Artificial intelligence supported valuation platform

A system comprising:

• a server in communication with a non-transitory storage medium having a set of instructions that, when executed, cause a processor of the server to:
• execute a set of artificial intelligence models to identify a plurality of comparable public entities comparable to a plurality of private entities, the set of artificial intelligence models comprising at least a first artificial intelligence model utilizing a distance k-nearest algorithm to identify the plurality of comparable public entities and a second artificial intelligence model utilizing a linear regression algorithm to identify the plurality of comparable public entities,
• wherein the set of artificial intelligence models are trained in accordance with a training dataset comprising known attributes of a set of public entities and a corresponding valuation for each public entity within the set of public entities;
• determine a value for each private entity based upon its respective identified public entity;
• and
• display, on a graphical user interface, an indicator of a value of a fund comprising the plurality of public entities, the graphical user interface comprising a value of each private entity of the fund where an identity of each private entity is anonymized.

A system comprising:

• a set of artificial intelligence models comprising at least a first artificial intelligence model utilizing a distance k-nearest algorithm to identify at least one comparable public entities comparable to a private entity and a second artificial intelligence model utilizing a linear regression algorithm to identify at least one comparable public entity to the private entity;
• and
• a server having a processor, the server in communication with the set of artificial intelligence models, the server configured to:
• execute the set of artificial intelligence models to identify a plurality of comparable public entities comparable to a plurality of private entities, wherein the set of artificial intelligence models are trained in accordance with a training dataset comprising known attributes of a set of public entities and a corresponding valuation for each public entity within the set of public entities;
• determine a value for each private entity based upon its respective identified public entity;
• and
• display, on a graphical user interface, an indicator of a value of a fund comprising the plurality of public entities, the graphical user interface comprising a value of each private entity of the fund where an identity of each private entity is anonymized.