Answer in the language they asked in
20+ languages including 22 Indian languages through Bhashini, with mid-call switching for the customer who moves between languages naturally.
- Start with one module
- No rip-and-replace
- Hosted in the region you choose
Illustrative interface. Providers shown are configurable per language; the call figures are sample data. The screen shows OptiML's language and provider routing: a table pairing each enabled language with its speech-to-text and text-to-speech provider, including Bhashini and Sarvam for Indian regional voice and a provider in failover. Below it, one call switches from Indian English to Hindi mid-conversation, and the trace shows the text-to-speech provider, the Hindi knowledge articles and the Hindi-speaking queue it would route a handover to.
The caller switches. So does the agent.
Language is detected at the first turn and followed through the conversation, not fixed by the number they dialled.
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Step one
Enable the languages
Enable the languages you need; regional Indian voice runs through Bhashini and Sarvam.
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Step two
Tag the knowledge
Tag knowledge articles by language, or let on-the-fly translation cover the gaps.
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Step three
Detect and switch
The agent detects the language at the first turn and switches mid-conversation as needed.
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Step four
Hand over in language
Route to a human who speaks that language when handover is required.
What makes the switch survivable
Speech, knowledge, the widget and the handover all have to follow the language, or the switch is cosmetic.
Multilingual, including mid-call
20+ languages, with 22 Indian languages available through Bhashini. The agent detects a language change within a conversation and switches with it. A customer who opens in English and slips into Hindi is followed, not restarted.
Every engine, no lock-in
Speech-to-text runs across Deepgram, Whisper, AssemblyAI, Google, Azure and AWS Transcribe; text-to-speech across ElevenLabs, OpenAI, Azure, Google, PlayHT and Cartesia. Bhashini and Sarvam cover Indian regional voice. A quality/cost router picks the cheapest provider that clears your quality floor, and automatic failover means a provider outage never drops a call.
Knowledge in the language it exists in
Knowledge articles are language-tagged, with on-the-fly translation and locale-aware search. Where a policy exists in one language only, the agent still answers from it and still cites it, rather than falling back on the model’s own idea of the answer.
Voice that’s yours, in each language
Neural voices come with SSML, emotion and tone control, plus per-agent speed and stability settings. Voice cloning produces a branded voice from a sample. Speaker biometrics identify the caller by voice.
The widget speaks too
The web widget ships in 14 locales with right-to-left support for Arabic and Hebrew. It is themeable through presets or CSS variables and voice-capable, so the language the caller gets on the phone is the language the visitor gets on the site.
Handover to someone who speaks it
When an AI agent hands over, the human receives the transcript, a summary, the extracted entities, the sentiment trajectory and the reason for handover. Assignment is automatic based on skill, priority, geography and availability.
What you need before you start
Your target languages and your content, in whatever languages it exists.
In practice
A government service line answers in the citizen’s own language across a dozen regional languages, by voice, for callers who never open an app.
You’ll need
- Your target languages. The ones your customers actually contact you in, including the regional ones.
- Your content, in whatever languages it exists. Language-tagged where it exists; on-the-fly translation covers the gaps until it does.
We publish outcome figures only with the customer's written approval, so this slot stays empty until one is signed off. In the meantime the mechanism above is the honest version.
Customer story
A named customer story replaces this block once the quote and the figure are approved in writing. Until then the scenario above stays unnamed and generic, and no language-coverage figure appears on this page.
Regional voice at regional economics
20+ languages
Including 22 Indian languages through Bhashini. A mid-call language switch continues the conversation instead of restarting it.
8 + 8 speech engines
Eight speech-to-text and eight text-to-speech engines behind one adapter layer, with automatic failover if a provider goes down.
A quality/cost router
Picks the cheapest provider clearing your quality floor. Bring your own model and your own key, and the vendor contract stays yours.
16+ regional compliance packs
GDPR, HIPAA, CCPA, TCPA, PCI-DSS, DPDP, FINRA, the EU AI Act and more, applied per jurisdiction.
The capabilities behind it
Each of these is a product surface with its own page, not a bullet on this one.
Multilingual voice
Real-time voice over WebRTC with barge-in, per-agent endpointing and language detection that switches mid-call. Voice AIBhashini and Sarvam
22 Indian languages through Bhashini and Sarvam for low-cost regional voice, behind the same provider adapter as every other engine. The AI layerMultilingual knowledge
Language-tagged articles with on-the-fly translation and locale-aware search, cited on every answer. KnowledgeLanguage routing
Routing on intent, skill, priority, caller geography and time of day, into a queue where someone speaks the language. OmnichannelSpecification
Every figure on this page is a platform figure, not a customer outcome.
| Languages | 20+, including 22 Indian languages |
|---|---|
| Speech-to-text | Deepgram, Whisper, AssemblyAI, Google, Azure, AWS Transcribe, Bhashini, Sarvam |
| Text-to-speech | ElevenLabs, OpenAI, Azure, Google, PlayHT, Cartesia, Bhashini, Sarvam |
| Failover | Quality/cost router across providers, with automatic failover |
| Media pipeline | WebRTC, open and standards-based |
| Knowledge | Language-tagged articles with on-the-fly translation and locale-aware search |
| Widget locales | 14, with right-to-left support |
| Routing | Intent, skill, priority, caller geography and time of day |
| Handover | Transcript, summary, entities, sentiment trajectory and reason, with automatic assignment |
Related use cases
Replace your IVR
Retire the menu tree without changing your number, in every language you serve. Read the use caseAfter-hours & overflow
Cover the hours you don’t staff, in the languages you staff for during the day. Read the use caseAppointment booking
Booked against real availability, reminded in the customer’s preferred language. Read the use caseThe platform underneath
Everything on this page is the OptiML CX Platform configured for Multilingual support, not a separate product. These are the modules it leans on.
See it handle one of your real conversations
Bring a call recording, a policy document or a WhatsApp thread from your own operation. We will ground an agent in it and run it live on the call — not a canned demo.
- 30 minutes
- A working agent grounded in your content
- No slide deck unless you want one
Book a demo
30 minutes, on your own content. No slide deck unless you want one.
Your details stay private. We never share them.
