​Join Cartesia and Dograh for a practical, hands-on session on how to build, host, and scale low-latency multilingual voice agents using open-source infrastructure.

​We’ll show you the analyses and trade-offs needed for production-grade architecture. You'll learn about ultra-fast multilingual text-to-speech, STT with built-in turn detection and flexible workflow orchestration.

​What We’ll Cover

• ​Multilingual Voice Selection: How to configure Cartesia’s fast, natural, multi lingual voice models alongside turn-detecting STT to maintain natural pronunciation and accent fidelity across languages.

• ​Real-time Turn Detection / Interruption handling: Core primitives for handling turn-taking, barge-in detection, and streaming audio round-trips to keep conversation responses feeling human.

• ​Visual Workflow Orchestration: Building multi-step agent logic, tool calls, and context fetching inside Dograh’s drag-and-drop workflow engine.

• ​Deployment & Data Sovereignty: How to self-host your voice pipeline on your own cloud/VPC to retain full data privacy and avoid per-minute platform fees.

• ​Live demo: A demonstration of a multilingual voice agent built with these principles.

​Who This Is For

​AI engineers, developers, and technical founders building voice AI products, customer support bots, or outbound calling systems who need ultra-low latency, multi-language support, and deployment control.