Conversational Video Interface (CVI)
Tavus’ CVI is described as an end-to-end pipeline for face-to-face AI, combining perception, dialogue, and real-time rendering so agents can see, hear, and respond in conversation.
Tavus
Tavus is an AI video platform for building real-time, face-to-face agents, digital twins, and AI companions. It combines APIs, custom replicas, and multilingual conversational workflows for developers and teams.
What Tavus is
Tavus is a San Francisco–based AI research lab and developer platform for building human-like video interactions. Its site describes the product as a way to create AI humans that see, hear, and talk face to face in real time, including custom video agents, digital twins, and AI companions.
The core product is the Conversational Video Interface (CVI), an API-first pipeline for real-time AI video conversations. Tavus combines perception, dialogue, and rendering models so teams can build agents that respond with facial behavior, timing, and visual awareness, while also supporting replicas, knowledge sources, and tool use for product workflows.
Core capabilities
Foundation models for human-like interaction
The platform’s models are split across rendering, perception, and dialogue: Phoenix-4 for facial behavior and animation, Raven-1 for multimodal perception, and Sparrow-1 for conversational timing and turn-taking.
Custom replicas and digital twins
Users can train custom replicas from a short source video, with the pricing page saying custom replica training starts from a two-minute video and includes a custom voice model.
Knowledge-grounded conversations
The platform supports uploading knowledge sources such as CSVs, PDFs, TXTs, PPTXs, PNGs, JPGs, or websites so conversations can respond from supplied context rather than only from the base model.
Tool use and configurable workflows
The pricing page lists function calling, memories, objectives and guardrails, and bring-your-own-LLM options so teams can connect Tavus to external tools and adapt the conversation stack.
Multilingual deployment and stock replicas
The site says agents can be deployed in 30+ languages on the home and pricing pages, and 50+ languages on the CVI page, with stock replicas available for quick testing or early builds.
Practical use cases
Interactive product assistants
Build a real-time video assistant that can see a user, respond with facial behavior, and maintain a natural conversational flow for product demos or guided interactions.
Digital twins and branded AI faces
Create a custom replica from a short source video and use it as a branded digital twin or AI presence in customer-facing workflows.
Workflow automation with video agents
Use the developer plans to connect conversations to external tools, knowledge bases, and guardrails for flows such as booking meetings, sending quotes, or answering from company documents.
Multilingual conversation experiences
Deploy multilingual agents for audiences that need the same experience across languages, including region-specific support or globally distributed teams.
AI companions for ongoing conversations
Use PAL plans for personal or always-on AI companions that support messaging and voice/video calls, with usage levels that scale across free, Plus, and Max tiers.
Pros and Cons
Pros
- Offers an API-first path for building real-time video conversations.
- Combines perception, dialogue, and rendering in one platform instead of requiring separate systems.
- Supports custom replicas, stock replicas, and multilingual conversations.
- Includes knowledge grounding, memories, and function calling for more structured interactions.
- Provides both consumer-style PAL plans and developer-focused plans, plus an enterprise tier.
Cons
- The public pages shown here do not provide full implementation, security, or integration documentation, so technical evaluation may require the docs.
- Some details differ by page, such as 30+ languages on the home/pricing pages versus 50+ languages on the CVI page.
- The source set gives only partial coverage of end-user workflows, so fit for a specific use case may need follow-up.
FAQ
How do you start building with Tavus?
Tavus provides APIs and a no-code portal for building conversational video experiences. The CVI page says you can start with its defaults and swap in your own LLM, voice, and knowledge stack as you scale.
Who is Tavus for?
The site positions Tavus for building video agents, digital twins, and AI companions. The pricing page also separates plans for PALs and for developers building conversations, which suggests both consumer-style and product-facing use cases.
What kinds of context can Tavus conversations use?
The pricing page lists support for uploading CSVs, PDFs, TXTs, PPTXs, PNGs, JPGs, or websites as conversation context, and it also mentions function calling, memories, and objectives and guardrails.
How many languages does Tavus support?
The site states that Tavus supports 30+ languages on the home and pricing pages, while the CVI page states 50+ languages for agents. The exact language coverage may vary by product area and plan.
Is Tavus fully documented on these pages?
The source materials describe pricing tiers and usage limits, but they do not provide full implementation, security, or deployment documentation here. For those details, the product site points users toward docs and enterprise contact paths.
Quick Facts
- Category
- AI video agents / conversational video
- Company
- Tavus
- Based in
- San Francisco
- Primary interface
- API-first platform with no-code options
- Source domain
- tavus.io
- Pricing
- Free, paid, and enterprise plans are listed
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