Bringing deep linguistic expertise to Voice AI

At Rime, we're on a mission to make voice AI feel more human.

We bring deep linguistic and machine learning expertise to the problem of bridging the gap between humans and machines. Our technology is designed to bring warmth, authenticity, and emotional nuance to digital interactions, making conversations with machines feel more like conversations with real people.

We believe that AI voices should reflect the full richness and diversity of how people speak in the real world.

Our Story

Rime was founded in 2022 by long time friends: Lily, a Stanford NLP PhD, Brooke, a PhD linguist and ex-Amazon Alexa engineer, and Ares, a Stanford engineer with a decade in product development.

Since then, we've added more voices to the mix: machine learning engineers, linguists, and startup veterans, all of whom are passionate about building voice AI that feels human. And we're backed by top-tier investors, including Unusual Ventures.

We are the only team working on speech generation with the deep understanding of linguistic and sociolinguistic phenomena needed to create the next generation of realistic text-to-speech.

Our Data

We train our models on a massive dataset of real conversations representing a variety of demographic characteristics, accents, and languages. Rime has the largest proprietary dataset of full duplex, multi-lingual speech data recorded from conversations with everyday people in our downtown San Francisco studio and around the US.

We also specifically train our models to handle tricky customer service scenarios, like handling brand names, currencies, lists, spellings, IDs, phone numbers, credit card numbers, and more.

Our Technology

Rime's lifelike Voice AI technology delivers ultra-natural, emotionally aware text-to-speech, letting enterprises and startups build applications that convert, retain, and sell. With sub-200ms latency on the cloud (and <100ms on-prem) plus fine-grained voice controls, Rime is redefining how businesses engage with customers through voice.