Reprex

Reprex

Big data for all music organizations.

Reprex BV

rOpenGov

Yes!Delft AI+Blockchain Validation Lab

Big Data For All Organizations

We are a Netherlands-based start-up company that makes big data reliable and accountable, delivering trustworthy analytics and AI solutions. We validate multiple data sources and are able to merge private and proprietary data with open data. We bring novel insight into policy and business problems, as well as scientific research. Our work addresses the potentially negative effects of black-box proprietary algorithms. Our diverse team is particularly experienced in music, the creative industries, and digital humanities, where data is scattered in small organizations.

Our flagship demo projects are the Listen Local ethical music recommendation system based on our Demo Music Observatory data integration and knowledge sharing platform. We have validated our product/market fit in the prestigious Yes!Delft AI+Blockchain Lab. We are members of the Dutch AI Coalition and participate in the work of the European AI Alliance.

See our services: data curation, open data access, survey harmonization, reproducible research and validated trustworthy AI applications.

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Follow news about us or the more comprehensive Data & Lyrics blog.

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Team

Founders

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Andrés García Molina

Data Scientist & Ethnomusicologist

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Daniel Antal

Co-founder

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Istvan Simon

Reproducible Business Workflows

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Reka Szentirmay

Co-Founder

Team

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Emily Hansell Clark

Digital Humanities

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Kátya Nagy

Music Research Assistant

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Stef Koenis

Data Scientist & Ethnomusicologist

Recent News

For more posts, visit our blog Data&Lyrics

Projects

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Accomplish­ments

AI & Blockchain Validation Lab
Our Demo Music Observatory & Listen Local projects are developed in the music accelerator of Music Moves Europe
Dutch AI Coalition
Joined the Dutch AI PPP
AI & Blockchain Validation Lab
Formulated informed blockchain models, hypotheses, and use cases.
Reprex is founded, replacing the CEEMID project (2014-2020)

Open-Source Software

Our peer-reviewed, open source statistical software packages

We believe that transparency is the key to the highest data quality. We use only open source software. We open up the critical elements of our software for peer-review.

  • We use open-source software, there is no vendor lock-in.

  • Our data products go through many, automated (unit) tests, replacing countless error-prone human validation working hours.

  • The critical elements of our code go through external validation and peer-review by computational statisticians and data scientists.

Quickly discover relevant content by filtering our software releases..

Team

Founders

Avatar

Andrés García Molina

Data Scientist & Ethnomusicologist

Avatar

Daniel Antal

Co-founder

Avatar

Istvan Simon

Reproducible Business Workflows

Avatar

Reka Szentirmay

Co-Founder

Team

Avatar

Emily Hansell Clark

Digital Humanities

Avatar

Kátya Nagy

Music Research Assistant

Avatar

Stef Koenis

Data Scientist & Ethnomusicologist

Recent Publications

Publications featuring our datasets and technology

Quickly discover relevant content by filtering publications.

Open-Source Software

Our peer-reviewed, open source statistical software packages

Quickly discover relevant content by filtering our software releases..

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