Use case · Inbound support
Best voice agents for inbound customer support
These platforms answer the phone for you: they pick up, understand why someone is calling, and either resolve it or hand off cleanly to a person. If your problem is missed calls and hold times rather than outbound dialling, start here.
What to look for: Look for natural turn-taking under interruptions, accurate account look-ups, and a clean warm transfer when the agent hits its limit.
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The most natural-sounding AI voice we have heard, whether you are voicing a video or putting it on a live phone line.
The speed specialist whose fast, natural speech is what keeps a live phone agent feeling real rather than laggy.
Get a working phone agent live in days, not months, with the call handling built in and the AI brain your choice.
Build a phone agent exactly the way you want it, choosing each part yourself, if you have a developer to hand.
Build a phone receptionist by dragging boxes together, no code needed, though the bill grows with your call volume.
The open-source real-time stack that carries voice-agent audio, plus a framework to wire your own STT, LLM and voice.
A voice that picks up how the caller is feeling and answers in kind, for warmer and more human conversations.
Open-source Python framework where you pick every voice-agent part, free to self-host, with Daily's cloud for scaling.
Enterprise text-to-speech built for high-stakes phone calls, where a mispronounced name loses the customer.
Run big outbound calling campaigns on one flat per-minute rate, best if you have engineers to set it up.
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Get the voice agent and the phone network it runs on from one provider, useful when you want billing in one place.
OpenAI's speech-to-speech model and API for building your own voice agent, billed by audio tokens, not by the minute.
The best canvas for designing chat and voice agents, but a builder you wire up, not a turnkey phone product.
Cloud call-centre software with deep calling and CRM features, now adding AI voice agents as a per-minute add-on.
Fast, accurate speech-to-text to power high-volume voice apps, for teams happy to build on a developer API.
An AI 'employee' builder that also answers the phone, easy for small teams, though voice is one job among many.
Enterprise voice assistants for big contact centres, with brand-name customers and quote-only pricing.
A done-for-you AI receptionist for small trades and clinics, with texting and booking built in, priced by minute.
Enterprise omnichannel AI for voice and chat, used by airlines and carmakers, now owned by NICE. Quote-only, sales-led.
Enterprise AI agents for customer support, voice and chat, billed per resolved conversation rather than per minute.
Accurate streaming speech-to-text with built-in audio intelligence, for teams who want the listening half done well.
Enterprise speech-to-text with very broad language coverage and real on-prem options, for teams who self-host.
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