Rime + Together AI: Real-time voice agents just got a whole lot better

We're thrilled to announce that Rime's voice models are now natively hosted on Together AI, the AI Native Cloud. Starting today, developers building real-time voice agents can access Rime's industry-leading text-to-speech directly within Together AI's unified voice pipeline. No extra vendors, no stitched-together integrations, no compromises.

This is a big deal. Here's why.

The voice agent problem nobody talks about enough

Building a voice agent sounds straightforward on paper: transcribe speech, run it through an LLM, synthesize a response. But in practice, teams end up duct-taping together three or four separate vendors across the stack. A speech-to-text provider here, an LLM there, a TTS API somewhere else. Every hop between those vendors adds latency. And in voice, latency isn't just a performance metric, it's the difference between a conversation that feels natural and one that feels like talking to a call center robot from 2009.

The result is often a fragile, expensive, hard-to-debug pipeline that degrades under load and requires a small army to maintain.

Together AI was built to solve exactly this problem. By co-locating STT, LLM, and TTS on a single cloud (connected over local datacenter networking rather than the public internet) they've brought end-to-end voice pipeline latency under 700 milliseconds. That's fast enough for real turn-taking. Fast enough to feel human.

And now Rime is part of that stack.

Why Rime? Because voice quality has always been the last mile

Latency gets pipelines into production. Voice quality is what keeps users on the line.

Rime was built from the ground up to make synthetic speech sound genuinely natural, not just intelligible, but expressive. Our models capture the subtle prosodic variation, rhythm, and emotional nuance that makes a voice feel alive. Whether you're building a customer service agent, a healthcare intake assistant, or a public-facing voice product, the quality of your TTS is the quality of your brand's voice.

Here's what sets Rime apart:

Expressiveness that holds up under pressure. Most TTS models sound fine on clean demo scripts. Rime sounds natural on the messy, real-world text that actually flows through production pipelines — interruptions, rephrasing, technical terminology, and edge cases included.

Latency built for live conversation. Low time-to-first-audio matters enormously in voice. Rime's architecture is optimized for streaming synthesis, so the first audio tokens arrive fast, which is critical for the sub-700ms end-to-end latency Together AI is delivering with this stack.

Enterprise-grade compliance. Voice data is sensitive data. Rime is built to meet the requirements of regulated industries, with HIPAA-compliant infrastructure and zero data retention options for deployments where data residency and privacy aren't optional. Together AI shares these commitments. SOC 2 Type II, HIPAA, and dedicated data residency are available across the unified stack.

One stack. No tradeoffs.

What makes this partnership meaningful isn't just that Rime is available on Together AI, it's how it's available. Rime's TTS is hosted natively within Together's co-located infrastructure, which means every handoff between transcription, reasoning, and synthesis stays inside the same cluster. No cross-vendor network hops. No extra attack surfaces for sensitive audio data. Just a clean, fast, secure pipeline.

For developers, this translates to:

• One API, one billing surface: no more managing credentials, rate limits, and invoices across three providers

• Swappable models without rebuilding: configure the STT and LLM that fit your use case, pair it with Rime TTS, and move on

• Access to intermediate text: unlike opaque speech-to-speech systems, Together's modular design lets you inspect and modify the transcript and response text mid-stream

For enterprises, it means a production-ready platform with unified metrics, a single security boundary, and the compliance posture to deploy in healthcare, financial services, and government contexts.

Learn more about using Rime with Together AI.