Short AI video conversations close the practice gap in corporate L&D. Learn how conversational microlearning builds skills that passive video never could.
Author: Tavus TeamLanguage: en
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All Blogs Industry Microlearning With AI Video: Short Conversations That Build Real SkillsIndustryMicrolearning With AI Video: Short Conversations That Build Real Skills .pixel-section svg{ position: absolute; top: 0; left: 0; display: block; pointer-events: none; z-index:4; } document.addEventListener("DOMContentLoaded", () => { // Step 1: Prevent browser from auto-scrolling if ("scrollRestoration" in history) { history.scrollRestoration = "manual"; } // Optional: prevent scroll during load to avoid jump document.documentElement.classList.add("is-loading"); document.body.classList.add("is-loading"); const sections = document.querySelectorAll(".pixel-section"); const gridSize = 20; let loadCount = 0; if (sections.length === 0) { // No sections using pixel grid — restore scroll immediately finalizePageLoad(); return; } sections.forEach((section) => { const image = section.querySelector(".main-image"); const svg = section.querySelector(".pixel-svg"); const pixelGrid = section.querySelector(".pixel-grid"); image.addEventListener("load", () => { const imgWidth = image.naturalWidth; const imgHeight = image.naturalHeight; svg.setAttribute("width", image.width); svg.setAttribute("height",…
Personified Application Layers that see, hear, and respond face-to-face in real time. Build and deploy with our API, no-code PAL Maker, or enterprise Solutions. Interactive AI avatars and conversational video reimagined
Language: en
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(function () { if (document.documentElement.classList.contains('wf-design-mode')) return; var FLOOR = 50; var DEBUG = false; function windows() { return Array.prototype.slice.call(document.querySelectorAll('[data-draggable]')); } function zOf(el) { var inline = parseInt(el.style.zIndex, 10); if (!isNaN(inline)) return inline; var computed = parseInt(window.getComputedStyle(el).zIndex, 10); return isNaN(computed) ? 0 : computed; } function bringToFront(win, why) { if (!win) return; var all = windows(); if (all.length < 2) return; var top = FLOOR; for (var i = 0; i < all.length; i++) { var z = zOf(all[i]); if (z > top) top = z; } // z-index is inert on a static element, so ensure a positioning context. // relative with no offsets does not move the box. if (window.getComputedStyle(win).position === 'static') { win.style.position = 'relative'; } if (zOf(win) < top) win.style.zIndex = String(top + 1); if (DEBUG) { console.log('[hv2] front:', win.getAttribute('data-window-id'), 'z=' + win.style.zIndex, '(' + why + ')'); } } function fromEvent(e) { return e.target && e.target.closest ? e.target.closest('[data-draggable]') : null; } // 1. Normal clicks anywhere in a window (title bar, chro…
An AI healthcare agent that handles patient intake, triage, and follow-up face-to-face. A PAL that cuts wait times and no-shows while your staff focuses on care — in 30+ languages.
Language: en
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HIPAA-compliant agents that read patients, not just forms.Tavus video agents automate patient intake, symptom triage, and follow-up. Structured clinical data routes to your EHR via function calling, compatible with FHIR and HL7 workflows. Top companies are building & employing AI humansHealthcare SolutionsHealthcare .lightbox-play-wrapper, .shine-text{ opacity: 0; } Answer the call answer the call window.addEventListener('message', function(e) {if (!e.origin.includes("vidzflow")) {return;}if (e.data.eventType === 'videoReady') {new IntersectionObserver((entries, observer) => {entries.forEach(entry => {if (entry.isIntersecting && entry.target.getAttribute('data-video-id') === String(e.data.videoId)) {let iframe = entry.target.querySelector('iframe');if (iframe) {iframe.contentWindow.postMessage("playerPlay", "*");observer.unobserve(entry.target);}}});}).observe(document.querySelector(`div[data-video-id="${e.data.videoId}"]`));}});Text-based intake misses what matters most.A patient who says "I feel fine" while visibly anxious isn't fine. Forms and chatbots process the words. Raven reads the…
See a PAL in action for your use case. Talk to our team about building with the Tavus API, PAL Maker, or a fully managed enterprise deployment. Interactive AI avatars and conversational video reimagined
Language: en
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For developers & enterprisesPower AI for your business with TavusBuild, scale, and customize lifelike AI Video agents for your products and workflows.Our enterprise team helps you build, integrate, and deploy human-like AI Video agents into products, services, and workflows. Whether you choose to build and embed with our APIs, partner with us for a full deployment, or find the balance in between, Tavus offers flexible, scalable solutions designed to fit your workflow with managed, embedded, and white-labeled options built for scale.See how leading companies build emotionally intelligent AI agents✓ White labeled APIs✓ Lowest latency on market✓ State of the art conversational and facial realism✓ Perception that unlocks a new visual data layer✓ AI humans that have agentic capabilities✓ 1000s of lifelike conversations, deployed at once✓ Volume discountsFirst NameLast NameEmailPhone NumberSubmitThank you! Your submission has been received!Oops! Something went wrong while submitting the form. Top companies are building & employing AI humansFull-stack offeringsBuild it, embed it, or let us handle the whole thing.Solution #1White-labeled APIsUse Tavus technology under your own brand. Our A…
Introducing Memories: long-term memory for Tavus PALs, built around the relationship between a PAL and the person talking to it, so every conversation builds on the last.
