Agora and WIZ.AI have partnered to offer enterprise-ready AI agent solutions. These advanced AI agents are designed to power call centers with multilingual support and contextual understanding.
Generative AI video, automated editing, scene detection, AI dubbing, voice cloning, and upscaling are moving from research demos into production pipelines. Get the daily rundown on which AI video capabilities are actually shipping, and which ones are still just announcements.
Agora and WIZ.AI have partnered to offer enterprise-ready AI agent solutions. These advanced AI agents are designed to power call centers with multilingual support and contextual understanding.
Agora's Conversational AI Engine has introduced key enhancements to its Realtime API. These updates are intended to facilitate more natural communication and interaction with multimodal AI agents.
Agora and MiniMax announced a deepened global collaboration to power real-time conversational AI at scale. This development follows MiniMax's recent IPO. The partnership focuses on leveraging AI for real-time interactions.
Agora and Akool have collaborated to integrate real-time conversational AI with streaming avatars. This partnership aims to enhance interactive experiences across voice, video, and chat platforms.
Agora is promoting the integration of Voicemod, a real-time and custom voice-changing technology, into applications built with Agora's SDKs. Voicemod is available for iOS, Android, Mac, and PC platforms.
Agora has partnered with Symbl.ai, a conversation intelligence platform. Symbl.ai provides real-time transcription and contextual analysis of human conversations. This partnership integrates Symbl.ai's capabilities onto the Agora platform.
This article highlights Spectrum Labs' offering of contextual AI for identifying harmful user content across various media types, including text, voice, and video, in multiple languages. The technology provides content moderation capabilities using AI.
FaceUnity offers solutions for 3D digital avatars, facial AR effects, and facial beautification. These services are provided to clients globally, integrating with platforms like Agora.
The article from Agora highlights DeepAR as a leading provider of faceAR and bodyAR SDKs (Software Development Kits) for developers and end users. It identifies DeepAR's offerings as tools for implementing augmented reality features related to facial and body tracking.
BytePlus, a ByteDance company, leverages its advanced machine learning and big data technologies to help organizations deliver immersive customer experiences. The company is highlighted as a partner of Agora, focusing on AI-driven solutions.
Banuba, a company specializing in Face Augmented Reality SDKs for face filters, beautification, and avatars, is listed as an Agora partner. The article, hosted on Agora's domain, briefly describes Banuba's offerings.
This article discusses why speech recognition technology is not yet a completely solved problem. It implicitly highlights challenges and ongoing development in the field relevant to applications like automatic captioning or subtitling for video.
Agora announced an update to its Web UIKit, introducing a virtual background extension for video chat websites. This feature allows users to blur, replace with an image, or color their video call backgrounds using Agora's technology.
This article discusses the rise of real-time transcription technology and its impact on communication and accessibility across various industries. It focuses on how new AI-powered solutions are transforming how people interact with media and information.
This article discusses latency as a significant challenge for speech-driven conversational AI applications. It emphasizes the need to overcome this delay to enable effective AI interactions in such applications. The article outlines the importance of addressing latency for the functionality of AI.
This article posits that the infrastructure used for real-time communication is fundamental for developing seamless, ultra-low-latency voice conversations between humans and AI. It suggests that existing real-time communication technologies provide the necessary foundation for advanced conversational AI applications.
The article titled "The Anatomy of Voice AI Agents" discusses the complexities of building Voice AI, outlining the full technology stack involved. It covers aspects from audio codecs to Large Language Model (LLM) orchestration and provides guidance on scaling conversational agents for production environments.
Agora has published a guide on using `skip_patterns` within its Conversational AI platform. This feature allows users to prevent the AI's Text-to-Speech (TTS) from vocalizing structured data like code. The `skip_patterns` are used to manage how the AI processes and presents information during UI previews, tagging, and profile updates.
Agora's Conversational AI Engine enables ultra-low latency, natural AI voice interactions. The engine is designed to integrate with any Large Language Model (LLM) and any voice. This offers technology to enhance human-AI voice interactions.
Agora has announced a multilingual speech-to-text solution that provides native-level accuracy across more than 60 languages. This low-latency Automatic Speech Recognition (ASR) technology aims to reduce 'hallucinations' and is designed for real-world applications beyond English-first models.
Agora highlights its TEN VAD (Voice Activity Detection) and Turn Detection models, designed to make AI voice agents feel more natural. These models facilitate natural speech flow and context-aware pauses for real-time interaction in AI voice agents.
Agora's blog post discusses the importance of low latency in conversational AI for user adoption and retention, highlighting how response times over 300ms negatively impact user experience. The article positions Agora's technology as a solution to achieve the necessary low latency for effective AI interactions. It emphasizes that millisecond advantages are crucial to prevent user frustration and product abandonment.
Agora shares ten lessons learned from building voice AI agents, focusing on the practical challenges and solutions encountered when moving from development to real-world deployment. The article details experiences accumulated over 12 months in this field. It provides insights into the operational aspects of voice AI agent development.
The article previews Convo AI World Japan 2025, an event focusing on the future of conversational AI in Japan. Key themes include the integration of emotion, avatars, real-time voice technology, and cultural nuances in AI development.
