Bay Backner portrait headshot photo artist

Artist-Technologist, Metaverse Curator, Web3 Strategist

Bay Backner is an artist-technologist, curator and web3 strategist. She is co-founder of Vueltta, an international art collective producing immersive installations in the Decentraland metaverse. Bay was formerly Director of NFT Curation and Growth for and currently contributes as a curator of and NFT Show Europe.

Bay’s art is represented by galleries in London and Europe. She uses oil paint and artificial intelligence in her artwork, most recently painting portraits of her own AI-generated ‘muses’. In 2022 she was selected for NFT Liverpool, ETH Barcelona and as a Megacube ‘Premium Artist’, showing with major names like XCOPY and ROBNESS. Her work has been exhibited at London Fashion Week and featured by Grazia magazine.

Alongside her art, Bay has been active in decentralised technology since 2006. She produced the first conference on open source mobile software in Silicon Valley then led growth strategy for brands including DeFi ICOs and decentralised social enterprise. Bay recently produced the metaverse exhibition REFUGE which raised over $28000 for Ukraine, and was invited to speak on NFTs at The Financial Times Crypto Summit.

Bay holds a degree in Physics from Oxford University and is a Teach First alumna (2003).

“Meet the anti-scroll model….Bay Backner.”
— Grazia Magazine

“Bay has an uncommon affinity and flair with paint. Very impressive.”
— Peter Duggan, Author, Artoons

Recent Presentations & Articles


  • Metaverse Art Week, Decentraland, Aug 2022
  • NFT Show Europe, Sept 2022
  • NFTs y el Metaverso, UPV Universitat Politècnica de València, Oct 2022

Artwork & Techniques : AI, NFTs, Oil Paint

Bay’s artwork layers new digital tools like AI onto classical oil painting. She spent seven years studying the techniques of the Renaissance painters, above all their use of chiaroscuro. This allowed Bay to develop her own method of painting which uses Renaissance techniques with a style and palette drawn from digital media.

Bay creates her own subjects, her ‘muses’, by training artificial intelligence with visual data sets. She then prints the newly-created ‘women’ and interprets their image as a portrait in oil on canvas. Bay will often feed the oil portraits back into the AI data sets to model her next generation of muses.

Bay currently makes and films ‘hyper-physical’ interventions into her paintings to create her NFTs as MP4s or Gif files. Fire, water, oils and embroidered threads are used to disrupt the canvas surface. Processes are often violent – even the embroideries requiring pliers and brute force to pierce many layers of paint.

Bay believes her need to layer analogue with digital and to disrupt her paintings comes from her relationship with the legacy muse-artist narrative. Her increasing use of artificial intelligence and machine learning to generate her own ‘muses’ explores this relationship further.

Bay creates and collects NFTs on the Tezos and Polygon chains. As a collector, she focuses on emerging women artists, and her own work was selected for the Women’s Museum’s genesis NFT collection.