Author: Elisa DingLanguage: en
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All Blogs Product Introducing Memories: Built for Ongoing RelationshipsProductIntroducing Memories: Built for Ongoing Relationships .pixel-section svg{ position: absolute; top: 0; left: 0; display: block; pointer-events: none; z-index:4; } document.addEventListener("DOMContentLoaded", () => { // Step 1: Prevent browser from auto-scrolling if ("scrollRestoration" in history) { history.scrollRestoration = "manual"; } // Optional: prevent scroll during load to avoid jump document.documentElement.classList.add("is-loading"); document.body.classList.add("is-loading"); const sections = document.querySelectorAll(".pixel-section"); const gridSize = 20; let loadCount = 0; if (sections.length === 0) { // No sections using pixel grid — restore scroll immediately finalizePageLoad(); return; } sections.forEach((section) => { const image = section.querySelector(".main-image"); const svg = section.querySelector(".pixel-svg"); const pixelGrid = section.querySelector(".pixel-grid"); image.addEventListener("load", () => { const imgWidth = image.naturalWidth; const imgHeight = image.naturalHeight; svg.setAttribute("width", image.width); svg.setAttribute("height", image.height); svg.setAttribute("view…
Transparent, scalable pricing. Build and deploy PALs and conversational video agents. Get started with Tavus real-time AI for free. interactive AI avatars and conversational video for enterprise and self serve users, reimagined
Language: en
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PricingPALsDeveloperPALs: AI humans for youFlexible plans for every kind of conversationFreeFor the curious and the naturally chatty$0/moNo upfront paymentGet AccessUnlimited messaging15 minutes of voice & video callsSupport for 30+ languages PlusFor those who text their PAL goodnight$20/moMonthly access feeGet AccessUnlimited messaging150 minutes of voice & video callsSupport for 30+ languages MCP Early AccessMaxFor the ones who never log off$50/moMonthly access fee Get AccessUnlimited messaging500 minutes of voice & video callsSupport for 30+ languages MCP Early AccessDevelopers: Build conversations that scaleFlexible plans for every kind of conversationBasicFor product development individuals that want to quickly testFreeNo upfront paymentget startedWhitelabeled APIs25 minutes of AI conversational video5 minutes of AI Video GenerationAccess to 25 stock replicasSupport for 30+ languagesStarterFor individuals, startups, & businesses that need flexibility$59/moMonthly access fee + pay as you goget startedEverything in free plus:3 Custom Replica trainings per Month100 minutes of AI conversational video10 mins of AI Video GenerationPay as you go with no overage limitUp to 3 concurren…
Inside the Tavus research lab building the models behind every PAL: Phoenix-4.5, Raven-1, and Sparrow-2. AI that feels human.
