# Introduction #### **Bitgrit's Mission: Democratizing the AI Revolution** Bitgrit is a project that leverages blockchain technology to provide a contest platform for AI engineers. It aims to democratize AI by making it accessible to businesses of all sizes and ensuring fair compensation for data scientists. #### **The Monopolization of AI: A Barrier to Innovation** AI technology is increasingly monopolized by large corporations, leaving smaller organizations at a significant disadvantage. This is especially true for generative AI, where the big corporations dominate use cases. As a result, smaller organizations cannot afford data consulting services, and talented data scientists often go unrecognized and underpaid for their contributions. #### **Bitgrit's Solution: Unleashing the Power of Collective Intelligence** Bitgrit is developing a unique marketplace where data-driven AI competitions are presented to a global community of talented data scientists. These experts develop tailored algorithms to solve problems using available data and resources, aiming for the highest score. By leveraging this collective intelligence, Bitgrit offers clients access to a talent pool that surpasses what any single in-house team could provide without substantial initial investment. To ensure fair distribution of value between competition sponsors and data scientists, Bitgrit integrates blockchain technology on the platform, using BGR token. #### **Bitgrit's Vision: AI for All, Powered by Collaboration** Bitgrit's AI Marketplace and competition platform aim to provide AI solutions to businesses of all sizes, ensure fair rewards for contributions to democratizing AI, and improve AI accessibility, customizability, and efficiency for the benefit of society. Beyond the marketplace, Bitgrit is dedicated to nurturing and empowering the global data science community through collaboration, job opportunities, and impactful events like the World Data Science Forum (WDSF). --- # 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-0-4.bitgrit.ai/introduction.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.