Our stack unifies proprietary ASR, domain-trained LLMs, and high-fidelity voice-to-voice models to deliver seamless, human-grade conversations at scale.
End-to-end speech intelligence using in-house ASR, multilingual coverage, and ultra-low latency pipelines. Advanced semantic translation paired with domain-trained NLP/LLMs unlocks deeper conversational insights. One seamless stack driving both YuCI's intelligence and YuVoice's real-time voice automation.
Every component purpose-built for voice intelligence at scale.
Open source (Whisper), Proprietary Models, GPT Series, Gemini Series
Fine tuned (Gemma), GPT Series, Gemini Series
Transformer based classifiers for intent and entity
Enterprise TTS with streaming capability
Voice models for Voice Signals
Leveraging LLMs with context engineering
SOC 2 Type II certified with end-to-end encryption, role-based access, and audit logging.
Multi-region deployment with automatic failover and horizontal scaling.
Deep dive into YuVerse Voice Stack architecture and capabilities.
Uses a home-grown streaming ASR and enterprise ASR tuned for Indian accents, dialects, and noisy call environments; supports real-time semantic translation before LLM reasoning.
Ingests transcripts in any language, normalizes to a semantic intermediate form, and produces insights in the enterprise's preferred output language.