Rubra provides a unified framework to build AI-powered agents capable of interacting with external tools, APIs, or knowledge bases. Users define agent behaviors using a simple JSON or SDK interface, then plug in functions like web search, document retrieval, spreadsheet manipulation, or domain-specific APIs. The platform supports retrieval-augmented generation pipelines, enabling agents to fetch relevant data and generate informed responses. Developers can test and debug agents within an interactive console, monitor performance metrics, and scale deployments on demand. With secure authentication, role-based access, and detailed usage logs, Rubra streamlines enterprise-grade agent creation. Whether building customer support bots, automated research assistants, or workflow orchestration agents, Rubra accelerates development and deployment.

Neum AI provides an advanced framework for constructing data infrastructures tailored for Retrieval Augmented Generation (RAG) and Semantic Search applications. This cloud platform features distributed architecture, real-time syncing, and robust observability tools. It helps developers quickly and efficiently set up pipelines and seamlessly connect to vector stores. Whether you're processing text, images, or other data types, Neum AI's system ensures deep integration and optimized performance for your AI applications.