Phoenix-4: Real-Time Human Rendering with Emotional Intelligence
Phoenix-4 is the first real-time model to generate and control emotional states, active listening behavior, and continuous facial motion as a single, unified system. It is a real-time behavior generation engine, built from the ground up, that goes beyond photorealism to transform conversation data into emotionally responsive, context-aware facial expression and head motion with millisecond-level latency.
Factors affecting latency in real-time voice AI conversations
Voice AI latency compounds at every pipeline stage. Learn which factors matter most and what to ask vendors when evaluating conversational AI infrastructure.
Conversational AI in travel: how travel brands plan trips at scale
Conversational AI in travel handles booking, disruption recovery, and multilingual guidance with answers that remember what travelers need.
Talent acquisition software: adding AI video to your recruiting stack
Talent acquisition software covers the data and workflow layers. AI video gives every candidate a live, real conversation across the funnel.
Onboarding software in 2026: why the best tools use conversational video
A 2026 guide to onboarding software: the four categories, key features to evaluate, common buyer mistakes, and the rise of conversational video.
Conversational AI pricing: what enterprise buyers should expect in 2026
Conversational AI pricing in 2026 spans per-minute, per-seat, and usage-based models. Compare cost drivers, hidden fees, and ROI for enterprise buyers.
Conversational AI ROI: How to build the business case for AI video agents
How to build an ROI model for AI video agents, frame the case for CFOs and CX leads, and identify where video delivers the strongest returns.
AI avatars in 2026: a complete guide to types, uses, and platforms
A complete guide to AI avatar types, use cases, and platforms in 2026. Learn how real-time conversational AI Personas compare to pre-rendered avatars.
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AI cold calling: how video agents are changing first impressions
AI cold calling now includes face-to-face video. Learn how video agents handle outbound prospecting, respond in real time, and book more meetings.
Virtual training in 2026: from webinars to AI-led practice sessions
Virtual training has moved past webinars. Learn how AI-led practice sessions give employees real conversations, instant feedback, and 24/7 access to coaching.
Conversational AI APIs: how to add real-time video to your product
Learn how conversational AI APIs work, what to evaluate, and how to add real-time video and AI agents to your product with Tavus CVI.
Build vs. buy for conversational video: a decision framework
Build or buy real-time conversational video AI? A framework for product leaders on technical tradeoffs, layer-by-layer guidance, and evaluation criteria.
AI tutors for workplace training: from content delivery to real conversation
AI tutors are reshaping workplace training, moving employees beyond passive content delivery into real, adaptive conversations. Here's what the shift looks like.
AI SDR: How AI sales agents handle prospecting and pipeline
AI SDRs automate prospecting, outreach, and lead qualification. See how AI sales agents work and where they fit in the modern sales pipeline.
Leadership training with AI: practice difficult conversations before they happen
Leadership training needs practice, not just frameworks. AI video roleplay lets managers rehearse difficult conversations before they happen.
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Face-to-face conversational AI use cases | 2026
Conversational AI use cases across industries: where text and voice work, and where face-to-face changes trust, presence, and outcomes.
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