U.S. Patent Nos. 11,200,622 and 11,449,944 are directed to a Computerized Art Investment Estimation System. The claims of the patents cover particular ways of estimating the investment potential of an artist, based on data from prior sales of works by that artist, and based on individualized weights that indicate how heavily particular investment metrics such as Market Adjusted Risk Per Unit of Return, Percent Sold, Relative Liquid Market Size, and Loss Likelihood will factor into the estimation. The claims recite the use of a trained AI model to predict the estimation artist investment potential value, and a tool for selecting another artist within the database who outperforms a current artist under query using the current value of the weights. In this way, the claims cover a system that can enable a user to find other artists to invest in who are estimated to have a higher investment potential than an artist the user is currently interested in.

U.S. Pat. No. 11,200,622 also includes a claim to a system for estimating a predicted price of a work of art by an artist, or a predicted artist investment potential, using a trained AI model. The AI model is trained using feedback training to minimize the error between price or AIP predictions generated by the model and actual sales prices. The patents provide exclusive rights to the claimed inventions and would prohibit competitors from adopting such systems without a license.