Automatic Data Retrieval and Synchronization Patent Application: Enabling Efficient Data Management

Researchers at [San Francisco, CA, US] have filed a patent application for a system and method for automatic data retrieval and synchronization, tackling the challenges of manually integrating numerous applications and services. The proposed solution aims to streamline data management by utilizing trained artificial intelligence (AI) models and semantic search capabilities.

The inventors' approach involves receiving a selection of an application from a plurality of connected applications and determining, using one or more trained AI models, an action to be performed on the selected application. The system then retrieves data used to perform the action from the selected application, including automatically fetching new data updates. The retrieved data is then transferred to remaining applications for synchronization.

Key Takeaways:

• The proposed system utilizes trained AI models to determine the action to be performed on a selected application, improving efficiency and reducing manual operations.
• The system retrieves data from the selected application using embeddings and one or more vector indices, enabling effective data retrieval and synchronization.
• The system creates one or more automation flows to establish data connections between the plurality of connected applications, facilitating seamless data transfer.
• The system performs a semantic search on data received from the plurality of connected applications through the data connections, enhancing data analysis and insights.
• The proposed system is configured to train AI models through natural language processing and machine learning, enabling adaptability and improvement over time.
• The system's ability to generate natural language answers from performing actions eliminates the need for manual data processing and interpretation.

Statistics:

• 10 claims are filed in the patent application for automatic data retrieval and synchronization.
• The patent application was filed on November 27, 2024, and was made available online on June 5, 2025.
• The proposed system enables bulk-transfer of a large amount of data among the plurality of connected applications at one time or on a regular basis, improving efficiency and reducing manual labor.
• The system's use of embeddings and one or more vector indices for retrieving data from the selected application reduces data retrieval time and improves accuracy.
• The proposed system is applicable in various industries, including business, personal use, and information technology.

Sources:

• [1] U.S. Patent Application Number 20250181603, filed November 27, 2024, and posted June 5, 2025.
• [2] Patent URL: https://ppubs.uspto.gov/pubwebapp/external.html?q=(20250181603)&db=US-PGPUB&type=ids.