We develop advanced AI solutions that provide companies with robust competitive advantage.
We are all about practical solutions. We use artificial intelligence to solve real-world business challenges. For us, AI is a tool that can make work simpler, smarter, and more efficient. We focus on understanding our clients’ needs and delivering AI solutions that just work.
Meet the Team
Dominik Ślęzak
CEO at QED Software
Dominik co-founded QED Software in 1999 and since then he has continually guided development of the company’s main Artificial Intelligence and Machine Learning solutions.
In the meantime, he was also involved in other commercial initiatives. In 2005, he co-founded Infobright – international company at which he co-designed new Analytical Database Technology based on Rough Sets and Information Granulation. In 2017, he started serving as Chief Scientist at Security On-Demand – US-based company which extends Infobright’s approach in order to empower Cybersecurity Analytics with Approximate Querying. He has also served as a technological expert for several other firms including IINE, OvuFriend, and Toolbox for HR, Pro Duct BBF.
Dominik has always been active at the junction of industry and science. In 2014, he co-created KnowledgePit – scalable online platform for Data Mining Competitions. He acted as President of International Rough Set Society, one of Founding Editors of Springer’s Communications in Computer and Information Science, as well as Conference Chair and Plenary Speaker at 30+ international scientific congresses in Europe, Asia and both Americas. In his academic life, he holds the position of Full Professor at University of Warsaw.
He also worked for the Polish-Japanese Academy of Information Technology and several universities in Canada. He is a co-author of 200+ scientific publications and co-inventor in 10+ US patent applications.
Dominik enjoys mountain hiking, table soccer, and board games. He is married and has two children.
Our Capabilities
We offer a diverse array of solutions tailored to address the unique challenges of today’s dynamic industries. Our expertise spans various sectors, including healthcare, finance, transportation, manufacturing, e-commerce, cybersecurity, media, and more. We analyze data in all its forms and formats, whether structured or unstructured, including tabular data, images, videos, audio, text, multimodal inputs, and logs.
For each project, we present our clients with a range of options, accompanied by our recommendations for effectively addressing specific challenges. At times, this might involve building machine learning models from scratch, while on other occasions, adapting existing solutions, such as LLM or deep learning architectures for computer vision tasks, might be more appropriate. Over the years, we’ve developed a suite of tools that expedite the training of ML models and ensure monitoring of their quality.
While we’re well-versed in traditionally well-defined AI use cases like Sales Forecasting, Churn Prediction, Customer Segmentation, Fraud Detection, and Credit Risk Scoring, as well as various computer vision applications (e.g., Image Recognition, Video Analytics, Human Pose Estimation) and text analytics (e.g., Automated Document Classification), we’re always eager to tackle new and uncharted challenges that clients bring our way.
Our team of AI experts will work closely with your team to develop an AI product roadmap that aligns with your company’s strategic goals. Leveraging our in-depth industry knowledge and technical expertise, we ensure your AI initiatives align with your business strategy, accelerating growth and increasing your competitive advantage.
We provide a comprehensive range of services to help you secure funding for your innovative projects. We will guide you through the entire process, from understanding financing options, creating attractive proposals, to negotiating the best terms.
Our dedicated support team is here to resolve any AI related issues and ensure your AI apps are always running at peak performance.
Navigating the AI landscape isn’t just about understanding the technology; it’s about recognizing how it fits within the bigger picture of your organization. We believe that a successful AI investment isn’t just technically sound but also aligns with your company’s ethos, objectives, and long-term vision.
Our team’s combined expertise spans both the technical and strategic aspects of AI. We don’t just evaluate the nuts and bolts of an AI solution; we also consider its potential impact on your workflow, team dynamics, and customer experiences. This 360-degree approach ensures that any system you invest in not only works today but remains an asset as market dynamics evolve and business strategies pivot.
With the rapid pace of AI advancements, it’s essential to have a partner that keeps your best interests at heart, guiding you through the complexities and ensuring each step taken is one toward a more efficient and innovative future. That’s the commitment we bring to the table for every client.
