swXtch.io delivers the first AI-native network designed for live media.
Built on open standards and proven cloud infrastructure, it connects live video streams to multiple AI models simultaneously, cutting network costs by up to 70% and enabling entirely new AI-powered workflows.
AI Processing of LIVE Video!
swXtch.io and V-Nova enable the most efficient, flexible, lowest cost Live Video AI systems.
An AI-Native Network for the Cloud Era
Our solution combines two groundbreaking technologies into one cohesive platform
cloudSwXtch:
Cloud-Native Multicast for AI Video
The foundation of the AI-native network, cloudSwXtch extends broadcast-grade IP multicast to the cloud — allowing one-to-many video delivery across any infrastructure.
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One-to-Many Transport – Feed a single video stream into multiple AI engines at once with broadcast grade IP multicast in any cloud.
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ST 2110 and ST VC-6 in the Cloud – Native support for broadcast-standard video with ultra low latency.
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Bandwidth Efficiency – Slash link costs by eliminating duplicate feeds.
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Direct AI Integration – The xNIC-AI layer delivers raw frames directly to AI models.
With cloudSwXtch, you can move ST 2110 workflows into the cloud and scale AI processing across dozens of engines - without changing your existing toolchain.
SMPTE VC-6:
Efficient, Hierarchical Video for AI
Integrated directly into the swXtch.io network fabric, VC-6 (SMPTE ST 2117-1) introduces hierarchical encoding - enabling AI models to consume only what they need.
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Layered Bitstreams – A single encode contains multiple resolutions and quality levels.
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Targeted Delivery – Each AI model receives the exact resolution or region-of-interest required.
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Compute & Storage Savings – Up to 70% lower cloud and processing costs.
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Codec Transparency – Customers can maintain ST 2110 or JPEG XS workflows; VC-6 optimization happens under the hood.
VC-6 gives AI pipelines surgical precision - dramatically reducing compute load and bandwidth by delivering only the relevant data to each model.
Why AI Workflows Break in Legacy Networks
Legacy one-to-one video transport is fundamentally at odds with live AI use cases. Traditional cloud networks weren’t built to feed dozens of AI engines or support real-time analysis. Instead, they introduce friction at every step, especially for systems that need to dynamically scale from low-usage to high-usage based on real time commercial opportunities.
Designed for Real-World AI Use Cases
Real-Time Player Analytics and Automated Highlights
Drive a premium fan experiences.
Deliver real-time player stats, automate highlight reels, personalize ads, and drive second-screen engagement—all from a single video stream.
Hyper-Personalized Advertising & In-Game Betting
Move from static commercials to immersive, real-time monetization opportunities.
AI can identify products (like a player's shoes) during a broadcast and trigger dynamic, clickable ads tailored to each viewer.
Simultaneously, real-time performance analytics can generate micro-betting odds that update with the action, enhancing engagement and monetization through contextual relevance.
Analytics of Real-Time News and Public Information
Boost credibility, reduce moderation costs, and protect your brand, all in real time.
Power real-time fact-checking, sentiment analysis, and content moderation at scale with AI.