more favorable business environment.

  • Wojciech Zaremba – OpenAI, GPT
  • Mateusz Staniszewski and Piotr Dąbkowski – ElevenLabs
  • Jarosław Królewski – Synerise, AI Schools & Academy
  • Piotr Orzechowski – Infermedica
  • Mirosław Mironiuk – Cosmose AI
  • Piotr Sankowski – IDEAS NCBR

Polish AI also benefits greatly from its communities and infrastructure. Regular meetups, industry organizations, and educational initiatives supporting the development of both technical and managerial skills operate in many cities. Ambitious infrastructure projects are also being developed, such as the national language model PLLuM.

  • Warsaw.ai, Kraków AI Meetup, AI Tinkers
  • foundations: Digital Poland, AI Chamber, Women in AI
  • projects: AI Schools & Academy, AI Labs, Zeszyt Online
  • PLLuM language model – a consortium of 6 institutions
  • institutional support: NCBR, NCN, PARP, OPI PIB

Unfortunately, despite its impressive progress, Poland still faces structural problems. The main one is the talent drain—top specialists often move abroad. There is also a shortage of managers with experience in scaling and expanding technology companies. Systemic measures are needed that will not only enable innovation to be created but also keep its creators in the country.

  • brain drain: emigration in search of better conditions
  • 70% of AI companies are not ready for international expansion
  • shortage of specialists in internationalization and commercialization
  • no nationwide report since 2023
  • weak cooperation between academia and business

If Poland wants to become a significant player on the European AI stage, it must leverage its potential in a coordinated manner. We need a strategy that brings together the worlds of science, business, education, and public administration. We have all the ingredients—now it is time to turn them into a recipe for success.

  • strengthening local hubs: Kraków, Wrocław, Gdańsk, Poznań
  • investments in educating AI leaders
  • promotion of Polish successes abroad
  • incentives for returning specialists
  • access to open infrastructure and language models

Polish artificial intelligence is no longer a curiosity—it is becoming a force to be reckoned with. We have companies developing technologies used around the world, engineers working on the most important language models, and a growing network of educational and social initiatives. Although many of these efforts do not make the headlines, together they form a dynamic and increasingly mature ecosystem. Warsaw already serves as an AI hub in Central and Eastern Europe, but it is not the only city where important things are happening—Wrocław, Kraków, Gdańsk, and Poznań are also building local strengths.

At the same time, there is no shortage of challenges. The loss of talent, difficulties in scaling and internationalizing young companies, and weak integration between academia and business are obstacles that may slow development. We need not only investment, but also a strategy that will help retain people, support their development, and involve them in ambitious projects carried out locally. We already have the potential. What we need now is the infrastructure to help realize that potential on a full scale.

The coming years will determine whether Poland remains a talent provider for foreign markets or becomes an equal player in the global AI league. The conditions for this are in place—and they are very favorable. All that is needed is to make good use of them.