Mintus Art AI Selection Tool is a pioneering virtual consultancy that seamlessly blends the world of art and artificial intelligence.
Mintus has been developing a proprietary AI / ML engine that has two objectives:
Current Valuation & Grading
Value and grade an artwork/artist to determine its current market value and future opportunity.
Future Growth
Identify artists and artworks that are either undervalued or poised for exceptional future growth.
The core components consist of:
Quantitative analysis, in the form of a ranking system based on hundreds of data sources and thousands of data fields, scraped from both public and private sources.
Qualitative analysis, by working with our industry leading team for defining rules, training the model, inputting and calibrating the AI engine.
Artist Categorisation
Speculative/Emerging: Young, unestablished artists with minimal history.
Established: Established artists with some credibility and history.
Blue-chip: Established artists with exceptional history and sales track record. Leading
Opportunity:
Identify artists in Established, who will move into Blue-chip.
In Development:
Identify artists in Speculative/Emerging, who will move into Blue-chip.
Early Identification of Emerging Artists
Prediction Accuracy
Profitability
Competition Response
Training the AI
Artist history, news, artwork, exhibitions, colour, dimensions, genres, geographical markets, country of origin, age of art work, rarity, signature, material, subject, condition, AI Image recognition based authenticity, career trajectory, cultural relevancy.Artists with early access to high-prestige institutions had twice as many exhibitions as low-prestige artists. High-prestige artists' work was traded 4.7 times more often at auction and at a maximum price that was 5.2 times higher than for low-prestige artists.
• Instagram Followers
• Artist Summary
• Text-based Qualitative Signals
• AI-led Artwork Analytics (Clustering)
• AI-led Art Price Time Series Analytics
• Quantitative Valuation
• Artwork Details
• AI-Led Forecasting on:
• Sales-Price
• Timeseries Analysis
• Similar Artwork Analysis
• Projected Price Prediction
Price Velocity in Progress
Utilising an artist career trajectory timeline to:
•Create artist clusters based off shared characteristics from collected data
•Evaluate and score an artist’s relative market value and predict future trajectory
Artist Clusters
Sales Value and Momentum
Clustering of Artwork and Artist