Polish AI – Companies Creating Artificial Intelligence in Poland
Artificial intelligence has ceased to be a futuristic vision and has become a real tool transforming nearly every industry. In Poland, an ecosystem of companies that design and implement AI-based innovations is developing dynamically—both to meet local needs and with global markets in mind. From medicine and cybersecurity to marketing, industry, and biotechnology, Polish AI is developing broadly and ambitiously.
Below, we present a list of the most important Polish companies developing artificial intelligence-based solutions, divided into thematic groups.
Table of Contents
Medicine and Biotechnology
AI in healthcare is one of the fastest-growing fields. In Poland, innovations are being developed that help diagnose conditions, analyze medical data, and design new therapies—faster, more accurately, and without overburdening doctors. Artificial intelligence appeared in medicine long before the widespread adoption of the commercial version of Chat GPT. In medicine, AI is not a novelty or a curiosity—it is simply the current standard.
Medicine is a major driver of artificial intelligence development – many image recognition systems were developed to diagnose cancer more quickly.
Infermedica
A Wrocław-based company creates platforms that support doctors’ work—from initial triage (Infermedica Triage), through medical history collection (Intake), to integration with other systems (API). These solutions help relieve doctors of routine tasks and direct patients to appropriate care more quickly. Their free Symptomate app has already been downloaded more than 500,000 times.
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Molecule.one
A Warsaw-based bioinformatics startup using generative AI to design the chemical synthesis of drugs. Through its partnership with the American Chemical Society, the company is accelerating the discovery of new therapies at the molecular level.
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DeepFlare
Specializes in using AI to design mRNA vaccines. It analyzes genetic sequences and suggests the most effective therapeutic variants. The company received PLN 5.5 million in support to develop its research during the COVID-19 pandemic.
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Labplus
A medtech company from Wrocław that automates laboratory analysis. Their technology enables faster processing of test results and streamlines the work of laboratories in hospitals and clinics.
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2. Finance, Cybersecurity, and Identification
Artificial intelligence is playing an increasingly important role in finance, supporting data analysis, process automation, and enhanced security.
One of the key applications of AI in finance is assessing creditworthiness. Algorithms analyze not only financial data but also user behavior, enabling more accurate risk assessment and faster, more precise lending decisions.
AI is also widely used to detect financial fraud. Systems learn to recognize unusual behavior and warning signs, enabling a rapid response to attempted fraud.
In the area of identification and security, AI supports automated identity verification by analyzing documents, biometrics, and other data sources in real time. As a result, processes such as logging in, signing contracts, or opening accounts are faster and more secure.
Artificial intelligence is also used in customer service—for example, in the form of voicebots and chatbots that automate customer interactions, answer questions, and support sales.
Additionally, AI helps personalize offers, dynamically price products, and optimize investments, transforming the financial sector toward a more precise and automated operating model.
The financial sector in Poland is becoming increasingly digital, and artificial intelligence is one of its key drivers.
Authologic
A Warsaw-based startup specializing in digital identity verification. Authologic offers an API platform that enables the automatic verification of data from various sources—including identity documents, digital wallets, and banking systems. Users can verify their identity remotely, without having to submit scans or visit physical branches. The company focuses on flexibility and security, offering a single, unified API for various identification methods.
Authologic has gained international recognition, joining the Google AI for Cybersecurity program as one of the 17 most promising cybersecurity startups from around the world.
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Nethone
A Warsaw-based startup that developed an advanced AI-powered platform for detecting online fraud. Nethone analyzes users’ behavioral and biometric data—such as mouse movements, typing speed, and even device dynamics—to identify potential attempts to impersonate a legitimate user (e.g., during login or a transaction).
Their technology can block over 95% of unauthorized access attempts and is used, among others, by companies in the e-commerce and fintech sectors. In 2022, the system’s effectiveness was confirmed by the market—Nethone was acquired by the international payment operator Mangopay.
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Kaspro Chatbot
Kaspro is a virtual tax assistant available on the podatki.gov.pl website. It is an AI-based tool that supports communication between citizens and tax offices. Users can ask questions about personal income tax (PIT), VAT, tax reliefs, or the e-Tax Office, and the chatbot will respond in real time, directing them to the appropriate documents or forms.
