All solutions
Use Cases
Voice Automation
Transcribe, understand, and generate speech in 30+ languages — for call centres, voice agents, and accessibility.
Voice at scale, in every language
Customer calls in Hindi-English. Factory floor reports in Tamil. IVR prompts in Bengali. Voice automation handles the full loop — speech to text, understanding, and text back to speech — natively in the languages your users actually speak.
The voice pipeline
Speech-to-Text
Understanding & response
Text-to-Speech
Use cases
- Call centre analytics — transcribe calls in real-time, extract intent and sentiment, flag compliance violations
- Voice agents — conversational AI for phone and WhatsApp in regional languages
- IVR replacement — natural voice prompts instead of robotic menus
- Meeting transcription — capture multilingual meetings, generate searchable transcripts
- Factory floor logging — verbal reports transcribed and structured automatically
- Content narration — generate audio versions of articles, product descriptions, and training materials
- Accessibility — natural TTS for apps and websites in users' native languages
Why it's different
30
languages supported
Most voice AI breaks on code-mixed speech, noisy environments, and non-Western accents. Kundoo and Shama are trained on real-world audio from call centres, factory floors, and outdoor environments — not clean studio recordings.
Products used
Kundoo for speech-to-text. Shama for text-to-speech. Pechi for conversational AI.