Systems and methods for optimizing due diligence
AssigneeAccudiligence LLC
InventorsTorpum Jannak, Nanthawan Jannak
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Abstract
Systems and method for optimizing due diligence are disclosed. The system includes a server designed to generate a centralized platform and configured to receive an initial health assessment landscape pertaining to a subscriber on a centralized platform operated by the server. The plurality of health assessment data is extracted from the initial health assessment landscape. The system generates a risk assessment score associated with the subscriber. The system further includes a communication module configured to host communicative sessions over the centralized platform in a manner that securitizes confidential or sensitive data subject to transactions occurring over the centralized platform.
Claims15
A method for due diligence optimization comprising:
- receiving, via a server, an initial health assessment landscape pertaining to a first subscriber on a centralized platform operated by the server;
- extracting, via the server, a plurality of health assessment data from the initial health assessment landscape;
- storing training data that comprises a plurality of training instance, wherein each training instance of the plurality of training instances corresponds to at least a subset of the plurality of health assessment data;
- utilizing one or more machine learning techniques to train a classification model based on the training data;
- identifying a first plurality of feature values associated with an optimum health assessment landscape;
- identifying a second plurality of feature values associated with the initial health assessment landscape;
- inserting the first and second pluralities of feature values into the classification model that generates an output that is a score indicating a level of risk associated with the first subscriber;
- and
- presenting the first subscriber to a second subscriber based upon the score exceeding a predetermined threshold.
A system for due diligence optimization comprising:
- a server configured to:
- receive an initial health assessment landscape pertaining to a first subscriber on a centralized platform operated by the server;
- extract a plurality of health assessment data from the initial health assessment landscape;
- store training data that comprises a plurality of training instance, wherein each training instance of the plurality of training instances corresponds to at least a subset of the plurality of health assessment data;
- utilize one or more machine learning techniques to train a classification model based on the training data;
- identify a first plurality of feature values associated with an optimum health assessment landscape;
- identify a second plurality of feature values associated with the initial health assessment landscape;
- insert the first and second pluralities of feature values into the classification model that generates an output that is a score indicating a level of risk associated with the first subscriber;
- and
- present the first subscriber to a second subscriber based upon the score exceeding a predetermined threshold.
A system for facilitating communications for due diligence optimization comprising:
- a server communicatively coupled to a communications module;
- wherein the communications module is configured to:
- generate a timeline including a plurality of slots;
- wherein each slot of the plurality of slots is configured to receive at least one filtered data item from the server;
- receive a plurality of evidence from the server;
- partition the plurality of evidence among the plurality of slots based upon a determination generated by the server;
- wherein the determination is based upon an analysis rendered by a machine learning server;
- generating a maturity score of a user associated with the timeline based on the at least one filtered data item.
Dependencies are inferred from the claim text.