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AI Voice

Voice AI that works like your best human agent, every call, every language

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Skip the script. Speak human at enterprise scale.

Move beyond tone menus and scripted paths. Druid recognizes free-form speech, multi-intent requests, and business context in one natural conversation to get things done.

Natural language voice understanding

Detect intent across accents, dialects, and domain-specific vocabulary, parsing account numbers, claim IDs, and complex requests without asking customers to slow down or repeat themselves.

Voice biometrics and authentication

Verify callers by voiceprint silently, during the natural flow of conversation. No PINs. No security questions. No friction for your customer.

Multilingual support

Serve global customers in their preferred language with the same workflow execution, policy enforcement, and 
resolution quality.

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Voice AI agents that listen, understand, and resolve naturally, at enterprise scale.

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voice queries solved automatically

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context handoff to human agents

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reduction in call handling time

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languages and dialects supported 24/7

Add AI Voice to every call. Change nothing else.

AI Voice designed to fit existing telephony and contact center environments without rip and-replace projects.

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Enterprise telephony integrations

Connect natively to Genesys, Cisco, Twilio, Amazon Connect, Avaya, and all other major enterprise voice platforms at the SIP and API layer.

Intelligent routing and escalation

Handle routine requests end to end, then warm-transfer complex cases to the right human agent with full context.

Conductor-backed workflow execution

Route to human specialist agents, apply policy guardrails, and log a complete chain of decisions from first word to resolution in the same orchestration engine.

Multilingual voice agents. Consistent experiences with a local touch.

Serve global customers in 110+ languages and dialects with one agent, one set of flows, and one compliance framework. No per-market rebuilds. No parallel deployments.

Real-time language detection

Detect and switch language in the first seconds of conversation with no IVR menus, no transfers to specialised queues.

Accent & dialect recognition

Understand regional accents, informal speech, domain jargon, and complex multi-intent requests without asking customers to slow down or repeat themselves.

Same compliance, every market

Enforce the same business rules, escalation policies, and regional regulations across every language from a single agent configuration.

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Every call measured. Every insight yours.

Voice should be measurable like every other channel. Druid brings visibility, analytics, and operational control into the voice layer.

Real-time transcription and analytics

Transcribe, analyze, and log every call with sentiment detection, intent tracking, and compliance visibility.

Operational insight

Your supervisors see call flows, escalation patterns, AI driven insights and trends so they can continuously optimize agent performance.

After-call automation

Capture summaries, update systems, and reduce manual wrap-up work after the interaction ends so you human agents can move straight to the next conversation.

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Frequently asked questions

Get answers to the most common questions about Druid's voice AI agents and the platform's capabilities before your demo.

What speech recognition architecture does Druid AI Voice use?

Druid’s voice combines ASR (Automatic Speech Recognition) with domain-adapted language models that parse account numbers, claim IDs, product names, and multi-intent requests from natural speech. It processes free-form input across accents and dialects without requiring callers to follow menu-driven prompts.

How does real-time language detection and switching operate?

The ASR layer identifies the caller’s language within the first seconds of speech and switches the processing pipeline with recognition model, NLU, response generation, and TTS, without dropping context. Mid-call language switches are handled inline, supporting 110+ languages and dialects from a single agent configuration.

What telephony integration protocols are supported?

Druid connects at the SIP and API layer to Genesys, Cisco, Twilio, Amazon Connect, Avaya, and other CCaaS/PBX platforms. Inbound and outbound calls route through the same Conductor orchestration engine, with no changes to existing telephony infrastructure required.

How are voice interactions logged and analyzed?

Every call is transcribed in real time with sentiment detection, intent tracking, and compliance markers. Transcripts are indexed alongside the Conductor execution trail, enabling drill-down from aggregate voice analytics into the specific orchestration path, knowledge retrieval, and system actions for any individual call.

What after-call automation does Druid perform?
Post-call, Conductor triggers automated wrap-up: generating interaction summaries, updating CRM and case management records, sending confirmation messages, and closing workflow items. This eliminates manual data entry and reduces average handle time by removing post-call administrative overhead.

What voice performance metrics does the platform capture?
Containment rate, first-call resolution, average handle time, escalation ratio, accuracy, intent recognition precision, sentiment distribution, and per-call latency are a couple samples. More than 50 metrics including revenue generated or time-saved feed into customizable analytics dashboards with natural language query, drill-down by queue, language, period, and agent type.

Connect what matters. Make work feel effortless.

See how proven AI agents work for you

Inside real systems, in real scenarios, with accuracy, reliability, and control. So your work feels simpler, not harder.

See it in action