Risk profiling and rating of extended relationships using ontological databases

This is a computer system designed to assess and rate the risk associated with individuals or businesses, particularly focusing on risks from third or fourth parties. It works by taking a natural language question, processing it with an AI, and then building a complex, time-aware network of information from various sources like government data and news. This network helps understand relationships and potential risks, which are then used by an algorithm to calculate a risk score.

Why it matters: Filed just as advanced large language models were becoming widely capable of processing and structuring vast, heterogeneous data for knowledge graph creation and complex risk analysis. The claims describe a system that could now be built more effectively and comprehensively using these rapidly evolving AI capabilities.

Status: Under examinationA pending application. It has not been granted, and it has not been abandoned.
How hard to build: SpecializedSoftware logic, NLP engine, ontological database, risk algorithms.

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