About Us

Machine learning, artificial intelligence, high-volume data processing – these notions connected a group of academic researchers with software development practitioners.

As a result, a new quality was born. A center of competence, combining scientific research with hands-on experience in data analysis and interpretation.

Our team of mathematicians and software developers is always ready for new challenges – we enter the battlefield whenever there's a supposition that analysis of gathered data can bring forth a competitive advantage, or where we can make world a better place thanks to advanced artificial intelligence.

We use state of the art solutions in machine learning and neural networks – after all, we are active in the research of this area.

Whenever You need a prediction system, a solution for making and/or explaining decisions, a framework for coaching human operators in their job, or just need to analyze high volume of data in a short time-frame – we are here to help.

We do not neglect basics – we do scientific research on artificial intelligence and new methods of data analysis.

Whenever traditional methods fail, for us it's just a warm-up.

Projects

In modern world, it's not the lack of data that is the problem – it's lack of easy to use and efficient methods of extracting useful information from gathered data.

That's why we gladly start any cooperation with a proof of concept – showing what can be done with available data, how much can be obtained by its processing, so our clients make conscious decisions and always know what they can gain or save with us.

We take upon us tasks in such areas as image/video classification and recognition, semantic analysis of texts, real-time analysis of big volumes of data, prediction of system state, making human-like AI agents.

We develop a Grail platform – AI middleware for game developers, aimed at two main goals:

  • introduction of human-like behavior into computer-operated agents, both on tactic and strategical level
  • facilitation of automatic game testing and balancing.

We also build coaching systems. A good example here is Sensei project – system for aiding in game player self-development. But that's just one example. We know how to coach people in any area where their actions are measured and goals are defined.

Apart from all that, we also maintain a competition platform, that helps us bring into light the best of the best in the data mining world.

GRAIL
ESENSEI

Core Team

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Dominik Ślęzak

Dominik Ślęzak

Dominik Ślęzak Dominik received M.Sc. degree in Mathematics (1996) and Ph.D. degree in Computer Science (2002) from University of Warsaw. In his early academic career, he worked as Teaching Assistant at Polish-Japanese Institute of Information Technology. In 2003-2006, he worked as Assistant Professor at University of Regina in Canada. He also cooperated as Adjunct Professor with McMaster and York University. In 2008, he moved back to Poland and re-joined University of Warsaw, where he currently holds professorship position at Institute of Informatics. In 2011, he received D.Sc. degree from Institute of Computer Science of Polish Academy of Sciences.

Dominik is continually engaged in both academic and commercial R&D initiatives, in the fields of Artificial Intelligence, Machine Learning and Big Data. In 1999, he co-founded QED Software with the aim of developing new, easy-to-interpret Data Exploration methods. In 2005, he co-founded Infobright - a database software company whose Granular Query Engine was acquired by Security On-Demand in 2017. Currently, apart from University of Warsaw and QED Software, he serves as Chief Scientist at Security On-Demand and he is an expert in several EU-funded projects in the areas including Online Game Analytics and Personalized Advisory Systems.

Dominik co-authored over 200 scientific articles and he is co-inventor in six US patents. He organized over 20 conferences in Europe, Asia and both Americas. He delivered plenary talks at over 20 international congresses including keynote at IEEE/WIC/ACM Conference on Web Intelligence in 2015. He is Associate Editor for several scientific journals and he was one of Founding Editors of Springer’s CCIS Series. In 2012-2014, he served as President of International Rough Set Society. Currently, he serves as Vice-President of Polish Artificial Intelligence Society and Vice-President of IEEE CS Technical Committee on Intelligent Informatics.

Jacek Puczniewsk

Jacek Puczniewski

Jacek Puczniewsk An enthusiast of artificial intelligence and experienced IT manager. Wrote his first games in mid ’80s on his ZX Spectrum microcomputer. A player of Bridge, Go, RPG, logic and tabletop games as well as some video games. Former president of the Polish Go Association and academic teacher.

Studied Computer Science and Psychology at Warsaw University and Software Engineering at Warsaw University of Technology. Has practice in heuristic tree searching and pathfinding (logic games), neural networks (handwritten characters recognizing), genetic algorithms and expert systems.

Twenty years of experience in managing development, implementation and support of workflow systems. Acted as IT system architect, data scientist, business analyst, project manager and project supervisor. Various roles in IT projects for well-known organizations. A Project Manager – Supreme Court of the Republic of Poland (SN), LOT Polish Airlines (PLL LOT), PTC (Era GSM), Polkomtel (Plus GSM), Agora, Netia, Getronics (former Olivetti). A member of Steering Committee: Warsaw Stock Exchange (GPW), Polish Television (TVP), Center for Informatics Technology (COI), Gas Transmission Operator GAZ-SYSTEM, Play, T-Mobile Polska, NASK, ATMAN, Kapsch, InONE, Getin Bank, Eurobank, Bank for Environmental Protection (BOŚ), Polpharma, Farmacol, Synthos, USP Zdrowie.

