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Agents built on MCP and A2A protocols go beyond basic Q&A by securely integrating with enterprise tools, allowing multiple specialized agents to collaborate and automate your business processes end-to-end.
Build AI agents that communicate naturally, by voice or text—and connect effortlessly with Teams, Slack, and more.
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Interact with a Customer Support Agent through multiple modalities to get your issues resolved, receive product information, and obtain troubleshooting assistance without human intervention as the agent accesses knowledge bases and systems to provide instant solutions and documentation.
Accelerate your software development workflow with the Coding Agent, seamlessly integrated with your favorite tools like Microsoft Teams, GitHub, and Jira. Designed to empower developers and teams, this intelligent assistant automates repetitive tasks, facilitates team collaboration, and bridges communication across platforms—all while boosting productivity and code quality.
The Healthcare Agent records provider–patient interactions in real time, functioning as an ambient AI assistant to produce accurate, compliant, and thorough documentation. Integrated with EHR systems, it offers proactive prompts, generates summaries, and automates tasks, allowing providers to concentrate more on patient care than on administrative work.
Built on Agentic Retrieval-Augmented Generation (RAG), these agents deliver context-aware, domain-specific answers grounded in your proprietary data and systems. With capabilities like deep research, structured data analysis, and dynamic tool use, they serve as intelligent assistants across support, compliance, and operations—all while ensuring enterprise-grade security and adaptability.
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The Qyoob Agent orchestrates user interactions across modalities (chat, voice, API). It routes requests through the Agent Registry and MCP Gateway, coordinating tasks across services and agents. The LLM Registry dynamically selects and serves appropriate models, supporting modular workflows.
Establish secure connections to your enterprise data sources including Google Drive, Microsoft SharePoint, Amazon S3, and other cloud storage platforms. Full compatibility with major document formats: (pdf, docx, json, txt, csv ...).
The MCP Gateway connects to external enterprise tools (e.g., GitHub, Jira, Notion, Slack) while the Agent Registry manages callable agents. These enable composable, multi-agent workflows powered by external data and services, accessible via APIs.
The LLM Registry integrates both commercial (e.g., OpenAI, Claude, Gemini) and open-source (e.g., Mistral, Qwen, LLaMA) models, supporting custom deployments and flexible model selection. Privately hosted models ensure data control and cost efficiency.
All interactions pass through Tracing and Core Observability, enabling policy enforcement, auditability, and safety checks. Alignment strategies, guardrails, and red teaming practices are embedded to ensure secure and responsible AI operations.
End-to-end Observability spans all layers—tracking user input, agent behavior, tool usage, model selection, and output generation. This transparency ensures debuggability, compliance, and continuous improvement.