Language: en
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our researchA new kind of research labBridging the human-machine divideour approachHuman communication is like a danceHuman conversation is a rhythm—every glance, pause, and tone changes the meaning. At Tavus, we study that rhythm, designing AI that understands emotion, intent, and timing as one signal. We’re building systems that don’t just respond, they move with you.SEE DOCSThe DancePIONEERING HUMAN COMPUTINGWe’re teaching machines the art of being human: bringing together rendering, perception, emotion, and understanding to create AI humans that feel natural, intuitive, and alive.Research DirectiveWe’re building AI that feels human—machines that see, listen, and respond naturally.modelsModelsWe build models to teach machines to see, hear, understand and even look human. We give machines presence and EQ, allowing them to understand you deeply, and in turn, building trust and connection with them.RenderingPhoenix [4.5]Phoenix-4.5, the most natural and realistic human rendering model on the market, designed to give AI a face, presence, and emotional range. The A gaussian-diffusion based model synthesizes high-fidelity facial behavior in real time, with contextually accurate emotio…
Custom face-to-face AI agents (PALs) that see, hear, and respond in real time — designed, deployed, and fully managed by Tavus with the security, reliability, and scale you need.
Compare conversational AI vs generative AI capabilities and use cases. Learn how to implement these technologies in your applications with this developer’s guide.
Author: Julia SzatarLanguage: en
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All Blogs Industry Conversational AI vs Generative AI: The Complete GuideIndustryConversational AI vs Generative AI: The Complete Guide .pixel-section svg{ position: absolute; top: 0; left: 0; display: block; pointer-events: none; z-index:4; } document.addEventListener("DOMContentLoaded", () => { // Step 1: Prevent browser from auto-scrolling if ("scrollRestoration" in history) { history.scrollRestoration = "manual"; } // Optional: prevent scroll during load to avoid jump document.documentElement.classList.add("is-loading"); document.body.classList.add("is-loading"); const sections = document.querySelectorAll(".pixel-section"); const gridSize = 20; let loadCount = 0; if (sections.length === 0) { // No sections using pixel grid — restore scroll immediately finalizePageLoad(); return; } sections.forEach((section) => { const image = section.querySelector(".main-image"); const svg = section.querySelector(".pixel-svg"); const pixelGrid = section.querySelector(".pixel-grid"); image.addEventListener("load", () => { const imgWidth = image.naturalWidth; const imgHeight = image.naturalHeight; svg.setAttribute("width", image.width); svg.setAttribute("height", image.height); svg.setAttribute("…
Sparrow-2 is a real-time conversational understanding model that jointly models turn-taking, interruptions, backchannels, and the full acoustic scene as a single, unified system. It is an audio-native, streaming-first engine, rebuilt from the ground up, that goes beyond endpoint detection to transform the entire audio stream into decisions about when to listen, wait, or speak at a native 10 ms frame rate.
Author: Brian JohnsonLanguage: en
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All Blogs Research Sparrow-2: Beyond Turn-Taking to Whole-Scene Conversational UnderstandingResearchSparrow-2: Beyond Turn-Taking to Whole-Scene Conversational Understanding .pixel-section svg{ position: absolute; top: 0; left: 0; display: block; pointer-events: none; z-index:4; } document.addEventListener("DOMContentLoaded", () => { // Step 1: Prevent browser from auto-scrolling if ("scrollRestoration" in history) { history.scrollRestoration = "manual"; } // Optional: prevent scroll during load to avoid jump document.documentElement.classList.add("is-loading"); document.body.classList.add("is-loading"); const sections = document.querySelectorAll(".pixel-section"); const gridSize = 20; let loadCount = 0; if (sections.length === 0) { // No sections using pixel grid — restore scroll immediately finalizePageLoad(); return; } sections.forEach((section) => { const image = section.querySelector(".main-image"); const svg = section.querySelector(".pixel-svg"); const pixelGrid = section.querySelector(".pixel-grid"); image.addEventListener("load", () => { const imgWidth = image.naturalWidth; const imgHeight = image.naturalHeight; svg.setAttribute("width", image.width); svg.setAttribute("heig…
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Phoenix-4.5 is here: The fastest and most expressive real-time human rendering model on the market. Learn more.
Phoenix-4.5 is the fastest and most expressive real-time human rendering model on the market, and the closest AI has ever come to passing the Turing test face to face. The whole PAL moves with every word, in 134 ms from audio to video.
