Big Data For All


We make messy, fragmented, and biased data reliable and transparent. By merging public and private sources into secure data-sharing spaces, we give AI the trustworthy foundations it needs. The result: reliable analytics and scalable AI solutions that power smarter decisions in operations, planning, research, and markets.

business card

Big Data For All

Systems

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Future-Proofing Systems
Regenerative, AI-supported data spaces that not only store clean data but also preserve the know-how to repair, modernise, and extend the life of legacy systems.
Future-Proofing Systems
Eviota
Connected financial and sustainability reporting
Eviota
Listen Local
Listen Local is a trustworthy, ethical AI-powered system that aims to help great artists in small organizations and small countries using big data.
Listen Local

Accomplish­ments

 
 
 
 
 
Reprex
TextileBase
Sep 2024 – Present
TextileBase links museum, archive, and research records on garments into a multilingual knowledge graph to support dress history, cultural heritage, and sustainable fashion.
 
 
 
 
 
Reprex
FUDSS
Mar 2025 – Present
We built the Finno-Ugric Data Sharing Space as a federated platform that solves some of the hardest data challenges — linking scattered, multilingual, public and private collections while respecting local knowledge and legal frameworks. By stress-testing our methods in this complex cultural setting, we developed tools directly applicable to equally difficult business data problems across borders and industries.
 
 
 
 
 
Slovak Ministry of Culture
Smart Policy Documents Monitor National Policy
Mar 2023 – Dec 2025 Bratislava, Slovakia
Reprex’s Smart Policy Documents technology will be used to monitor the national cultural and creative industry policies of the Slovak Republic.
 
 
 
 
 
The Hague Innovators Challenge 2022
Finalist, Winner of Audience Prize
Sep 2022 – Nov 2022 The Hague, Netherlands
Our automated data observatory concept supported by a data-sharing space wins the audience prize.
 
 
 
 
 
Open Music Europe Consortium
OpenMuse
Jul 2022 – Dec 2025 Berlin, Germany
We initiated a Horizon Europe Research and Innovation action to launch our research automation tools from data collection to dissemination for scientific, business and policy partners.
 
 
 
 
 
Inova+ & European Music Council
Eviota
Jul 2022 – Feb 2023 Brussels, Belgium
Awarded project in the Green Recovery section of MusicAire.
 
 
 
 
 
Competition Policy Centre, University of East Anglia & partners
Trustworthy AI Systems Hub
Feb 2022 – Apr 2023 London, United Kingdom
With our Digital Music Observatory and Listen Local we are partners in finding potential adverse outcomes of AI-driven, autonomous music recommendation systems on market competition.
 
 
 
 
 
University of Amsterdam
Cultural Creative Sectors Industries Data Observatory
Oct 2021 – Present Amsterdam, Netherlands
A first replication and extension attempt of our beachhead product, the Digital Music Observatory to serve the film, fashion, book, design, gaming industries.
 
 
 
 
 
Slovak Arts Council & SOZA
Listen Local Slovakia Demo App & Feasibility Study
Slovak Arts Council & SOZA
Sep 2020 – Dec 2020 Bratislava, Slovakia
Formalizing our automated data observatory product and our bridghead into the music industry
 
 
 
 
 
University X
AI+Blockchain Product/Market Fit Validation
University X
Oct 2020 – Dec 2020 Delft, Zuid-Holland, Netherlands
Formalizing our automated data observatory product and our bridghead into the music industry
 
 
 
 
 
CEEMID, state51 group
Central European Music Industry Report
Oct 2020 – Dec 2020 Brussels, Belgium
A 12-country music data harmonization and reporting project with a a best-practice report.

Software

 
 
 
 
 
The new, very early stage tuRtle package helps the annotation of datasets created in the R statistical environment with the Resource Description Frameworks Turtle language for linking across the Internet.
 
 
 
 
 
Synchronize datasets with global knowledge hubs
dataset
Jun 2022 – Present
The primary aim of dataset is create well-referenced, well-described, interoperable datasets that can be easily placed on global knowledge graphs using the W3C DataSet and RDF definition, or syncronized via APIs that follow the Statistical Data and Metadata eXchange standards.
 
 
 
 
 
Our minimum viable product will create CSRD sustainability reports.
 
 
 
 
 
Make your data codes understood globally
statcodelists
Aug 2023 – Present
Use the standardized codebooks of the Statistical Data and Metadata eXchange for international, language-independent, machine-to-machine data exchanges.
 
 
 
 
 
Malta and Germany are hard to compare. Compare provinces with provinces, regions with regions. Documentation & download
 
 
 
 
 
Never start a questionnaire from scratch. Recycle questions from question banks, answer from open data repositories, and let your respondents add theirs. Documentation & download
 
 
 
 
 
Tax, employment, green house gas multipliers, induced effects, policy scenarios. Documentation & download

Recent & Upcoming Talks