Sample Use Cases

IntelliX is designed to handle a wide range of data scenarios, from structured data that requires customized validation and aggregation to unstructured data that can be processed using large language models (LLMs). In this section, we will explore two types of use cases to demonstrate IntelliX’s versatility:

1. Structured Data Use Cases with Custom Validation: These examples showcase use cases that deal with structured data but require unique methods of aggregation beyond traditional approaches like averaging or taking the median. IntelliX allows for tailored validation rules that fit the specific needs of each use case, ensuring the data is processed accurately and efficiently.

2. AI and LLM-Based Use Cases for Unstructured Data Processing: These use cases highlight how IntelliX leverages LLMs to convert unstructured data—such as contracts, reports, or emails—into structured data. This structured data is then published on-chain, enabling automated decision-making and execution of smart contracts based on real-world information.

Each use case illustrates how IntelliX can bridge the gap between complex, real-world data and the blockchain, enabling accurate and transparent automation.