End-to-end conversational video pipeline
Tavus combines perception, dialogue, and rendering into one conversational video pipeline so teams can build agents that listen, respond, and appear on screen in real time.
Tavus is an API-first platform for AI video agents, digital twins, and companions. Build real-time conversational video experiences with replicas, personas, and tool connections.
Tavus is an AI research and product platform for building face-to-face video agents, digital twins, and AI companions. It combines multimodal perception, conversational timing, and real-time rendering so software can see, hear, and respond in a way that feels more natural than text or voice alone.
The product is organized around an API-first Conversational Video Interface (CVI) for developers and enterprise teams, plus PALs for personal AI humans. The workflow shown on the site centers on choosing or training a replica, defining a persona, connecting tools and knowledge, and deploying the agent through API, component, or iframe integrations.
Tavus combines perception, dialogue, and rendering into one conversational video pipeline so teams can build agents that listen, respond, and appear on screen in real time.
The platform can interpret facial expressions, tone, gaze, emotion, and ambient context, then use that signal to shape the agent’s response and tool use.
Phoenix-4 generates full-face video with micro-expressions, emotion-driven reactions, and 1080p real-time rendering for a more natural visual presence.
Sparrow-1 handles conversational timing, interruptions, pauses, and turn-taking so the agent can keep the flow of a live conversation.
The knowledge base feature accepts files and websites for retrieval-augmented responses, and the platform also supports memories, objectives, guardrails, and function calling.
Developers can use stock replicas or train custom replicas from short source video, then deploy them through APIs, React components, iframes, or no-code tools.
Use CVI for intake and qualification flows where an agent needs to notice confusion or distress, adjust its tone, and submit records or next steps through tools during the conversation.
Use the platform to build tutors or training assistants that remember prior struggles, adapt their responses, and keep context across sessions.
Deploy a branded sales or support agent that can book meetings, send quotes, pull records, and respond in real time during a face-to-face conversation.
Create personal AI humans for ongoing conversation, with voice and video calling, messaging, and multilingual interaction.
Use the platform to build globally deployed interactive agents where real-time video, streaming infrastructure, and concurrency management matter at production scale.
Tavus provides an API-first platform for building real-time conversational video agents. The setup flow shown on the site is to sign up, choose a stock replica or train your own, create a persona, and launch the agent through an API, React component, iframe, or REST integration.
The platform is designed for teams building AI video conversations, including developers and enterprise users. The site also positions Tavus PALs as AI humans for personal use, while the developer platform is aimed at product development and production deployments.
Tavus describes CVI as an end-to-end pipeline that combines perception, dialogue, and real-time rendering. It can be used with an existing audio or text stack, or as a foundation for a new video agent workflow.
The pricing page shows a free developer tier, paid monthly starter and growth plans, and custom enterprise pricing. Usage is organized around conversational video minutes, replica training, and concurrency limits.
The site highlights a multilingual experience, including support for 30+ languages on PALs and 50+ languages on the CVI page. The exact language experience can vary by product area and plan.