System and Method of Quotation Engine for AI Asset Training

1 . A computer-implemented system for automatic training of an artificial intelligence (AI) asset, comprising:

a preprocessing engine for receiving an AI asset by upload and preprocessing the AI asset for training by:

associating a set of definition parameters and training criteria with the AI asset;

analyzing the training criteria to set a specification for training steps and process;

determining a quotation for the training having regard to known factors associated with the definition parameters and the training specification;

a transaction engine for presenting the quotation, receiving an approval of the quotation and a means of payment; and

a training engine for training the AI asset according to the specification and releasing the AI asset after training.

2 . The system of claim 1 , wherein the factors include at least one of: industry, use case, scope and use of the AI asset, desired level of accuracy, and desired level of performance.

3 . The system of claim 1 , wherein the factors include at least one of: type of third party AI assets needed for training, type and scope of data needed for training, and access cost and availability of training data sets.

4 . The system of claim 1 , wherein the factors include at least one of: estimated number of training iterations, and CPU, hardware and time to do training.

5 . The system of claim 1 , wherein the definition and training criteria are provided by the entity requesting the AI asset training.

6 . The system of claim 1 , wherein at least one aspect of the definition and training criteria is inferred or analyzed from the AI asset itself upon uploading.

7 . The system of claim 1 , wherein the known factors include known factors based on prior trainings of other AI assets by the system.

8 . The system of claim 1 , wherein the quotation is based in part on premiums or discounts based on prior quotations of other AI assets by the system.

9 . The system of claim 1 , wherein the preprocessing engine is further programmed for anonymizing the AI asset.

10 . The system of claim 1 , wherein the training includes a training methodology selected from at least one of: example collection, example generation, example curation, training/validation/test sets, loss/error and update model.

11 . The system of claim 1 , wherein the training further comprises testing the AI asset as to whether a preset level of training has been achieved.

12 . The system of claim 11 , further comprising further training the AI asset until the preset level of training has been achieved.

13 . The system of claim 1 , wherein the means of payment comprises a payment in a cryptocurrency.

14 . The system of claim 1 , wherein releasing the AI asset comprises releasing the AI asset to the entity that uploaded it.

15 . The system of claim 14 , further comprising an identity challenge.

16 . The system of claim 15 , wherein the identity challenge comprises a two-step authentication process.

17 . A computer-implemented system for automatic training of an artificial intelligence (AI) asset, comprising:

a preprocessing engine for receiving an AI asset by upload and preprocessing the AI asset for training by:

associating a set of definition parameters and training criteria with the AI asset;

analyzing the training criteria to set a specification for training steps and process;

determining a first quotation for the training having regard to known factors associated with the definition parameters and the training specification up to a first accuracy level;

determining a second quotation for the training having regard to known factors associated with the definition parameters and the training specification up to a second (and different) accuracy level;

a transaction engine for presenting the quotations, receiving an approval of one of the first or the second quotation and a means of payment; and

a training engine for training the AI asset according to the specification and releasing the AI asset after training up to the accuracy level associated with the selected quotation.