AustinZzx

Glad you like it!

Hey think about the bright side of voice AI -- there are new opportunities like AI companions, AI assistant, not only the antiquated contact methodologies.

Deepgram TTS is pretty fast, but they have not publicly launched yet.

We will keep that in mind. In the meantime, if you have a working version, we are happy to feature your integration repo in our doc.

Voice cloning is definitely on our roadmap.

If you are referring to the LLM used in the demo, it's a simple GPT. If you are referring to audio data, there are some (not a lot) public datasets, although be careful of the license of the dataset. To get more data, you might want to build a studio to collect from contracted voice actors, or you can purchase from other sources.

We are dedicated to preventing that from happening. Spam calling and identity theft are key areas we will build guardrails around. Feel free to let us know if you think of any other case.

Good point, note token. benchmarking is a great tool to show differentiation. BTW, apart from what we think is important ourselves (latency, mean opinion score, etc), would you mind sharing what you want to see in such a benchmark? One key metric I like to keep an eye on is the end conversion rate of using the product, but that's very use-case specific.

Nice catch on the working -- customer is indeed more accurate than user.

For outage handling: we strive to keep up 99.9 plus up time, and in the case of a dropped call, the agent would hang up if using phone, and might have different error handling in web depending on how customer handles it.

Thank you for the support!

Yes, we are a developer tool, and we certainly get interest from clients working on customer satisfaction agents, call center agent training, etc.

I totally get that clicking in Web UI is super convenient in many scenarios, and I think GUI and voice can co-exist and create synergy. Suppose AI voice agent can solve your problem, cater to your needs, and interact like a human. In that case, I believe it would be super helpful in many scenarios (like others mentioned, waiting on line for 40 minutes is a pretty bad experience). There are also new opportunities in voice like AI companion, AI assistant, etc that we see are starting to emerge.

We are actively working on that. Thanks for the support.

Could you elaborate a bit on "my speech engine tied to a specific model provider"? Sorry, I might be lacking some context on what you are referring to here.