Companies that choose to engage external research and development teams specializing in artificial intelligence usually have specific needs and motivations, such as:
- Expertise gap: They lack their own AI expertise or require expertise that is not readily available within the organization.
- The need for rapid innovation: They want to use external teams to accelerate innovation processes, especially if the external R&D team has a track record of fast and successful implementations.
- Cost effectiveness: Building and maintaining an in-house R&D team can be costly. Outsourcing can sometimes be a more cost-effective solution, especially for short-term projects.
- Risk mitigation: By outsourcing, companies can share the risks associated with R&D, especially in areas outside their core expertise.
- Access to cutting-edge tools: External teams, especially those specializing in AI, often have access to the latest tools and technologies, ensuring that the solutions are state-of-the-art.
- Collaborative synergy: Working with external teams can foster new partnerships and collaborations, potentially leading to further business opportunities and advancements in the field.
Selected Projects
Security On-Demand
Suspicious network events detection
Security On-Demand’s need was to increase its ability to detect suspicious network events based on network traffic data. The main goal of the project was to support Security Operations Center employees in ongoing monitoring of customers’ security status.
The solution we proposed is algorithm crowdsourcing. It remains for the client to provide the input data. We used the capabilities of our proprietary KnowledgePit.ml competition platform, on which our team has been successfully organizing similar events for several years.
QED Software was responsible for the formal definition of the problem, data preprocessing, preparation of the benchmark and competition evaluator, promotion of the competition, as well as for conducting the competition and conducting a conference session summarizing its results.
AraHUB
Content matching system
A system based on the analysis and prediction of demographic data.
The aim of the project was to respond to the market need in the form of improving the quality of advertising targeting in the largest Digital Out-Of-Home (DOOH) network in Poland.
The solution is a system that is able to match content to recipients of nearby media in real time. This process is based on the analysis and prediction of demographic data. The challenge that was overcome is to ensure the autonomy of monitoring units, while ensuring high quality predictions and tailoring content to recipients.
Information Builders
Expansion of the R&D team
Information Builders (IBI) is one of the most important players on the business intelligence market. To stand out from the competition, the company wanted to expand its R&D team with data science competencies.
The business decision was to locate the core of this team in Poland, within the structures of QED Software. Thanks to this, IBI was able to quickly expand its offer with services using the latest achievements in applied mathematics – both as part of predictive services, approximation inference, and the creation of advanced statistical models.
Sierra Gorda
Air pollution mathematical model and data analysis
Sierra Gorda SCM (KGHM), a Chilean open-pit copper and molybdenum mine, requested a mathematical model showing the extent to which air pollution in the mine surroundings is the result of mining activities.
Mathematical modeling services and data analysis regarding the impact of mine operations on the environment allowed us to determine the actual impact of mining in the mine on air pollution in the area. This type of analysis is used to consciously manage the level of extraction, for example in order to increase it without a negative impact on environmental pollution in inhabited areas.
Zoined
Prediction engine for a business intelligence platform
Zoined is the creator of one of the most interesting business intelligence solutions aimed at retail chains. Their platform allows chain owners to quickly view a synthetic view of sales data and convenient analysis down to the level of individual checkout points. The company wanted to enrich the panel and provide its customers with a predictive module to predict sales and demand for products.
The prediction engine we created was tested in a nationwide Swedish bakery chain and a chain of clothing stores. The success of these implementations convinced the client to include them in the range of services offered with the Zoined Analytics platform.
OnStage.AI
The impact of AI on music production.
OnstageAI has developed a technology that automates the recording of classical music concerts, incorporating both technical and artistic aspects.
The tool allows users to set parameters to guide the recording process and realize their unique artistic vision.
Traditionally, capturing the essence of live concerts for streaming required multiple camera operators, leading to high costs and limited production. OnStage’s AI technology has revolutionized this process.
Our Clients
