Recombee is a Czech AI startup developing a platform for content personalization and recommfinishations. Founded by Pavel Kordik, Tomas Rehorek, Gabriela Takacova, Ondrej Fiedler, Tomas Barton, Antonin Kral, the company works with media, streaming services, and marketplaces, providing real-time recommfinishation and search technologies for clients in multiple countries.
In the Startup of the Day column, Recombee’s team shares more about the company’s technology, current traction, and upcoming developments.
The Startup of the Day column on AIN.Capital is dedicated to tech projects from all sectors that originate from the CEE countries. If you would like to introduce your project, please fill in the questionnaire.
Tell us about your startup. How does it work?
Recombee is an AI-powered personalization platform that enables digital businesses of all kinds to deliver highly relevant content and product recommfinishations to their utilizers. We provide a sophisticated recommfinishation engine as a service, the kind that only utilized to be accessible to major corporations like Amazon or Netflix.
The platform utilizes over 100 built-in proprietary machine learning models to analyze and connect the dots between utilizer behavior, item similarities, and business goals, all of which are then utilized to generate real-time recommfinishations.
Outside of recommfinishations, Recombee’s personalized search improves the utilizer experience by creating content simpler to discover and navigate, while its advanced analytics give companies actionable insights into what resonates with audiences, supporting smarter editorial and product decisions.
User behavior like clicks, views, and purchases are analyzed in real time and enhanced with collaborative filtering, content-based models, reinforcement learning, and proprietary architectures. The finish product is truly relevant results that match each utilizer’s interests and context across different content types and utilize cases.
How did you come up with the startup’s idea? What was the reason/motivation behind it?
We’re all machine learning researchers who started working toobtainher at Czech Technical University. We essentially realized that the recommfinishation technologies utilized internally by giants like Amazon and YouTube could be created accessible to businesses of all sizes. Our idea was to democratize advanced AI and build world-class recommfinishation technology available as a SaaS product.
How long did it take to reach the prototype or MVP? What did you encounter?
Early versions of our product were highly technical and required API calls without a utilizer interface. Our MVP delivered basic collaborative filtering recommfinishations built from collected utilizer-item interactions, that are still foundational to our product.
One of the first real challenges we faced was creating the solution accessible to non-developers by creating an admin UI. We also spent a lot of time and energy convincing businesses of the value of personalization at a time when AI and recommfinisher systems were poorly understood.
When exactly did you launch your product? Or when the launch is planned?
We founded the company in 2015. Early versions of the product were already in utilize that year with a few clients, before Gabriela Takáčová joined as co-founder to build the business operations and drive growth, taking Recombee from a handful of early adopters to usage on thousands of sites worldwide, including some of the world’s largegest platforms.
Tell us about the stratup’s business model. How do you monetize your product?
Recombee utilizes a subscription-based, pay-as-you-go model. Pricing is based on usage (number of recommfinishations, catalog size, active utilizers) with multiple tiers (Free, Standard, Plus, Pro, Premium). Higher tiers include advanced support and custom model adjustments.
What are your tarobtain markets and consumers?
Recombee serves mid-market and enterprise companies with large catalogs and utilizer bases. Key industries are news & media, video and audio streaming, deal aggregators, real estate, gaming, and e-commerce/marketplaces. Current focus is especially strong on media and publishing. We’ve created real inroads there thanks to clients like The Telegraph, DAZN, Fox News, 9gag, and Pepper.
If the startup has already launched the product, what are the results: metrics, income, or any clear indicators that can be evaluated.
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We handle over 30,000 recommfinishations per second and recommfinishs over a billion items daily
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Clients have seen up to +50% CTR and +37% post views
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Case studies: 9gag increased utilizer session duration and return rates; DAZN and The Telegraph utilize Recombee for large-scale, real-time personalization.
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The company generates approximately $6M in annual recurring revenue
What about your team? How many people are working in the startup? If you’re seeing for new employees, indicate whom exactly.
Recombee employs over 50 people. We are a group of hi-tech enthusiasts, and we constantly see for open-minded, creative and passionate people to join our team in the vibrant city of Prague.
Have you already raised any investments? Provide us with more details on each funding round: the amount, investors, the purpose of the investment.
We are fully indepfinishent and bootstrapped.
What’s next? Tell us about your future plans.
We’re currently preparing to launch in-UI A/B testing to assist customers easily optimize their recommfinishations. We’re expanding LLM-powered features such as homepage row creation and emerging topic detection to streamline curation and surface trfinishs.
Strategically, we’ve shifted focus somewhat toward the global media and publishing markets, all while continuing to grow in video, marketplaces, and streaming.
Our long term mission is, however, basically unmodifyd. We’re here to empower businesses with world-class personalization tools that combine AI automation with human editorial control.
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