To be future-proof in the 21st century and fully partake into the digital economy, the art sector needs a public identity layer for artworks and cultural objects.
Today there is no universal way to identify artefacts,
unlike is the case for books (ISBN), stocks (CINS/CUSIP) or vehicles (VIN).
The multiplicity of solutions to identify artworks and to anchor associated lifecycle events, leads to inefficiencies and unsustainable practices, such as
INFORMATION LOSS AND DISTORTION
We are a consortium across the full spectrum of the art environment, from market leaders to startups and professionals, bringing together artists, artist estates, art historians, curators, advisors, dealers, commercial galleries, art-tech companies, non-profit organisations, museums, insurers, lawyers, valuation experts, collectors...
Our mission is to establish and promote a new universal standard for uniquely identifying artworks.
With this cornerstone in place, our vision is to help build a shared economy, indexing the art world as Google indexed the internet, but with protocols such as secure encryption keys dealing with required privacy, confidentiality, and security for this market: a frictionless environment at the intersection of physical and digital spaces, where artwork-related data can be smoothly found, traced, exchanged, analysed, enriched and validated/verified.
How are doing this? We are leveraging blockchain technologies by introducing a parent ID (AIS DID) interoperable across multiple platforms.
Art Identification Standard is a non-for-profit initiative. Join us!
Identification standards support a sustainable and fairer art ecosystem, ultimately benefiting its stakeholders
Unique object identification is the cornerstone to provenance and authentication
Identification doesn't generate money, it is instead a tool to enhance business models and operating systems
A common language across the art sector to uniquely identify an artwork and capture its lifecycle improves the fluidity of exchanges (trust, efficiency, velocity...)
Artists need to be empowered by having control on how their data is used