🆕 We’re launching a new Forward Deployed Engineering pod with @realbasilchatha!
In just the last few months, $9B+ has been committed by OpenAI, Anthropic, Google, and Microsoft to deploy AI into the enterprise. Model capabilities are there, but it takes a lot to make them reliable and usable for customers at scale.
In our pilot episode, we dive deep into the practical realities of building enterprise voice agents with @decagon, @vapi, @retell, @smallest_ai, and @daily.
We talk about:
-> Why STT -> LLM -> TTS pipelines are used instead of voice-to-voice models
-> How to balance intelligence vs latency for different use cases
-> Why turn-taking is still not a solved problem
Check it out!
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