# Volumint. Revolutionizing Crypto Market-Making Using AI. At VoluMint, we're driven by a singular vision: to unlock the full potential of every crypto project and revolutionize market-making in the blockchain era using the power of AI prediction modeling. We believe in a future where liquidity barriers are dismantled, enabling every project—regardless of size—to thrive and grow in the competitive crypto marketplace. Join us on this transformative journey. The path to success for crypto projects is fraught with significant hurdles, chief among them being the critical challenge of achieving and maintaining liquidity. This challenge manifests in several key issues: **Limited Access to Market-Making:** Many small to medium-sized projects find themselves sidelined, needing help to afford the high costs associated with traditional market-making services. This results in low liquidity levels and a diminished market presence. **Lack of Trading Volume:** The need for sufficient trading volume poses a dire threat to cryptocurrencies, risking delisting from exchanges. Such an outcome severely impacts a project's visibility and erodes investor confidence. **Complexity of Market-Making Strategies:** The reliance on complex trading algorithms and infrastructure has stifled broader adoption of market-making strategies, especially among smaller projects seeking scalability. --- # 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://volumint.gitbook.io/volumint.-ai-powered-decentralized-mm/introduction-to-volumint/volumint.-revolutionizing-crypto-market-making-using-ai..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.