In spare time: traveling, horse riding, sailing, hacking.

Piotr Biczyk

Piotr Biczyk

Piotr Biczyk An agile manager, with extensive experience in software development projects, both for private sector and for public administration. Physicist by heart, he has worked on incredibly interesting topics of high pressure material research (super-hard ceramics), as well as solid state optics (blue laser diodes). His post-academic career brought him into computer security and software development areas. Now he fulfills his dream of combining two worlds – interesting scientific research and building useful software. His goal is to make a dent in the universe and make the world a better place.

Privately – sailing the high seas, climbing, meadmaking, fencing, and dozens of other bizzare topics.

Andrzej Skowron

Andrzej Skowron

Andrzej Skowron Andrzej Skowron is currently a Full Professor in the Faculty of Mathematics, Computer Science and Mechanics at the University of Warsaw, Poland. He is also a professor at the System Research Institute, Polish Academy of Sciences. He holds a Ph.D. degree and Doctor of Science (Habilitation) degree in Mathematical Foundations of Computer Science from the University of Warsaw. In 1991 he received the Scientific Title of Professor from the hands of the President of the Republic of Poland.

Andrzej is one of Poland’s most eminent scientists in the realm of intelligent methods in Computer Science, Machine Learning and Artificial Intelligence. His seminal works in the areas of soft computing, reasoning with incomplete information, approximate reasoning, rough sets, granular computing, synthesis, knowledge discovery systems and advanced data mining have gained him a worldwide recognition. He is the author and co-author of over 350 scientific publications, more than 20 edited books and several special issues of reputable international journals. He is also among the most cited Polish scientific authors.

Throughout his long and fruitful career Andrzej worked as a researcher and scholar in institutions and companies in several countries, in particular Poland, Sweden, Italy and the US. He was involved in several national and international research and commercial projects related to, e.g., data mining (fraud detection, web mining), control of unmanned vehicles, medical decision support systems, Forex prediction, and approximate reasoning in distributed environments.

Having supervised over 20 PhD Thesis and 100 Master Thesis Andrzej is a father figure for a whole generation of Computer Science researchers and practitioners in Poland.

Maciej Świechowski

Maciej Świechowski

Maciej Świechowski He is a proper geek, who loves computer science, fast cars and playing electric guitar after hours. Naturally, he like playing games, but he was always more interested in how they are made and all technicalities that come with them.

M.Sc. in computer science from the Faculty of Mathematics and Information Science, Warsaw University of Technology. Ph.D. with distinctions, in the Systems Research Institute of Polish Academy of Sciences (SRI PAS). Ph.D. thesis title: “Adaptive simulation-based meta-heuristic methods in synchronous multiplayer games”. When in SRI PAS, he acted as a chairman of the PhD students council.

Prior to Silver Bullet Labs he worked as a .NET developer in many interesting project and as an assistant professor in Systems Research Institute, Polish Academy of Sciences. He has and still does work as academic teacher at Warsaw University of Technology of the subjects: 3D Computer Graphics, Programming in Graphical Environment and .NET Enterprise Applications.

A participant of the prestigious International PhD Projects in Intelligent Computing under the Foundation for Polish Science within the Innovative Economy Operational Programme and European Regional Development Fund. Participant in the National Science Centre in Poland grant entitled “Autonomous self-adapting metaheuristic methods in dynamic environments”. He also was a visiting researcher at University of New South Wales, Australia in School of Engineering and Information Technology.

A member of IEEE and The Polish Information Processing Society. Have given various invited talks, usually related to the AI and CI in games as well as conference and seminar presentations and co-author of various scientific publications: https://scholar.google.pl/citations?user=VR1gtbMAAAAJ&hl=en

His program, named MINI-Player, reached the quarter-final level in the International General Game Playing Championships held by the Stanford University.

Andrzej Janusz

Andrzej Janusz

Andrzej Janusz An active and experienced researcher in fields of science related to data exploration, machine learning, and artificial intelligence. In 2014, received his PhD degree in computer science from the University of Warsaw, where he currently holds a position of assistant professor.

