# Introduction ![](https://2523304903-files.gitbook.io/~/files/v0/b/gitbook-legacy-files/o/assets%2F-MfQcuMiisMMS-WcAHQC%2F-Mfx9UqWGDtszflyDRZX%2F-Mfx9fUIV9A6afNMKKB0%2FCopy%20of%20banner.jpg?alt=media\&token=06de98a9-bea9-4d5c-b96a-8bd94145866c) ## What is Eleven Finance? Eleven.Finance is a cross-chain auto-compounder, lending protocol and leveraged yield farming platform. The focus of our platform is to offer great APYs with our streamlined fee structure, dynamic approach to new strategies, being community driven all while driving value to our native ELE token. ## The beginning of Eleven Finance As the Decentralised Finance (DeFi) world grows, the search for the best yield grows with it. From the birth of the ‘Grandfather’ of yield optimisation, Yearn Finance, the space has seen a growing number of options for DeFi participants in search of the best returns. Alongside this DeFi has moved beyond the Ethereum blockchain, seeing exponential growth on Binance Smart Chain, Polygon, and many other chains. This has brought fast and cheap transactions to a growing number of platform users. In turn this has resulted in an explosion of DeFi protocols on these platform, that have brought with them countless opportunities for yield. It has now also helped bring Eleven Finance into the world. Our vaults make use of a variety of incentivised liquidity and single asset pools across these ecosystems allowing users to take advantage of our yield optimisation strategies and enjoy fantastic returns. As an extension of this our leveraged yield farming platform is a natural extension of our vault network. Allowing users to lend assets for returns or borrow funds to gain more exposure to potential farming returns. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.eleven.finance/master.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.