Conversational AI • Last Updated 9/29/2023

How Replicant chose a voice API

Watch our video interview to learn how Replicant reduced talk-time latency more than 66% by switching to Telnyx.

By Odhran Reidy

Replicant uses state-of-the-art voice technology and machine learning to solve customer problems, collecting knowledge from each interaction to become smarter over time.

Replicant Co-Founder (Real Time Analytics)

Built on the Telnyx Call Control API, Replicant delivers authentic conversations driven by sophisticated real-time analytics. Watch a clip from our video interview with Replicant co-founder and CTO, Benjamin Gleitzman, to learn what he was looking for in a programmable voice API:

For Gleitzman, there was no substitute for the low-latency webhooks and access to call audio packets offered by Telnyx Call Control:

“Latency is, of course, a huge concern for us. We want to be quick.I’m sure we’ve all had a very frustrating experience of a laggy zoom call or speaking with a robot or virtual agent that took three, five, maybe ten seconds to respond over the phone. This is a recipe for frustrating your callers until they mash 0 or scream for an agent, so Replicant always strives to respond under one second - that’s very much thanks in part to the high-speed Call Control APIs that are offered by Telnyx.In addition, I would say that Telnyx Media Forking gives Replicant low-latency access to the audio packets to be able to feed our AI models. We did a survey of the scene, and, in many cases, Telnyx was the fastest provider that was there on the market.”

Watch the full interview and learn more about Replicant’s partnership with Telnyx in our Customer Story.

Want to build the future of conversational AI and contact centers? Let’s talk.

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