The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Apr. 25, 2023

Filed:

May. 14, 2019
Applicant:

Noodle.ai, San Francisco, CA (US);

Inventors:

Deepinder Singh Dhingra, Bangalore, IN;

Ganesh Moorthy, Bangalore, IN;

Praveen Singh, Karnataka, IN;

Sarfaraj Ahmad, Jharkhand, IN;

Arijit Saha, Bengaluru, IN;

Kumar Srivastava, Mountain View, CA (US);

Sourabh Chourasia, Bangalore, IN;

Ted Gaubert, Plano, TX (US);

Assignee:

NOODLE.AI, San Francisco, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 3/048 (2013.01); G06N 20/20 (2019.01); G06N 5/043 (2023.01); G06F 9/54 (2006.01); G06F 8/36 (2018.01);
U.S. Cl.
CPC ...
G06N 20/20 (2019.01); G06F 8/36 (2013.01); G06F 9/54 (2013.01); G06N 5/043 (2013.01);
Abstract

An AI platform to enable one or more users to design and create AI enabled applications is provided. The AI platform comprises a data module configured to condition data received from a plurality of data sources to generate a corresponding data pipeline; wherein the data module comprises a plurality of reusable data components. The AI platform further comprises an intelligent processing module configured to process a plurality of datasets received on the data pipeline and generate a corresponding artificial intelligence (AI) pipeline; wherein the intelligent processing module comprises a plurality of reusuable data processing components. The AI platform further includes a communication module configured to enable one or more users to select a set of reusable data components and set of reusuable data processing modules and build a corresponding AI enabled application and an AI configuration module configured to seamlessly integrate the selected set of reusable data components and the set of reusable data processing components using a plurality of standardized interfaces.


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