Communication

Voice Agent

Human-quality voice conversations at machine scale

Our Voice Agents conduct natural, multi-turn phone conversations indistinguishable from human operators. They handle inbound and outbound calls — from appointment scheduling and order taking to complex customer service escalations — with real-time sentiment analysis, dynamic script adaptation, and seamless handoff to human agents when needed. Built on low-latency speech-to-speech architectures with sub-200ms response times.

<200ms

Response Latency

87%

Call Resolution Rate

4.6/5

Customer Satisfaction

40+

Languages Supported

Core Capabilities

Multi-turn conversational dialogue with context retention across entire call duration

Real-time sentiment and emotion detection from vocal tone, pace, and word choice

Dynamic script adaptation based on caller intent and conversation flow

Seamless warm handoff to human agents with full conversation context transfer

Multi-language support with accent-aware speech recognition across 40+ languages

Outbound campaign orchestration with intelligent retry scheduling and compliance

Use Cases

Inbound customer service — handle enquiries, complaints, and support requests 24/7 without hold times

Appointment scheduling — manage bookings, rescheduling, and reminders across calendar systems

Outbound sales qualification — conduct initial discovery calls and qualify leads at scale

Payment collection — negotiate payment plans and process transactions over the phone

Survey and feedback collection — conduct post-interaction surveys with natural conversation flow

Emergency triage — route urgent calls with intelligent priority assessment

How It Works

Speech Recognition

Incoming audio is processed by a low-latency ASR engine optimised for telephony audio quality, background noise, and diverse accents.

Intent & Context Engine

Transcribed speech is parsed for intent, entities, and sentiment. The conversation state machine tracks dialogue history and determines the optimal response strategy.

Response Generation

A fine-tuned LLM generates contextually appropriate responses, constrained by business rules, compliance requirements, and brand voice guidelines.

Speech Synthesis

Text responses are converted to natural speech using neural TTS with prosody control, producing human-like intonation, pacing, and emphasis.

Technology Stack

WebRTCWhisper ASRFine-tuned LLMsNeural TTSTwilio/SIPRedis Streams

Integrations

TwilioGenesysFive9SalesforceHubSpotCalendlyStripe

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