The team at Docent straddles the art and science spheres harmoniously, co-producing what we believe to be a radical new platform to engage with contemporary art. We bring passionate expertise and a breadth of knowledge from across the contemporary art ecosystem together with the visionary research of leading scientists and thinkers in the realm of machine learning.
Art+
Science
Helene Nguyen-Ban
Helene Nguyen-Ban
CEO
After more than a decade-long career in luxury management at LVMH, Founder and CEO Helene Nguyen-Ban's foray into contemporary art began first as a passionate and curious collector and later as an esteemed gallerist. Nguyen-Ban’s primary motivation today is to nurture the converging space between art and technology.
Mathieu Rosenbaum
Mathieu Rosenbaum
CSO
Mathieu Rosenbaum is a professor in Applied Mathematics and acting Chair in Machine Learning and Systematic Methods at Ecole Polytechnique in Paris. He received the European Research Council Grant in 2015, the Louis Bachelier Prize in 2020 and the Quant of the Year award in 2021.
Technology
Harness the Power of Machine Learning to Discover Art Beyond Your Echo Chamber

Docent’s technology uses data and human expertise to create personalised recommendations unique to each user. Sourcing the most reliable and accurate information about artists, we trained our algorithms under the supervision of a team of art experts, both in-house and in collaboration with galleries and institutions, to ensure that Docent’s recommendations are relevant and captivating.

We acknowledge that a single work of art is a node in a complex web of signifiers and attributes. Docent’s algorithms form associations between artworks based on multiple perspectives and attempts to map the social, cultural and aesthetic complexities that exist in and around a work of art.

With Computer Vision Technology, we developed a large range of potential criteria to asses the aesthetic patterns and visual characteristics of a work of art, specifically designed for the nuances of contemporary art. In combination with Natural Language Processing (NLP), our algorithm reads millions of text-based information in order to decrypt and capture the themes and topics an artist might engage with in their practice.

Docent seeks to enhance an individual’s knowledge of contemporary art by offering an opportunity to tap into a collective, human intelligence, made more visible through technological advancement. Our unique algorithm evolves as you evolve, empowering you to discover, learn and appreciate art from multiple perspectives.

Manifesto
Designed for and transformed by our community

We, at Docent, are on this journey with you. Our mission is to continuously self-assess, improve and create an app that we hope will transform and be transformed by our community.

Our community values are based on a deep passion for art, a desire to educate, striving to create a virtuous cycle benefitting and engaging the art ecosystem.

Eliminate Bias and Embrace Diversity

We are aware of the power that algorithms and social media may have in shaping and defining our knowledge base today and at times amplifying existing biases. At Docent, we have a clear ethos to attempt to eliminate bias and embrace diversity.

As societies continue to systematically and institutionally address the existing cultural and human biases that pervade cultures, Docent recognises the possibility of machine learning to address these issues by presenting more than what is just popular or hyped: our algorithm assigns an equal probability to each artist to be recommended, based on a user's preferences.

Cut Out the Noise

With the emergence and abundance of digital content, OVRs, art marketplaces, there may at times feel like an overload of information - and that is merely in the digital realm.

We believe that nothing can replicate or replace the experience of discovering art in real life. At Docent, we want to provide a streamlined entry point to access art online with greater curation and personalisation through innovative design.