Voice streaming is the real-time transmission of live voice data during a call to AI engines, supervisors, or external systems.
Unlike traditional calls that are static, voice streaming enables mid-call intelligence: live transcription, real-time agent assist, automated bot actions, multilingual support, and supervisor interventions all while the conversation is still in progress.
With voice streaming, you can monitor, analyze, automate, and enhance conversations as they happen, not after they end.
Getting started with Voice AI is easier than ever thanks to real-time voice streaming infrastructure that’s built for scale, intelligence, and speed.
Pick your goal — automate FAQs, qualify leads, run outbound reminders, or enable multilingual customer support.
Use low-code tools or connect your LLM/NLU engine to define intents, flows, and fallback paths. Integrate your CRM, knowledge base, or external data sources.
Enable Exotel’s voice streaming to send live voice packets to your AI engine — empowering it to process, respond, or escalate in real time.
Go live on voice IVRs, outbound campaigns, in-app calls, click-to-call buttons, or WhatsApp voice — all from a single dashboard.
Access real-time transcripts, sentiment analysis, and conversation metrics. Use these to refine your bot flows, improve resolution rates, and reduce agent workload.
No more static IVRs. No more missed context. Just live, intelligent voice automation ready to scale.
Seamlessly integrate with your LLMs, NLU engines, or GenAI models. Exotel’s voice streaming unlocks real-time processing, making your bots smarter with every call.
From agent-led to bot-to-bot, IVRs to WebRTC run every kind of voice experience, supported by a single, unified infrastructure.
Enable live transcription, sentiment detection, supervisor coaching (whisper/barge-in), and mid-call automations powered by live voice data streams.
Run millions of conversations across geographies and languages without worrying about latency, quality, or downtime.
Works seamlessly with Salesforce, Freshdesk, Zoho, and more. Make your bots context-aware by syncing CRM, ticketing, and knowledge base data.
India’s only UL VNO-certified cloud setup ensures compliance, reliability, and privacy for regulated industries like BFSI, healthcare, and government.
Exotel unifies channels like web, phone, WhatsApp, and other social platforms, ensuring conversations remain contextually intact across transitions.
Dive into our FAQ section for more information
Voice streaming enables real-time transmission of voice data during a call, allowing AI engines, analytics systems, and supervisors to access and act on live conversations — unlike traditional calls that are isolated and static.
Not at all. Exotel provides no-code and low-code options to build voice bot flows, and offers easy integrations with CRMs, knowledge bases, and AI engines to help you go live in minutes.
Yes. Exotel’s platform supports flexible APIs and real-time voice stream delivery that can connect to your custom-built LLMs or third-party AI/NLU engines for mid-call automation and analysis.
Exotel supports agent-to-customer calls, bot-led calls, hybrid handoffs, IVRs with live monitoring, outbound reminders, click-to-call, multilingual conversations, and even machine-to-machine (bot ↔ bot) voice interactions.
Absolutely. Exotel’s infrastructure is enterprise-grade, designed to handle millions of concurrent calls with real-time intelligence, routing, and automation across regions.
Exotel is UL VNO-certified in India and follows stringent security protocols. It is compliant with local telecom regulations and data privacy standards, making it ideal for industries like banking, insurance, healthcare, and government.
With voice streaming, you get access to real-time transcription, sentiment analysis, keyword triggers, agent scoring (via CQA), and post-call summaries — all accessible via dashboards or APIs.
Yes. Exotel’s voice streaming supports real-time language detection, translation, and multilingual voicebot deployment for regional and international use cases.
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