Access to art made easy

We connect museums, institutions, collectors and governments to facilitate the exchange of artwork.


Plartform is an online database showing inventory lists of museum collections & privates and their availability for exchange or loan. By combining the international data of the public and private art collectors, we centralise & digitalise information and connect lenders to renters. Hereby, we primarily centralise the fragmented, intransparent, inaccessible, and highly personal art world and overcome the analog curation process for exhibitions and its research.

Plartform grants access to internationally unexhibited pieces. The exchange/loan of art is a win-win situation for both museums and further brings hidden art to the public.


Johannes Dolle

CEO & Co-Founder

Controller and former supply chain manager at Frama Design CPH. Educated in collection management at University of Arts Berlin, BA at FU Berlin and Dauphine Paris.
MSoSc. Strategic Design and Entrepreneurship

Paul Jaeggi

COO & Co-Founder

Former Head of International Sales and Business Development at Soulland. Educated in Business Administration from HEC Lausanne.
MSoSc. Strategic Design and Entrepreneurship

Max Vellguth

CFO & Co-Founder

Work experience in Marketing & Sales at Mercedes in Berlin and Singapore. Now a Digital Business Developer at VELUX driven to create value for business and customers through digital innovation.
MSc. Management of Innovation & Business Development

Nick Kjeldsen

System Developer

Fullstack developer with experience in Smart Contracts, data processing, software modularization, Android development.
MSc. Computer Science and Engineering

Andreas Hjort

System Developer

Completed a BSc in Network technology and IT in 2018 and has 8 years of programming experience. Has worked on several programming projects in multiple languages such as Java, Python, Arduino and javaScript.
MSc. Digital Media Engineering

Jonathan Kiersch

System Developer

Has been involved in the development of the homepage and data security of this startup. Prior experience with programming and statistical analysis. Experienced in predicting statistical models through analysis and data extraction by utilizing tools such as R and Python.
MSc. Mathematical Modelling and Computation


Porcelænshaven 26

2000 Frederiksberg