A full-stack,
4 layered approach.
We believe the journey from voice models to the real world now passes through voice orchestration using a full-stack, four-layered approach.
/ Real-Time
Signal Layer
Proprietary Voice Activity Detection (VAD) and adaptive noise filters separate human speech from background chatter, ensuring clarity even in noisy environments.
It handles overlapping speech and accents intelligently, enabling truly real-world conversations.
/ Conversational
Control Layer
To detect natural pauses and interruptions to maintain conversational rhythm. It enables smooth, mid-sentence contextual changes - making every exchange sound genuinely human.
/ Context aware
reasoning Layer
A Prompt Rewriter Engine captures the conversation’s intent and dynamically adjusts the flow to achieve that objective - all while staying fully compliant with guardrails and maintaining a consistent tone.
It continuously adapts prompts in real time to preserve compliance, intent, and context, with persistent memory ensuring accuracy across long, multi-turn conversations in both cloud and on-prem setups.
/ Evaluation &
Insights Layer
The built-in Voice Evaluation Engine instantly scores calls on clarity, engagement, and sentiment.
It generates summaries, insights, and next-action cues - seamlessly integrating with your CRM, or data systems.
/ Hybrid
architecture
Combines on-device signal processing with cloud intelligence to deliver seamless, real-time voice conversations.
/ Ultra
low latency
Engineered to handle large volumes of calls with minimal delay - ensuring natural, human-like responsiveness at any scale.
/ Cost-efficient performance
Achieves up to 60% lower cost-to-quality ratio compared to orchestration-only Voice AI systems, without compromising clarity or intelligence.
/ Enterprise
grade scale
Built to support millions of concurrent interactions - enabling businesses to deploy and manage large-scale voice operations effortlessly.
Full-Stack Voice AI by Hunar.AI
End-to-end hybrid Voice AI engine combining signal processing + generative reasoning
Proprietary algorithms with 2 patents pending
Native optimization for 20+ global languages and regional accents
Adaptive filters separate human speech from background noise and nearby voices
Built-in rewriter ensures accuracy, compliance, and natural flow
Inbuilt scoring, summarization, and analytics within minutes post-call
Sub-500ms response latency; lowest cost per conversation globally
Cloud-native
Native integration with WhatsApp, telephony, and ATS systems
Designed for business users — no-code setup via self-serve dashboard
Other Voice AI Platforms
Orchestration layer dependent on 3rd-party models (e.g. OpenAI Realtime, ElevenLabs, etc.)
Basic timeout or silence detection only
English-first models; degraded accuracy in multilingual environments
Struggles with real-world acoustic complexity
Static prompts; requires developer intervention
Absent — requires integration with external tools
High latency and cumulative API costs per conversation
SaaS only; limited data control
Manual integration via APIs
Developer-heavy setup with API orchestration