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Rime
Text-to-speech company from San Francisco whose Mist and Coda voice models power phone ordering, contact centers, and voice agents in real time.
Voice agent builders and enterprises running high-volume phone calls, drive-thru ordering, or healthcare lines where latency and pronunciation matter.
Creators who want expressive narration for audiobooks or video, or teams that need many production languages on the low-latency model.
Verdict
Rime is a speech synthesis company in San Francisco, California, founded in 2023 by Lily Clifford, who left a computational linguistics PhD at Stanford to build it, with co-founders Brooke Larson and Ares Geovanos. Voice agent platforms and enterprises such as LiveKit, ConverseNow, and Trillet use its Mist v3 and Coda models to speak in live calls, with self-hosting, custom voices, and pronunciation control. It matters because a voice agent that pauses or mispronounces a customer's name sounds broken, and Rime is tuned for the phone conversation rather than narration.
Score Breakdown
How Rime scores in the categories that matter to its buyers.
Pricing
Rime prices by characters of text, about one minute of audio per 1,000 characters. Enterprise moves to volume pricing.
| Plan | Price | What stands out |
|---|---|---|
| Starter, Mist v3 | $0.03 per 1,000 characters | Lowest latency, 20 concurrent generations |
| Starter, Coda | $0.05 per 1,000 characters | Most natural expression |
| Enterprise | Custom | Unlimited concurrency and voice clones, SLAs, cloud, on-prem, or VPC, BAA |
The Field at a Glance
How Rime compares with other Voice, speech & multimodal pipelines vendors we reviewed, by Overall Score and relative typical engagement cost.
Rime scores 7.9 in Voice, speech & multimodal pipelines, under Deepgram (8.0), level with AssemblyAI (7.9), and ahead of ElevenLabs (7.8). Relative cost lands lower for this subcategory.
Use-case matrix
| Use case | Fit | Notes |
|---|---|---|
| Phone ordering and contact centers | Strong | Built for high-volume live calls. |
| Voice agent frameworks | Strong | Integrates with LiveKit, Pipecat, and Twilio. |
| Healthcare calls | Strong | HIPAA BAA and SOC 2 Type II on Enterprise. |
| Self-hosting | Strong | Runs via Docker Compose or Kubernetes. |
| Many languages at lowest latency | Mixed | Mist v3 covers four production languages; Coda covers eight. |
| Audiobook narration | Weak | Voices are tuned for conversation. |
Who it’s for
Good fit
- Voice agent platforms
- Restaurant phone ordering
- Healthcare scheduling lines
Poor fit
- Long-form narration
- Teams needing dozens of production languages
- Single-user hobby projects
Review Excerpts
Below are excerpts from public reviews. Our team scoured public reviews, forums, and chat rooms to get a balanced view of customers' experience with this company. Paid reviews and pay-for-play sites such as Clutch were excluded.
“Mist v3 on a co-located endpoint has been a 3x latency improvement for us. We're consistently seeing sub-100ms TTFB in production, that's the difference between a conversation that feels human and one that doesn't.”
“Mist v3 is incredibly fast and deterministic pronunciation is a game-changer. When you're powering live conversations at scale, you can't have a model guessing brand names or proper nouns.”
“It was clear that the voice made a real impact on the phone. When guests feel comfortable right away, everything else goes more smoothly.”
The fastest model, Mist v3, lists four production languages (English, French, German, and Spanish), and the Starter plan caps concurrent generations at 20.
Methodology
This page is an independent evaluation of Rime for buyers comparing options in voice, speech & multimodal pipelines. AI Industry Reviews accepts no sponsorships, advertising, or pay-for-placement fees. Rime did not pay for this review.
What we scored
The headline number is an Overall Score on a 0-10 scale. Eight criteria sit under it in two groups.
- Buyer outcomes (for voice, speech & multimodal pipelines)
- Latency in live calls
- Pronunciation control
- Deployment options
- Language coverage
- Company & commercial
- Innovation & product leadership
- Project management & communication
- Pricing
- Contract fairness
Pricing measures whether the price looks fair for the value delivered, including packaging and renewal friction that show up in real buying cycles.
Score Composition
| Input | Weight | What it covers |
|---|---|---|
| Reviews | 40% | A proprietary read of what practitioners say about likes, complaints, and day-to-day use, including public review sites, forums, and private chat rooms. Paid reviews and pay-for-play sites such as Clutch are out of scope. |
| Product | 35% | Hands-on look at screens and workflows. |
| Pricing | 15% | Whether the price looks fair for what you get. |
| Docs & training | 10% | Docs, tutorials, and training material. |
How we balanced the evidence
The Overall Score is the simple average of the eight criteria. Recommendation language follows that score and the fit pattern described above.
Scope
Rime is graded here as voice, speech & multimodal pipelines. Criteria scores can move as more review volume and product checks are added.