- Customer support and operations teams: Organisations handling voice-based interactions that want to automate inbound and outbound calls.
- Product and engineering teams: Developers building voice-enabled applications and customer-facing agents without building core voice infrastructure.
- Multilingual/contact-centres: Businesses needing voice agents across many languages and dialects, including regional variants.
- Marketing/outreach teams: Teams running outbound campaigns via voice that require automation, personalization and integration with existing systems.
- Enterprises with embedded voice UIs: Organisations embedding voice widgets in websites or apps to allow users to speak rather than type.
- Workflow/automation architects: Teams wanting to link voice interactions with backend systems, knowledge-bases, CRM or analytics workflows.
How to Use It?
- Create Your First Agent: Use the visual builder to define voice-agent persona, configuration and logic.
- Configure Logic & Pathways: Drag and drop nodes to define conversation flows, handle user input, integrate knowledge, route calls, transfer to humans.
- Connect Channels & Data: Assign phone numbers, connect SIP trunks, embed widgets on web, link to knowledge-bases, CRM, calendar systems and triggers.
- Choose Models & Voices: Select speech-to-text (STT), large-language-model (LLM) and text-to-speech (TTS) providers—or use built-in .
- Test & Monitor: Use built-in tools to simulate calls, chat interactions, review logs, measure latency and refine agent performance.
- Deploy & Scale: Launch agents live, handle inbound/outbound at scale, track analytics, iterate logic, support multilingual flows and enterprise integrations.
- Flexible voice-pipeline orchestration: The platform allows choice of different STT, LLM and TTS providers and orchestrates them for real-time voice interactions.
- Low-latency streaming voice stack: Designed for minimising latency in voice interactions (<200-500ms) allowing natural conversation flow.
- Visual no-code flow builder: Enables business users to build voice flows (nodes for messages, knowledge base lookup, webhooks, transfers etc) without deep engineering.
- Enterprise integrations & deployment channels: Supports phone numbers, SIP trunks, widgets, knowledge-bases, CRM hooks, analytics dashboards—making it enterprise-ready.
- Multilingual, regional and dialect support: Especially suited for markets with regional language/dialect needs (e.g., Arabic/MENA) and voice agent production at scale.
- Great no-code approach for building voice agents rapidly.
- Supports full voice lifecycle: listen → understand → speak.
- Flexible provider choice and model orchestration gives control and avoids vendor lock-in.
- Suitability for multilingual, global deployments and embedded voice interfaces.
- Comprehensive documentation, flow builder and analytics tools for iteration and monitoring.
- Voice agent performance still depends heavily on quality of voice input, knowledge-base design and training/logic setup.
- Multilingual and dialect high-quality support may vary and require tuning or data preparation.
- For very custom or highly sophisticated voice-AI scenarios (e.g., emotion modelling, deep domain reasoning), may still require more engineering and custom models.
- As a specialised voice agent platform, if your use-case is mostly text/chat or simple voice IVR, a lighter tool might be sufficient.
- Cost and setup effort for full-scale, high-volume voice deployments (numbers, trunks, integrations) may be significant.
Custom
Custom Pricing
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Reviews
Rating Distribution
Average score
Popular Mention
FAQs
Yes—it supports voice agents that answer inbound calls and launch outbound voice campaigns.
Yes—it supports many languages and dialects, and is designed for multilingual voice-agent deployment.
No—the platform offers a no-code visual builder for conversation flows, nodes, logic and integrations, though developers can extend functionalities
Yes—it supports phone number assignment, SIP trunks, embedding widgets, connecting to APIs and integrating with backend systems.
VoiceHub orchestrates STT (speech-to-text), LLM (conversation logic) and TTS (speech synthesis) and allows switching between providers for these components.
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Editorial Note
This page was researched and written by the ATB Editorial Team. Our team researches each AI tool by reviewing its official website, testing features, exploring real use cases, and considering user feedback. Every page is fact-checked and regularly updated to ensure the information stays accurate, neutral, and useful for our readers.
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