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 assess 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.
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.
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.
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.