Abstract: A method of providing a loan credit to a customer before the customer requests the loan comprises obtaining, by a server, personal information for a customer by a credit broker application executing on the server, executing, on the server, a plurality of lender approval models using the personal information for the customer as input to each lender approval model, where each lender approval model is stored on the computer system in a byte code format as part of a private blockchain system, generating, by the server, a plurality of loan, evaluating, by a credit broker application executing on the server, the plurality of loan approvals based on a credit broker rule set, selecting, by the credit broker application, one of the loan approvals by the credit broker application, and presenting information to the customer comprising the terms of the selected loan approval by the credit broker application.

Abstract: A method of anonymously matching a buyer to a seller comprises receiving, at a server from the buyer, an approval model in byte code format, encrypting, by the seller, customer data to produce encrypted customer data, executing, by the server, the approval model using the encrypted customer data as an input, generating, by the server from the executed approval model, a transaction response, determining, by the server, that the transaction response comprises an approval of at least one product, publishing, to the server by the seller, the product lead, receiving, at the server from the buyer, an acceptance of the product lead based on the approval, and sending, by the server, the customer data to the buyer in response to receiving the acceptance of the product lead. The customer data can correspond to a product lead.

Abstract: A method of providing a loan credit to a customer before the customer requests the loan comprises obtaining, by a server, personal information for a customer by a credit broker application executing on the server, executing, on the server, a plurality of lender approval models using the personal information for the customer as input to each lender approval model, where each lender approval model is stored on the computer system in a byte code format as part of a private blockchain system, generating, by the server, a plurality of loan, evaluating, by a credit broker application executing on the server, the plurality of loan approvals based on a credit broker rule set, selecting, by the credit broker application, one of the loan approvals by the credit broker application, and presenting information to the customer comprising the terms of the selected loan approval by the credit broker application.

Abstract: A method of anonymously matching a buyer to a seller comprises receiving, at a server from the buyer, an approval model in byte code format, encrypting, by the seller, customer data to produce encrypted customer data, executing, by the server, the approval model using the encrypted customer data as an input, generating, by the server from the executed approval model, a transaction response, determining, by the server, that the transaction response comprises an approval of at least one product, publishing, to the server by the seller, the product lead, receiving, at the server from the buyer, an acceptance of the product lead based on the approval, and sending, by the server, the customer data to the buyer in response to receiving the acceptance of the product lead. The customer data can correspond to a product lead.