> For the complete documentation index, see [llms.txt](https://arqora-ai.gitbook.io/arqora_ai-docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://arqora-ai.gitbook.io/arqora_ai-docs/infrastructure-stack.md). # Infrastructure Stack ARQORA, AVEE, and Bright Vision work together to build a scalable on-chain execution ecosystem powered by intelligent infrastructure, real-time optimization & institutional-grade market participation
ARQORA, AVEE, and Bright Vision operate as interconnected layers within a broader execution infrastructure ecosystem. ``` Bright Vision Strategic Ecosystem Support ↓ AVEE Execution Infrastructure Layer ↓ ARQORA Execution & Participation Layer ``` ARQORA functions as the ecosystem’s primary execution and participation layer — connecting users with: * execution infrastructure * allocation systems * network participation * ecosystem incentives AVEE powers the ecosystem’s execution capabilities through: * real-time market analysis * structural opportunity detection * routing optimization * execution coordination * transparent on-chain verification At the infrastructure level, AVEE continuously monitors decentralized environments to optimize execution efficiency across fragmented markets. Bright Vision supports ecosystem expansion through: * strategic deployment support * ecosystem connectivity * infrastructure scaling * long-term market integration Together, ARQORA, AVEE, and Bright Vision form a scalable framework for the next generation of institutional-grade on-chain execution infrastructure. --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## 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, and the optional `goal` query parameter: ``` GET https://arqora-ai.gitbook.io/arqora_ai-docs/infrastructure-stack.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. 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.