Voice AI platform for Indian languages with speech-to-text, text-to-speech, and voice conversations
Stage
Not given
Not given
Founded
Not given
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Based in
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IN
Pricing model
Open source
Contact for pricing
Pricing
Not given
Custom pricing. Billing is based on speech-to-text per second the session is open, text-to-speech per character, and Sutra per token from a prepaid wallet.
Key features
Context Ledger for curating admitted instructions, files and memory
Deterministic context admission before model processing
Workflows with Mother agent team design and checking
Love Spot drawing board with Matilda companion
Desktop app with theme customization
Support for GPT, Claude and Gemini models
Terminal and desktop app sharing state
Portable context for terminal coding agents
Speech-to-text transcription in 27 Indian languages and English
Text-to-speech with preset and cloned voices
Sutra conversation model with native Hindi and Hinglish support
Real-time language switching during calls
Voice activity detection and turn-taking support
Browser playground for voice testing
What makes it different
Deterministic context admission ensures agents see processed context before model receives it
Context Ledger provides transparent curation of agent inputs
Mother agent orchestrates multi-agent workflows with checking and merged results
Collaborative drawing interface with AI companion
Support for 27 Indian languages plus English in a single platform
Built specifically for how Indian languages are spoken and used
Language switching mid-call without dropping the conversation
Integrated voice platform combining speech, transcription and conversations
Low latency with transcript ready 0.6-0.75s after speaker stops
Elpis
Oogam