About us
Innovative Data Scientists Bringing AI-Powered Recommender System
Our Mission is to bring highest quality recommender system to our clients.
Our team is composed of highly trained and experienced people,
who all commit to achieve our goals in delivering an optimum and first-class recommender system as a service to our clients.
Co-founders
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Pavel Kordik, Ph.D.
CEO, Co-Founder
Data scientist with 16 years of experience in the field of predictive modeling and data mining. Pavel is also a lecturer of several machine learning courses, such as Algorithms of Data Mining and Knowledge Engineering Methods at Czech Technical University in Prague.
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Tomas Rehorek, Ph.D.
CTO, Co-Founder
Runs a team of data scientists responsible for scalable algorithms and infrastructure. Tomas specializes in recommendation algorithms and has been lecturing AI for 5 years at FIT CTU in Prague. He overlooks product research and innovations.
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Ondrej Fiedler
CPO, Co-Founder
Overseeing development and deployment of new features to the production and working closely with client’s development teams to ensure smooth and high quality product delivery.
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Gabriela Takacova
Head of Business, Co-Founder
With rich international experience from working and studying in 6 countries, responsible for development and implementation of a growth strategy, market expansion, new customer acquisition and brand awareness.
Machine Learning
Research
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Pavel Kordik, Ph.D.
CEO, Co-Founder
Data scientist with 16 years of experience in the field of predictive modeling and data mining. Pavel is also a lecturer of several machine learning courses, such as Algorithms of Data Mining and Knowledge Engineering Methods at Czech Technical University in Prague.
Business
Back-end
Front-end
Infrastructure
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Antonin Kral, Ph.D.
Data Protection, Co-Founder
Antonin helps with designing and building the global server infrastructure. He has tremendous experience in distributed systems, data streaming and processing, services orchestration, and machine learning.
Design & Brand
See open positions and join us
"Currently, we are able to provide recommender as a service to companies with dozens of millions of users and products with the plan to scale up. We work hard to make our service even more useful and profitable not only for large enterprises but also for small
and medium-sized companies."
Recently Published
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Introducing beeFormer: A Framework for Training Foundational Models for Recommender Systems
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