Kaspro reduces the workload of helplines and tax officials while ensuring that information is available 24/7. Although it is neither a commercial product nor a startup, the chatbot is an excellent example of applying AI to citizen services and process automation in the public sector.
STIR System
STIR (the Clearing House Teleinformatics System) is a tool used by the National Revenue Administration to analyze financial flows in real time. Thanks to AI-based algorithms, suspicious transactions can be quickly detected and blocked before the money is transferred further—for example, to organized criminal groups.
According to official data, the system has already blocked transfers worth more than PLN 180 million, effectively protecting the state budget and reducing the scale of tax fraud. STIR is an example of the effective use of AI in public administration.
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Industry and Logistics
Artificial intelligence is becoming a key element of modern industry. It is entering not only factories and warehouses, but also construction sites, power plants, refineries, food processing facilities and logistics centers.
Its main role is to automate repetitive tasks, optimize processes, and predict problems before they arise. In manufacturing, AI controls assembly lines, predicts machine failures (predictive maintenance), and manages quality. In logistics, it plans routes, manages inventory, and controls the fleet in real time.
At construction sites, it analyzes data from drones and 3D scans, comparing it with the schedule. In the energy sector, it forecasts consumption, detects anomalies in the grid, and supports load management. In the chemical and food industries, it monitors process parameters in real time and automatically adjusts settings.
AI also enhances safety – vision systems detect hazards to employees, such as the absence of a helmet or presence in a risk zone. As a result, industry is becoming not only more efficient, but also more flexible, environmentally friendly, and safe – in line with the principles of Industry 4.0.
The development of industry has gone through four key stages: Industry 1.0 was mechanization enabled by the steam engine, 2.0 – electricity and production lines that made mass production possible, 3.0 – computer-based automation using PLCs and industrial robots, while Industry 4.0 is the era of artificial intelligence, the Internet of Things, and real-time data analysis. Machines learn, predict failures, optimize production, and communicate with one another without human involvement – creating intelligent, self-managing systems.
Nomagic
A Warsaw-based startup in the warehouse robotics sector that develops intelligent systems for automating order picking. Nomagic robots can recognize objects, grasp them, sort them, and place them in the right locations—all without human involvement.
Unlike traditional industrial robots, Nomagic’s machines use computer vision and machine learning algorithms, enabling them to respond flexibly to a wide variety of product shapes and colors. The company’s solutions are deployed in e-commerce warehouses seeking to accelerate packing and shipping processes while reducing labor costs.
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AI Clearing
A Poznań-based startup that has developed a platform for autonomously monitoring progress on construction sites. The system is based on the analysis of visual data—photos and 3D scans captured by drones—which are compared with digital plans for construction projects.
Artificial intelligence detects construction errors, delays, and deviations from the schedule, enabling an immediate response. Thanks to AI Clearing, investors can gain full control over large infrastructure projects—without the need to review documentation every day or be physically present on the construction site.
Surveily
A Wrocław-based company specializing in the use of computer vision to improve occupational health and safety (OHS) in industrial facilities. Surveily’s technology analyzes footage from industrial cameras and detects dangerous situations—for example, the absence of a safety helmet, entering a hazardous area, or contact with dangerous equipment.
The system operates in real time, enabling not only a rapid response but also incident prevention and reporting. Surveily aligns with the concept of so-called “smart factories,” where artificial intelligence not only manages production but also protects employees’ health.
4. Customer service and marketing
AI in marketing and customer service is not just about chatbots – it also encompasses personalization, customer behavior analysis, and communication automation.
Synerise
The Kraków-based company Synerise is one of Poland’s most recognizable scale-ups in the field of artificial intelligence and data analytics. The company specializes in developing an advanced big data platform that enables businesses to analyze customer behavior in real time and automatically generate personalized offers, messages, and product recommendations.
The Synerise system collects and processes data from multiple sources, including websites, mobile applications, CRMs, sales systems, and loyalty programs. Then, by using machine learning algorithms, it can understand an individual user’s preferences and tailor the offer to them at the right time and place. This solution is particularly popular in the retail, banking, telecommunications, and e-commerce sectors.
