Two models
every conversation covered
Fine-tuning control, data ownership, and ultra-fast streaming. Our two TTS APIs have everything you need to power voice agents that perform at enterprise scale.
Coda
Flagship · Default
This is some text inside of a div block.The last TTS you'll ever need. Built on an LLM backbone with a dual-decoder architecture, trained on real full-duplex conversation: breath, hesitation, laughter and all.
<100ms
Model latency
184
voices
8
languages
Word-level
timestamps
Mist v3
fastest
The fastest time-to-audio in the industry, with deterministic pronunciation and custom pause control. For when your latency budget is brutal.
~37ms
Model latency
78
voices
4
languages
Custom
pauses
Coda
flagship
Default for new voice agents; high-stakes CX
Sub-100ms model latency
8 languages · 184 voices
Word timestamps · spell() · speed
Cloud · On-prem · Co-located endpoint
best for
latency
languages/ voices
controls
deployment
Mist v3
fastest
Hard real-time budgets; regulated flows
~37ms p50 time-to-first-byte
4 languages · 78 voices
Custom pauses · spell() · speed
Cloud · On-prem · Co-located endpoint
Real scenarios, real voices.
Pick an industry, then press play on a tone.
Voices that match your experience
professional
Cupola
calm
Eliphas
happy
Astra
casual
Vespera
professional
Cupola
calm
Eliphas
happy
Astra
casual
Vespera
professional
Cupola
calm
Eliphas
happy
Astra
casual
Vespera
professional
Cupola
calm
Eliphas
happy
Astra
casual
Vespera
What real callers think about Rime voices
Call completion
Rime voices keep customers on the line longer.
Rime
12.1%
ElevenLabs
10.3%
Google
9.7%
Callers still on the line after hearing they were talking to an AI. Miravoice, 99,400 calls, 2026. Read the study
Quality
Rime beats ElevenLabs when it comes to a voice that customers want to engage with.
Rime
67%
ElevenLabs
21%
No preference
13%
Which sounds more natural, the same lines on both. 350 blind ratings by third-party listeners (Podonos), Coda against ElevenLabs Flash 2.5.
From the teams that put us on the line
Plug into your existing stack
Use Rime with the voice agent platforms your team already trusts, or wire it into your own stack with the inference and infrastructure partners we co-engineer with.
Voice agent platforms
Ship faster with the orchestration layer your team already runs on.
Regal
Synthflow
Decagon
Inference
Deploy Rime on the infrastructure you already trust.
Baseten
Transport
Telephony and real-time audio.
Speech to text
Transcribe the caller side.
AssemblyAI
Enterprise features
What it takes to run a voice in production, not a demo.
Runs where your data lives
Cloud, VPC, on-prem, or a co-located endpoint.
BAA and SOC 2
HIPAA-ready with a BAA; SOC 2 reports on request.
600+ unique voices
We have the largest dataset of conversational voices to choose from.
Pronunciation you control
spell(), custom rules, and word timestamps, so names and IDs come out right.
SLAs and a named team
Uptime commitments and dedicated support.
Observability
Per-call latency and QA, so a regression is caught rather than heard about.
Questions, answered
How do i choose between Coda and Mist?
Start with Mist if latency is the constraint and Coda if expressiveness is. Both share the API, so testing the other one is a one-line change.
Can I bring my own voice?
Yes. Custom voice clones are trained from your own recorded talent, and enterprise plans include unlimited clones.
What does deployment look like?
Cloud by default. Enterprise plans can run in your VPC or fully on-prem, which is how teams under HIPAA or similar constraints deploy Rime.




