Translation

Serve every customer in their language, with one agent.

Real-time speech-to-speech translation across any language pair, preserving tone, sentiment and the speaker's own voice. The agent and your systems speak different languages and never notice, neural voice preservation, mid-conversation language hot-swap, low-latency inference.

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Locales

Neural voices

Inference latency

autoQA coverage

How it works

One conversation. Two languages. Nobody has to switch.

The customer speaks their language; your agent, your team and your systems work in theirs. Translation happens in the loop, real-time speech-to-speech, low-latency, voice-preserving, so the language barrier simply disappears from the call.

Speech in, speech out, across any supported pair.

01 · Real-time speech-to-speech

auto-AGENTS™ translates speech to speech in real time across any supported language pair, with low-latency inference that keeps natural turn-taking and barge-in intact. No menus, no "press 2 for Spanish", the caller just talks, and the agent answers in kind, sub-500ms.

155+

supported locales

<500ms

added latency

Voice preservationes-ES → en-US

Source · es

Output · en

98%

voice match

+0.0

tone shift

418ms

latency

neural speaker profile preserved end to end

It keeps the voice, not just the words.

02 · Neural voice preservation

Neural voice preservation carries tone, sentiment and the speaker's own profile across the language boundary. A frustrated caller still sounds frustrated; a warm rep still sounds warm. Meaning and feeling survive the hop, across 800+ neural voices and 155+ locales.

Inside the engine →

Coverage · 155+800+ voices

155+

locales · 800+ neural voices

en-USes-ESfr-FRde-DEpt-BRit-ITja-JPzh-CNko-KRar-SAhi-INnl-NL+143

Translation Quality Score96

The caller changes language. The agent doesn't miss a beat.

03 · Mid-conversation hot-swap

auto-AGENTS™ auto-detects a mid-call language change and hot-swaps ASR, LLM and TTS, without losing context. State, intents and sentiment carry across the switch, so a caller can start in Spanish, slip into French, and the agent simply follows.

context lost on swap

models hot-swapped

Language hot-swapes-ES → fr-FR

Detect language change

Mid-utterance shift from es-ES to fr-FR flagged in <1 turn.

ASR · auto-detect

Hot-swap the stack

ASR, LLM and TTS routed to the new locale with no restart.

ASR · LLM · TTS

Carry context forward

Intents, entities and sentiment preserved across the swap.

state · 0 loss

✓

Continue in fr-FR

Reply lands in French, same voice, same conversation.

418ms

In the loop

Live translation between your customer and your team.

Drop the agent between a customer and your human team or back-office systems and it translates live, both ways. The customer hears their language; your team reads theirs; your CRM, billing and tools receive clean, structured data in the language they expect. Every turn audited and reversible.

Why it matters

One agent. Every market.

Markets, one build

Serve 155+ locales from a single agent, no per-language teams, no separate flows. New markets go live the moment you flip the locale on.

Neural voices

800+ voices with neural preservation keep tone, sentiment and speaker profile intact across every pair, the experience feels native, not relayed.

Quality, scored

A Translation Quality Score from the autoQA form grades 100% of interactions, accuracy, tone fidelity and latency, turning translation into a live, learnable signal.

"Callers stay in their own language and never feel relayed, the agent even keeps their tone. We retired four language queues and our CSAT went up."

Director, Global Support

Travel & hospitality · 40 markets

Proof

One agent retires every language queue.

Point it at any market, switch on the locale, and the same agent serves callers in their language, tone, sentiment and speaker voice carried across every pair, scored on every interaction.

locales, one build

translation quality score

Connected to your stack

170+ connectors. It speaks your systems' language too.

FAQ

Translation, answered.

Real-time speech-to-speech. The caller speaks; the agent hears, reasons and replies in the target language as audio, not captions bolted onto a call. Low-latency inference adds under 500ms, so turn-taking and barge-in stay natural.

Yes. Neural voice preservation carries tone, sentiment and the speaker's profile across the language pair, so the translated audio still sounds like the person, a frustrated caller stays frustrated, a warm rep stays warm, across 800+ neural voices.

It auto-detects the change and hot-swaps ASR, LLM and TTS to the new locale without losing context. Intents, entities and sentiment carry across the switch, so a caller can move from Spanish to French and the agent simply follows in the same conversation.

155+ locales and 800+ neural voices across any supported pair, from providers including Azure, OpenAI and ElevenLabs, with custom brand-voice cloning and SSML prosody. New locales activate without a rebuild.

A Translation Quality Score, built as an autoQA form, grades 100% of interactions on accuracy, tone fidelity and latency, not a 2% sample. Scores flow into dashboards and the self-improvement loop, so quality is a live, learnable signal rather than a periodic audit.

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