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One of the platform’s distinguishing features is its ability to operate in real time—this means that data is analyzed “on the fly,” and the system makes decisions immediately, for example, when a customer is browsing the store’s website. This makes it possible to dynamically adjust prices, suggest the best contact channel, or launch a loyalty campaign precisely when the user is most active.
Synerise also develops its own predictive engines and AI solutions, which are delivered to customers as ready-to-integrate components—significantly shortening implementation time.
The company, led by Jarosław Królewski, has gained recognition beyond the Polish market. Synerise’s valuation has already exceeded 100 million euros, and the Financial Times has included it on its list of Europe’s fastest-growing technology companies. Synerise solutions are implemented in more than a dozen countries, while the company itself continuously invests in research, development, and international expansion.
Cosmose AI
A Warsaw-based technology company specializing in analyzing consumer behavior in physical spaces has revolutionized the way brands can reach customers offline. Its innovative technology uses data from mobile phones and local WiFi networks in stores, shopping malls, and service outlets. This makes it possible to track customer journeys, identify brand touchpoints, and understand consumer habits—all while ensuring complete anonymity and compliance with data protection regulations.
The collected data is then processed by advanced algorithms that enable hyper-precise ad targeting—both in digital channels and in physical spaces. The company’s technology makes it possible, for example, to direct an advertising message to people who have visited specific stores, neighborhoods, or shopping malls, opening up entirely new possibilities for marketers.
The company currently serves over 20 million locations worldwide, making it one of the largest players in this niche. Its services are used by global premium brands such as LVMH (the owner of, among others, Louis Vuitton and Dior) and L’Oréal, which can better understand their customers’ behavior and optimize their marketing strategies on a global scale through data analysis.
The company’s value is estimated at approximately PLN 2 billion. This impressive result demonstrates that innovations created in Poland can genuinely shape the future of marketing and data analytics worldwide.
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Tidio
One of the most popular AI systems for e-commerce customer service comes from Szczecin. It combines live chat with intelligent automated responses. The startup has already raised over PLN 100 million in funding.
SentiOne
Creates voicebots and internet monitoring tools. The platform analyzes brand mentions on social media and supports the automation of customer communications. The solutions are used by major European brands.
VoiceLab
A Gdańsk-based company specializing in NLP (natural language processing) and speech synthesis. It is developing the TRURL project—an advanced voice platform for business and public administration.
5. Generative AI and the Technologies of the Future
This group includes companies that create the most advanced generative AI solutions—from voice to systems that control and analyze visual data.
Eleven Labs
A startup founded by Poles in the United States that quickly gained recognition in the global voice technology market. Its flagship product is an advanced speech synthesis system capable of generating speech that is almost indistinguishable from a human voice—in terms of intonation, emotion, and naturalness. The technology is used, among other applications, in film dubbing, audiobook production, voice assistants, as well as the media and advertising industries.
Although the company is headquartered in the USA and its clients include global giants in the technology and entertainment industries, Polish engineers form the backbone of its research and development team. It is in Poland—primarily in Warsaw and Kraków—that the algorithms responsible for the quality and realism of the generated speech are developed. The company actively collaborates with Polish technical universities and invests in the local AI ecosystem, building a community of specialists in natural language processing and machine learning around itself.
The startup is currently valued at $3.3 billion, making it one of the highest-valued technology ventures with Polish roots. It is an excellent example of how Polish engineering expertise can play a key role in creating groundbreaking technological solutions on a global scale.
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Addepto
A consulting company delivering AI projects for businesses worldwide. From systems that locate baggage at airports to controlling the LED illumination of the famous MSG Sphere in Las Vegas.
Summary: Poland on the AI Map
The Polish AI scene is no longer a niche, but a dynamic ecosystem of companies, startups, and research institutions. From pioneering startups such as Eleven Labs and Infermedica, through comprehensive platforms like Synerise and SentiOne, to specialized industrial projects—our companies are creating solutions that compete with the best in the world.
This trend not only drives innovation in the country but also strengthens our presence in the global technology market. These companies are worth watching—as many signs indicate that the next breakthrough AI projects will come from Poland.
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