In this session, Rishav and Nikhil, walk you through what it takes to architect a resilient MCP framework that powers live evaluation and monitoring in GenAI workflows. From streaming real-time QA pipelines and observability hooks to embedding continuous guardrails and audit trails, learn how top teams build AI you can trust and skip the costly blind spots.

🎯 Who should watch:

This webinar is ideal for AI architects, engineering leads and product teams focused on delivering reliable, enterprise-scale GenAI.

Watch our webinar to learn:

• No-code evaluation with simple MCP commands. 

• ​Set guardrails & observe AI behaviour and reasoning in real-time.

• ​Generate tailored synthetic datasets with a simple description.

• ​Manage datasets – upload, analyse, export → directly via natural language.

• Real-world use cases for building robust MCP.

👉 Need turnkey evaluation and observability for your GenAI system? Check out our docs or book a demo for a personalized walkthrough.