

Agora’s Software-Defined Real-Time Network (SDRTN®) is the world’s most widely used multimodal real-time network, powering over 80 billion minutes of ultra-low latency voice and video every month in 200+ countries and territories. The network uses machine learning to intelligently route traffic and find the fastest path to reduce latency and packet loss to power ultra-low latency conversational AI agents.


Agora’s proprietary acoustic algorithms enable users to talk to AI anywhere, including busy cafés and noisy subway cars. The built-in algorithms automatically block background noise and echo while focusing only on the user’s voice. Intelligent interruption handling enables AI to stop talking the second a user interrupts.
Agora’s conversational AI solutions give developers the flexibility to connect to leading LLMs or bring their own custom AI model or RAG. Developers have access to build fully customized conversational AI experiences or use no-code tools to get to market even faster, with support for major development platforms and all device types.

Build voice AI agents with any LLM and integrate into any app for natural conversations—even in challenging network conditions and noisy environments.
No-code solution for Conversational AI Engine making it easier to quickly build AI agents and UIs.
Easily add conversational voice AI into IoT devices and accelerate time-to-market with an integrated hardware chipset and module.
Create engaging voice AI experiences with human-like emotion and voice-to-voice processing.
Open-source, self-hosted framework for building and deploying real-time, multimodal conversational AI agents, supported by Agora and the TEN community. Build and deploy your own AI agent pipeline with the same framework used to build Agora's Conversational AI Engine.
Conversational AI enables real-time, natural interactions between humans and AI using voice or multimodal inputs. Unlike traditional text-based chatbots that rely on delayed responses, conversational AI supports low-latency, voice-first interactions with interruption handling, natural turn-taking, and more human-like conversations.
Agora provides the real-time infrastructure layer required for conversational AI. Its ultra-low latency global network ensures voice AI agents can listen, process, and respond instantly—even in challenging network conditions—creating fluid, natural conversations.
Latency directly impacts how “human” an AI conversation feels. Even small delays can break conversational flow. Ultra-low latency enables real-time turn-taking, immediate interruption handling, and faster responses, making AI interactions feel natural rather than robotic.
Yes. Agora is model-agnostic. Developers can integrate any LLM, bring their own custom AI models, or connect Retrieval-Augmented Generation (RAG) pipelines. This flexibility allows teams to tailor AI behavior, intelligence, and data sources to their specific use case.
Agora includes built-in acoustic algorithms that automatically suppress background noise and echo while focusing on the user’s voice. This allows AI agents to work reliably in real-world environments like cafés, public transit, or busy offices.
Agora’s conversational AI solutions work across web, mobile, desktop, IoT devices, and embedded hardware. Developers can deploy voice AI experiences across operating systems, browsers, chipsets, and device types without being locked into a single platform.
Developers can get started in minutes using Agora SDKs, APIs, and sample apps. For faster time-to-market, no-code tools like App Builder AI enable teams to prototype and deploy conversational AI agents without extensive engineering effort.
Agora powers conversational AI across industries including customer support, gaming, education, healthcare, IoT, live streaming, and virtual commerce. Any application that requires real-time, voice-driven interaction between users and AI can benefit from Agora’s infrastructure.