AI Voice Agents

Byggja greindur rödd umboðsmenn með sérsniðnum personas. Dreifa fyrir þjónustu við viðskiptavini, móttöku, kennslu og fleira.

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Lýsa umboðsmanni

Stillingar

Hvernig Voice Agents vinna

1. þú talar

Talk to your agent naturally. Your speech is captured and streamed in real-time.

2. STT útskriftir

Whisper breytir ræðu þinni í texta nákvæmlega á 99 tungumálum.

3. LLM ferli

Umboðsmaðurinn

4. TTS svarar

Svarið er breytt í náttúrulega ræðu með því að nota valinn rödd og líkan.

Tegundir umboðsmanna

15 fyrirfram smíðuð umboðsmaður sniðmát fyrir hvern iðnað og nota tilfelli

Viðskiptavinur

Menntun & þjálfun

Skapandi & afþreying

Viðskipti & innri

Persónulegt

Hvers vegna Voice Agents?

AI knúin rödd umboðsmenn sem kvarða með þörfum þínum

24/7 framboð

Meðhöndlaðu símtöl og samtöl allan sólarhringinn án þess að þurfa að hafa starfsfólk yfir höfuð.

Fjöltyng

Stuðningur við viðskiptavini á 30+ tungumálum með náttúrulegum röddum. Engin þörf fyrir fjöltyngt starfsfólk.

Sérsniðin persónugerð

Skilgreindu umboðsmann þinn

Lág leynd

Sub-second response times powered by optimized STT, LLM, and TTS pipelines on dedicated GPUs.

Algengar spurningar (FAQ)

AI voice agents are conversational AI systems that combine speech recognition (STT), a language model (LLM), and text-to-speech (TTS) to hold natural voice conversations. They can answer questions, follow instructions, and complete tasks autonomously — like a virtual receptionist or support agent.

Voice chat is a general-purpose 1:1 conversation with AI. Agents are purpose-built for specific tasks — they have a defined persona, knowledge base, and workflow. An agent might be a customer service bot that follows your FAQ, while voice chat is open-ended conversation.

Customer service bots, phone IVR systems, virtual receptionists, tutoring assistants, sales qualification bots, appointment schedulers, interactive storytellers, therapy companions, language practice partners, and more.

For low-latency conversational agents, Kokoro is ideal — it generates speech nearly 100x faster than real-time. For more natural dialog, Dia TTS supports multi-speaker conversation. For voice cloning (matching a brand voice), use Chatterbox or GPT-SoVITS.

Yes. The STT pipeline (Faster Whisper) supports 99 languages for understanding, and TTS models like CosyVoice 2 and GPT-SoVITS support 8+ languages for responding. You can build multilingual agents that detect and respond in the caller's language.

End-to-end latency (speech in → speech out) is typically 1-3 seconds using Kokoro for TTS and Faster Whisper for STT. This includes STT transcription (~200ms), LLM response (~500ms-1s), and TTS synthesis (~200ms).

Yes. Each agent has a system prompt that defines its personality, knowledge, tone, and behavioral rules. You can make it formal or casual, set topic boundaries, define escalation rules, and control how it handles unknown questions.

Yes. Use our STT API for speech recognition, any LLM API for intelligence, and our TTS API for voice output. Our OpenAI-compatible endpoints make integration straightforward. Pro and Enterprise plans include API access.

Yes. Connect our voice agent API to telephony platforms like Twilio, Vonage, or Plivo to build phone-based IVR systems, outbound calling bots, and virtual receptionists that handle calls 24/7.

Agent costs depend on the models used. Free-tier models (Kokoro, Piper) cost 0 credits for TTS. STT is 1 credit per minute. LLM costs depend on your provider. Starter plans ($9/mo) include 500 credits, sufficient for hundreds of agent interactions.

Yes. Use our voice cloning feature to create a custom voice from a short audio sample (as little as 5 seconds). Models like Chatterbox and GPT-SoVITS can clone your voice or any brand voice for a consistent agent experience.

Yes. All processing happens on our dedicated GPU servers. We do not store conversation transcripts or audio after processing. No data is shared with third parties or used for training. Enterprise plans offer additional data isolation options.
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Byggja fyrsta Voice Agent þinn

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