Voice intelligence system.
From raw audio to human-like conversation — capture, understand, reason, and respond in real time.
Six stages from sound to speech
Each utterance flows through the pipeline. Click a stage or watch it auto-cycle.
Audio Capture
Microphone, telephony, WebSocket streams
Speech Recognition
Real-time ASR, noise filtering, speaker diarization
Understanding
Intent classification, entity extraction, sentiment
Reasoning
LLM with conversation memory, RAG context
Response Gen
Dynamic responses with personality and tone
Voice Synthesis
Neural TTS, emotion control, streaming output
Stateful, interruptible dialogue
Real conversations aren't linear. Our architecture handles memory, context budgets, and mid-sentence interruptions.
Multi-Turn Memory
Session state, user profile, and knowledge base persist across turns for coherent multi-topic conversations.
Context Window Mgmt
Intelligent summarization and sliding-window strategies keep the LLM context relevant without exceeding token limits.
Interruption Handling
Barge-in detection stops TTS mid-sentence, re-routes the pipeline, and preserves conversational flow.
Deploy where your users talk
Phone lines, browsers, or native apps — same intelligence, optimized delivery.
Telephony
Replace legacy IVR trees with natural-language voice agents that route, resolve, and escalate.
< 400ms
target latency
Web
Browser-based voice assistant embedded in any web application with WebRTC streaming.
< 300ms
target latency
Mobile
App-embedded voice intelligence with on-device wake word detection and hybrid processing.
< 350ms
target latency
Performance targets and guardrails
Every voice system ships with SLA-grade metrics and enterprise safety controls baked in.
< 500ms
Response Latency
End-to-end from user silence to first TTS byte
> 95%
Recognition Accuracy
Word error rate across accents and noise profiles
> 88%
Completion Rate
Conversations resolved without human escalation
Safety Controls
Built into every voice pipeline deployment
Content Filtering
Real-time toxicity and harmful content detection on both input and output
PII Redaction
Automatic masking of SSN, credit cards, and personal identifiers in transcripts
Consent Management
Recording disclosure, opt-in flows, and jurisdiction-aware compliance
Voice intelligence in action
From front-line support to clinical triage — real problems, real outcomes.
Customer Support
Long hold times and rigid IVR menus frustrate customers and inflate costs.
Voice agents resolve Tier-1 issues, collect context, and warm-transfer complex cases.
40% call deflection, 60s avg handle time reduction
Sales Qualification
SDRs spend most of their day on unqualified leads that never convert.
AI voice qualifies inbound leads with BANT criteria before routing to reps.
3x qualified pipeline, 25% faster speed-to-lead
Healthcare Triage
Nurse lines are overwhelmed; patients wait or skip triage entirely.
Voice triage collects symptoms, urgency, and history following clinical protocols.
70% of calls triaged without nurse, HIPAA-compliant
Internal Helpdesk
IT and HR tickets pile up for password resets, policy questions, and onboarding.
Voice assistant resolves common requests and files tickets for the rest.
50% ticket reduction, 24/7 coverage without headcount
Describe what you want your voice AI to do.
Bring your use case — phone, web, or app. We architect the voice pipeline.