Author: Minh Anh NguyễnLanguage: en
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All Blogs Research Phoenix-4.5: A New State of the Art in Real-Time Human RenderingResearchPhoenix-4.5: A New State of the Art in Real-Time Human Rendering .pixel-section svg{ position: absolute; top: 0; left: 0; display: block; pointer-events: none; z-index:4; } document.addEventListener("DOMContentLoaded", () => { // Step 1: Prevent browser from auto-scrolling if ("scrollRestoration" in history) { history.scrollRestoration = "manual"; } // Optional: prevent scroll during load to avoid jump document.documentElement.classList.add("is-loading"); document.body.classList.add("is-loading"); const sections = document.querySelectorAll(".pixel-section"); const gridSize = 20; let loadCount = 0; if (sections.length === 0) { // No sections using pixel grid — restore scroll immediately finalizePageLoad(); return; } sections.forEach((section) => { const image = section.querySelector(".main-image"); const svg = section.querySelector(".pixel-svg"); const pixelGrid = section.querySelector(".pixel-grid"); image.addEventListener("load", () => { const imgWidth = image.naturalWidth; const imgHeight = image.naturalHeight; svg.setAttribute("width", image.width); svg.setAttribute("height", image.height)…
In this paper, we dive into the development and research behind Sparrow-0, exploring the innovative transformer-based approach for turn-taking and its integration alongside Raven and Phoenix models within our Conversational Video Interface (CVI), an end-to-end operating system designed for building responsive video agents.
Author: Brian JohnsonLanguage: en
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All Blogs Research Sparrow-0: Advancing Conversational Responsiveness in Video Agents with Transformer-Based Turn-TakingResearchSparrow-0: Advancing Conversational Responsiveness in Video Agents with Transformer-Based Turn-Taking .pixel-section svg{ position: absolute; top: 0; left: 0; display: block; pointer-events: none; z-index:4; } document.addEventListener("DOMContentLoaded", () => { // Step 1: Prevent browser from auto-scrolling if ("scrollRestoration" in history) { history.scrollRestoration = "manual"; } // Optional: prevent scroll during load to avoid jump document.documentElement.classList.add("is-loading"); document.body.classList.add("is-loading"); const sections = document.querySelectorAll(".pixel-section"); const gridSize = 20; let loadCount = 0; if (sections.length === 0) { // No sections using pixel grid — restore scroll immediately finalizePageLoad(); return; } sections.forEach((section) => { const image = section.querySelector(".main-image"); const svg = section.querySelector(".pixel-svg"); const pixelGrid = section.querySelector(".pixel-grid"); image.addEventListener("load", () => { const imgWidth = image.naturalWidth; const imgHeight = image.naturalHeight; svg.se…
Build and deploy interactive AI PALs with the Tavus API — real-time conversational video powered by Phoenix-4.5, Raven-1, and Sparrow-2. The complete API for conversational AI
Personified Application Layers that see, hear, and respond face-to-face in real time. Build and deploy with our API, no-code PAL Maker, or enterprise Solutions. Interactive AI avatars and conversational video reimagined
Language: en
Indexed excerpt
You’ve never met AI like this.Human-like AI that can see, hear, act, and emotionally understand us, all in real-time. We call them PALs.Start buildingFACE-TO-FACE VIDEO .lightbox-play-wrapper, .shine-text{ opacity: 0; } SPeak with Charlie MEDIA Powering 100,000+ developers and the world's most forward-thinking companiesInfinite use cases built for infinite scaleA PAL can be whatever the moment calls for: a teammate, an onboarding guide, a customer expert, or a trusted companion. Here are a few ways organizations are putting them to work:generate MOre RevenueGTM AGENTS A PAL can greet every visitor the moment they arrive, answer what they actually asked, and book the meeting before they click away.button textrespond to customers 24/7CUSTOMER SUPPORTShow a PAL the error light or the cracked part, and it sees the problem, pulls your warranty, and ships the fix before you hang up.button textdeliver better patient care PATIENT INTAKEA PAL can take a patient's intake at their own pace and hand the clinician a clear picture before anyone walks into the room.button textRoleplay for any scenarioL&D AGENTSA PAL can pick up where a student got stuck last time, walk them through it again, and …