[webinar] Behind the Build with Rime and Telnyx

​Most teams can get a TTS demo working. Far fewer understand what makes a TTS model actually good, or what it takes to deploy that model well in production.

​In this session, Lily Clifford, CEO of Rime, and the Telnyx team will cover both sides of that problem.

​Lily will walk through why building a strong TTS model is hard in the first place, including the tradeoffs behind latency, naturalness, multilingual support, and voice consistency.

​Telnyx will cover what it takes to bring that model into production voice AI, including infrastructure, routing, media streaming, APIs, and the call path decisions that shape latency, reliability, and overall call quality.

​Expect a practical discussion, a technical walkthrough, and open Q&A.

​We’ll cover

• ​Why building a strong TTS model is hard

• ​The tradeoffs between latency, quality, multilingual support, and consistency

• ​What teams often miss when evaluating TTS for real voice AI use cases

• ​What changes when you move from a model demo to production deployment

• ​How infrastructure and call path choices affect latency, jitter, and reliability

• ​How TTS fits into real-time voice AI systems

​You’ll leave with

• ​A clearer view of what goes into building a strong TTS model

• ​A better sense of what production deployment actually requires

• ​A more practical framework for evaluating TTS in real voice AI systems