Mati Staniszewski, co-founder and CEO of ElevenLabs, discusses how enterprise clients and public institutions deploy the company's conversational voice AI platform.
Insight
Staniszewski: Deploying forward deployed engineers without product feedback loops equals services
“And I feel like the second part is always frequently missed was like first, okay, if these are, you know, doing effectively a lot of the hard integration work to solve the problem, but if you don't do the second step of how you actually learn the expertise and…”
Prediction Not checkable as stated
Staniszewski predicts conversational AI will deliver human-like dialogue within 12 months
“So, so I think 12 months from now, what will happen is, is similar as we are speaking. It's, I think the technology will be able to understand us at an incredibly better way, both our knowledge, both the emotional part of that conversation and deliver, deliver…”
Assertion Not checkable as stated
Staniszewski claims ElevenLabs built the first human-quality speech model in 2022
“Built all the audio models, starting with model to produce speech text to speech model. And that was that 20, 20 to the first model that could finally cross that human like quality.”
Insight
Staniszewski: Most remaining AI audio model problems are architectural
“On audio, we think a lot of the problems that still exist are on the architecture side. We want to be solely focused on solving those architecture problems so you can actually get the best quality out there.”
Disclosure
Staniszewski: ElevenLabs will not build text-to-video foundation models from scratch
“Still a conscious decision we are taking is not creating the model from scratch. So like true text to video or like, you know, VO free type models that exist. We want to be at that intersection where we know the audio can give you the unique advantage”
Disclosure
Staniszewski: ElevenLabs embeds engineers in non-technical teams like legal and ops
“In all the small teams that we have, in all the teams that we have, we bring, even non-technical teams, we bring engineering talent in those teams. So our talent team, our ops team, our legal team, all of that will have engineers that help both. Automate some …”