Participated in several R&D projects funded by NCBR, related to topics such as semantic indexing of scientific publications, assessment of threats during fire&rescue operations performed by the State Fire Service and active monitoring of safety conditions in underground coal mines. In his research, cooperated with scientists from several academic centers in Poland and abroad, such as e.g., Silesian University of Technology, Main School of Fire Service, the University of Granada and Dalhousie University. His professional career also includes cooperation with companies such as AdgaM Solutions and Zoined Oy.

His publication record consists of over 20 articles on topics related to applications of machine learning techniques. For his publications, received three best paper awards at international conferences.

Co-founded Knowledge Pit – an online platform where he organizes open data mining challenges aiming at solving complex real-life problems. Currently serves as Program Co-Chair of 12th International Symposium on Advances in Artificial Intelligence and Applications.

Publications:

  • Sebastian Stawicki, Dominik Ślęzak, Andrzej Janusz and Sebastian Widz, „Decision bireducts and decision reducts – a comparison”, International Journal of Approximate Reasoning, vol. 84: 75-109, 2017
  • Andrzej Janusz, Dominik Ślęzak, Sebastian Stawicki, Mariusz Rosiak, „Knowledge Pit – A Data Challenge Platform”, CS&P 2015: 191-195
  • Lala Septem Riza, Andrzej Janusz, Christoph Bergmeir, Chris Cornelis, Francisco Herrera, Dominik Ślęzak, José Manuel Benítez, „Implementing algorithms of rough set theory and fuzzy rough set theory in the R package „RoughSets”, Inf. Sci. 287: 68-89 (2014)

Full list of publications: http://dblp.uni-trier.de/pers/hd/j/Janusz:Andrzej

Rafał Kowalski

Rafał Kowalski

Rafał Kowalski Passionate of games and their development at every stage, from concept-making and design through development and mechanics prototyping to testing and game play parameterization. Most of all he loves level design. He is also interested in films, comics, futurology and fantasy. Apart from playing on PC, NES and GBA emulators, as soon as time is available, plays Chess, role-playing and board games. Weekends are time for ASG.

He is interested in the development of various game engines. Works mainly in Unity and Construct 2 engines. He played with Unreal Engine, Defold, Fusion 2.5, CryEngine, Game Maker and GDevelop. He follows with big interest the development of Godot Engine, and made many games on Android, including Caps, Candyshaker, Dino Puzzle, Animal Kids Funny Tap. He released Mooch for PC on Steam. In the so-called "Drawer" he holds around 80 prototypes and game concepts that will see daylight "someday". That includes 4 board games and a RPG system.

Tomasz Tajmajer

Tomasz Tajmajer

Tomasz Tajmajer Deep Learning enthusiast, strong-AI believer, practical, pragmatic and always equipped with a pocket knife. Sarcasm-oriented engineer with a pint of scientist, philosopher and a cook. Working on machine learning models for augmenting AI in video games and other ML problems. Also a lesser Linux magician, Python programmer, IoT specialist and embedded systems engineer. In academic life focused on deep reinforcement learning and embodied AI. The list of other interests includes, but is not limited to: astronomy, cognitive science, robotics, jujutsu, hiking, hardware hacking, teaching.

Rafał Tyl

Rafał Tyl

Rafał Tyl A game programmer, mainly focused on artificial intelligence. Graduated from Faculty of Mechatronics of Warsaw University of Technology, specializing in image processing, but switched fields to game programming right afterwards. Experienced in traffic simulation for mobile games and AI for real time strategies. When not busy coding, he spends his time playing the guitar, composing prog metal and exploring new video games.

Sebastian Stawicki

Sebastian Stawicki

Sebastian Stawicki A programmer and data wrangler, who started his computer passion from playing games on Atari 65XE, Amiga 600 and PC. Enthusiast of Python language and modern data collection and processing technologies. Academic interests include Data Mining, Knowledge Discovery and Machine Learning with particular emphasis on Rough Sets. In professional life took part in several projects, either commercial or R&D, related to areas such as web applications, databases, methane concentration threats in coal mines, recruitment industry or video games. Other past or current activities -- jugging, kickboxing, judo, chess, motorcycles, gliders, handcrafting, dancing, ...

Łukasz Grad

Łukasz Grad

Łukasz Grad Computer science graduate student at University of Warsaw with heavy interest in machine learning and statistical data analysis. Part time Kaggler. Occasionally tries to write something smart on CrossValidated. Likes tennis, chess and mostly computer games. Dislikes international pale lager. Used to know how to play guitar.

Contact




QED SOFTWARE
Miedziana 3A/18
00-814 Warsaw, POLAND

Piotr Biczyk
+48 510 106 648
piotr.biczyk@qed.pl