AI that watches your
screen and talks back
Ultron captures your screen in real-time, understands what's happening, and speaks autonomously — no prompts needed. Think AI co-pilot, but with eyes.
How it works
Six steps.
Zero prompts.
From raw pixels to spoken narration in under 200ms. A fully autonomous pipeline — no human in the loop required.
Screen Capture
Live frames captured at 60 FPS from any source
AI Vision Processing
Real-time visual understanding with GPT-4o Vision
Context Engine
Accumulated memory + reasoning across frames
Response Generation
Ultra-fast text streaming with low-latency models
Voice Synthesis
Neural audio with emotion and expressiveness
Avatar Delivery
Lip-synced 3D avatar speaks the narration live
Live Playground
See it in action.
Share your screen, pick your model and voice engine, and watch Ultron narrate what it sees — completely autonomously.
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Click the button below to share your screen
Ultron Avatar
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LATENCY
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Intelligence Engine
When enabled, Ultron speaks continuously based on visual events without waiting for user prompts.
Configuration
Deep customization.
Plug your own models, fine-tune voice parameters, and connect any OpenAI-compatible endpoint.
Bring Your Own Model
Any OpenAI-compatible vision API
Voice Engine
Fine-tune tone, speed & emotion
Use Cases
Built for every
screen imaginable.
From gaming arenas to corporate dashboards — if there's a screen, Ultron can narrate it.
Game Commentary
Live AI narration for esports streams — CS2, Valorant, and more.
Live Streaming Co-host
An AI companion that reacts to chat, donations, and gameplay events in real-time.
E-commerce Assistant
Greets visitors, explains products from visual context, and drives conversions.
Dashboard Narrator
Reads complex metrics, detects anomalies, and answers queries about your data naturally.
Training & Education
Guides students through coding tutorials, diagrams, or visual problem solving step-by-step.
For Developers
Ship in minutes,
not months.
A typesafe SDK, REST APIs, webhooks, and WebRTC streaming. Everything you need to add a real-time AI avatar to your app.
NPM Package
npm install @ultron/sdk
REST API & Webhooks
Full pipeline control via HTTP
WebRTC Streams
Server-side frame ingestion at <50ms
import { UltronAvatar } from '@ultron/sdk';
const avatar = new UltronAvatar({
model: "gpt-4o-realtime",
llmApiKey: process.env.OPENAI_API_KEY,
voice: "elevenlabs",
voiceApiKey: process.env.ELEVENLABS_API_KEY,
stream: screenFeed,
contextDepth: "deep",
autonomous: true
});
avatar.on('speech_start', (text) => {
console.log('AI:', text);
});
await avatar.start();Pricing
Simple, transparent pricing.
Pay for the streams you run. No hidden inference costs ever.
Starter
For experimenting and local development.
Pro
For production apps and live streaming.
Enterprise
For dedicated infrastructure at scale.
Coming Soon
Your command center.
Manage avatars, monitor sessions, debug latency, and inspect every frame—all from one dashboard.
Active Sessions
23
↑ 4 since yesterday
Avg Latency
142ms
Tokens Today
1.2M
Real-time Analytics
Token usage graphs, latency heatmaps, and visual debug overlays — shipping next sprint.