Instant AI Evaluation of
The Art Recognition AI system assesses the authenticity of an artwork
just by analyzing its photograph.
Welcome. Art Recognition offers a new, innovative AI authentication system to art lovers and experts. Our program evaluates the authenticity of an artwork by analyzing its photographic reproduction. It is complementary to traditional authentication methods while being fast, reliable, non-invasive, and unbiased. By offering this program to the art world, we want to contribute to the integrity and transparency of the art market.
Dr. Carina Popovici
Carina holds a PhD in theoretical particle physics, and has worked as a quantitative risk specialist in the Swiss banking industry. She has a broad interdisciplinary interest which enabled her to develop advanced AI algorithms with applications in physics, finance and art.
Christiane holds a diploma in Applied Mathematics and has more than 20 years’ experience in the banking industry. Throughout her career, her primary focus has been the development of financial forecasting models. She has lead numerous cross-divisional and international teams and projects.
Ully ran the Sotheby’s Zurich branch office for almost a decade, after having worked in their impressionist department in London. He is now successfully leading his own business, specializing in 19/20th art.
Prof. Dr. Eric Postma
Eric is Professor in AI at Tilburg University (the Netherlands) and at the Jheronimus Academy of Data Science in ‘s- Hertogenbosch. He is one of the pioneers of applying digital analysis into art and has initiated and led several projects focused on digital analysis of paintings.
Jason is the founder of Artnome – which aims at becoming the world’s largest analytical database of art works. Artnome has formulated as a mission to “Improve the art historical record through better data to help fight against forgery”.
«Die Idee»: Mit einem Algorithmus Kunstfälschungen erkennen
L'algoritmo che svela i falsi
Radiotelevisione svizzera, 06/23/2020
Künstliche Intelligenz und Kunstfälschung
Radio Bayern 2, 05/05/2020