Palantir Technologies had 17 patents in artificial intelligence during Q1 2024. Palantir Technologies Inc filed patents in Q1 2024 for systems and methods related to generating and displaying data pipelines based on natural language queries, determining relationships between outputs and inputs of models to chain them together efficiently, and monitoring user activity to detect anomalous actions for computer system security. These patents showcase innovative approaches to data processing, model chaining, and security measures in computer systems. GlobalData’s report on Palantir Technologies gives a 360-degree view of the company including its patenting strategy. Buy the report here.

Palantir Technologies grant share with artificial intelligence as a theme is 70% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.

Recent Patents

Application: Systems and methods for generating and displaying a data pipeline using a natural language query, and describing a data pipeline using natural language (Patent ID: US20240045863A1)

The patent filed by Palantir Technologies Inc. describes a system and method for generating and displaying data pipelines based on natural language queries. The method involves receiving a natural language query, generating a model result in a standard query language based on the query, and creating a data pipeline using elements corresponding to components of the standard query language. The process includes using computing models, generating query execution plans, and incorporating user feedback to improve query generation and data pipeline creation.

The method outlined in the patent involves the use of one or more processors to receive and process natural language queries, generate model results, and create data pipelines. By utilizing computing models, natural language processing, and confidence scores associated with queries, the system aims to streamline the process of generating data pipelines from user queries. Additionally, the method includes steps for presenting additional queries to users based on confidence scores, incorporating user explanations into model queries, and applying platform-specific expressions and operations to the data pipeline. The patent also covers generating data pipeline descriptions, presenting them on user interfaces, and transmitting them via software interfaces for enhanced usability and accessibility.

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