Shunya AI™
Real-time cognitive speech translation, transcription and transformation across 42 Indian languages — built for calls, conferencing, courtrooms, healthcare and broadcast, with over 95% contextual accuracy. Backed by 250+ APIs.
Shunya AI is a cognitive AI-based multilingual speech transformer and transcriber built for real-time speech-to-speech, speech-to-text, and translation across India's linguistic complexity. It understands speech as communication, not as isolated words — engineered for the reality of Indian conversation: code-mixing, regional accents, and fast transitions between languages.
What Shunya AI actually does.
Real-time speech transformation
Live speech transformation instead of delayed translation pipelines — usable inside an active conversation, not after it ends.
Native to live communication
Works across audio calls, video calls, meetings, conferencing, broadcast workflows and media processing where low latency is essential.
Handles Indian language complexity
Processes dialects, accents, code-mixing, multilingual switching, and region-specific speech behaviors common across India.
Cognitive understanding over word mapping
CINTENT detects intent and preserves context instead of stopping at sentence-level translation.
From input to output.
Input
Live stream or batch audio capture from calls, meetings, broadcast workflows, or media files.
Processing
Speech-to-text and translation convert spoken language into structured multilingual content in real time.
CINTENT
Cognitive intent and context alignment refine raw translation into meaning-preserving, enterprise-ready output.
Output
Text, subtitled video, or synthesized voice is returned for direct use inside communication workflows.
The layers underneath.
Audio Signal Processing
Noise reduction, acoustic enhancement, voice activity detection, speaker diarization, channel normalization.
Shared Multilingual Encoder
Conformer/Transformer-based encoder trained on multilingual acoustic representations, capturing universal speech patterns.
Contextual Routing & Adaptive Language Layer
Word/phrase-level language detection, adaptive routing for language transitions, real-time code-mixing handling.
Language-Specific Acoustic Heads
Fine-tuned acoustic models per language with phoneme precision and dialect/accent adaptation.
Cognitive Intent & Semantic Layer
Intent understanding, contextual reasoning, entity recognition, sentiment and tone, discourse continuity.
Output & Intelligence
High-accuracy transcription, translation, insights & analytics, workflow integration.
Preliminary benchmarking across 6 Indian languages + English shows ~10% better quality and performance versus major commercial speech systems. Built natively for Indian languages and accents — not adapted after the fact.
Every product here runs on the same shared cognitive core.
Intent, context, memory, reasoning, orchestration and governance — unified, so Shunya AI reasons the same way every other product does.
