> For the complete documentation index, see [llms.txt](https://davidadeola.gitbook.io/influx-ai-whitepaper/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://davidadeola.gitbook.io/influx-ai-whitepaper/2.0-introduction.md).

# 2.0 Introduction

Influx ▪︎AI is a platform that integrates big data, AI, and Web3 technologies to solve business problems. For commercial companies, we solve the problem of data silos, and for users, we will solve the problem of data presentation.

**2.1 Background**

Data is a key resource in today's business environment, yet traditional management creates data silos. While Web3 technologies offer decentralized data exchanges, they fall short in data processing and presentation. AI has shown potential in data mining and recommendations but is limited by data accessibility. In the past technological wave, some web3 companies have tried to solve this problem in niche areas, such as SWIFT trying to connect the data islands of traditional finance and on-chain finance, and GXC trying to achieve efficient point-to-point data transactions between data buyers and sellers. \
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**2.2 Objectives**

* Integrate AI and Web3 to break down data silos.
* Establish a decentralized data exchange ecosystem.
* Enhance data presentation and user interaction with MM-LLMs.

**2.3 Scope**

This white paper covers the technological framework, economic model, use cases, benefits, risks, and future directions of Influx ▪︎AI.

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