Agora provides guidance on how to build a live voice shopping assistant using its Conversational AI platform. This solution integrates real-time audio, Large Language Model (LLM) capabilities, and transcription for product-aware responses.
The article discusses how AI-powered speech-to-text technology is evolving, highlighting applications ranging from real-time transcription and live captions to call summarization and AI-powered responses. It focuses on the transformative impact of AI in communication. The article serves as an overview of various use cases for this technology.
The article from Agora features Andrew Seagraves of Deepgram discussing the current state of speech recognition technology. It highlights that while optimized for narrow cases, speech recognition still has significant gaps in real-world applications related to data and latency. Deepgram focuses on addressing these challenges in the voice AI domain.
The article is a tutorial detailing how to integrate conversation intelligence features into an Android application. It instructs developers on using Agora extensions in conjunction with Symbl.ai for voice and video chat applications. This allows for real-time transcription and analysis of conversations within the app.
Agora's conversational AI technology, demonstrated powering robots, received the Microsoft AI Innovation Award at CES 2025. This showcases the application of AI in interactive and automated systems.
Agora provides a guide for building a transcription service into a video call web application. This service is intended to improve accessibility and user experience in video calls.
Agora published an article detailing how to build an Agora Conversational AI backend using Fastify. The guide focuses on enabling real-time voice-first AI interactions for applications.
Agora provides a step-by-step guide on how to develop a sign language recognition application using its Video SDK. The guide aims to enhance accessibility and communication through this technological application.
Agora has published a step-by-step guide detailing how to construct a real-time speech-to-text (STT) and translation web application. The guide explains how to use the company's 7.x API and Protobuf decoding to overlay live translations directly onto video streams, facilitating multilingual collaboration.
Agora provides a real-time conversational AI solution that enables the creation of AI avatars with synchronized lip movements. This solution, utilizing Agora ConvoAI and RPM, aims to make AI interactions feel more realistic than traditional chatbots with static avatars. The article focuses on the technical capability to build such a system.
The article provides a guide on how to develop an augmented reality (AR) enabled remote assistance application for Android devices. This application integrates interactive video chat capabilities to enhance the remote assistance experience. It focuses on the practical steps for building such a tool, which utilizes AR for visual guidance and live video for communication.
Agora provides a guide on building a backend for conversational AI using Express, focusing on enabling real-time voice-first AI interactions within applications. This technical tutorial outlines the steps to integrate Agora's technology for AI functionalities.
Agora published a tutorial detailing how to build a video call application that integrates live subtitles using the Agora SDK. This step-by-step guide is aimed at improving accessibility and user experience for developers.
Agora provides a guide for building a video call application that integrates AI summarization capabilities using Google's Gemini AI. The application transcribes video calls and delivers a post-call summary.
Agora provides a guide on how to integrate live translated transcriptions into video call web applications. This feature allows for real-time translation of spoken content during video calls. The guide outlines the setup process to enhance communication.
Agora published an article detailing how to integrate face filters into live streaming applications on Android using the Agora Video SDK and Banuba Face AR SDK. The guide aims to help developers add interactive elements to their streaming apps.
Agora provides a guide on building a production-ready Python backend using FastAPI and its Conversational AI Engine. This backend is designed to power voice AI functionalities within applications.
Agora provides a guide for building a conversational AI web application using Next.js, focusing on real-time voice-first AI interactions. The article is a tutorial detailing how developers can integrate Agora's technology with Next.js to create such applications.
Agora announced a collaboration with Banuba to integrate augmented reality (AR) video capabilities into the Agora Platform. This integration aims to enhance video experiences with immersive AR features.
Agora provides a recap of the AIoT 2023 event, which focused on emerging trends, achievements, challenges, and future potential within the AIoT sector. Speakers at the event discussed various aspects of the converging fields of Artificial Intelligence and Internet of Things.
The article discusses how AI-powered fan engagement is transforming fandom through the use of lifelike celebrity avatars, IP-based characters, and interactive accessories. It explores new monetization models enabled by these AI advancements. The piece focuses on the theoretical applications rather than a specific product or company launch.
The CEE 2024 event focused on AI advancements, industry case studies, and immersive technology applications. The event showcased various innovations driven by AI relevant to the streaming and entertainment industries.
Agora's Conversational AI Extension is now available on the Dify.ai Marketplace. This extension provides real-time, low-latency voice AI capabilities, enabling developers to build more interactive AI agents.
Agora launched "Agora Skills," a new offering designed to provide AI coding agents with the necessary context from Agora's platform. This aims to accelerate the development of real-time Voice AI applications, tokens, and demonstrations.
Agora provides instructions on how to integrate 3D virtual avatars into live video streams. This process utilizes MediaPipe for real-time processing and ReadyPlayerMe for avatar generation. The integration allows for augmented interaction within Agora's live streaming environment.
Agora and Pinecone have partnered to enable the integration of Retrieval Augmented Generation (RAG) into Agora's Conversational AI platform. This allows users to build Voice AI agents that can retrieve real-time context from a knowledge base to prevent AI hallucinations. The joint solution aims to enhance the accuracy and reliability of conversational AI applications.