What it handles
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(01)
Live feeds and linear channels
(02)
VOD assets at any scale
(03)
Catch-up and time-shifted content
(04)
Virtual channels
(05)
Multiple brands and markets from a single backend
AI Inside
Inputs
- Live feeds
- VOD files
- Linear channels
- Catch-up assets
- Virtual channel packages
- Media operations workflows
Stream
- Ingest normalization
- Format transcoding
- Encoding optimization
- Automated routing
- Entitlement management
- Multi-brand support
- AI embedded
Output
Normalized broadcast-grade content stream
Ready for:
- Enrichment
- Distribution
- Activation
Capabilities and Features
Live
Ingest
Ingest
Linear Channel Management
VOD
Ingestion
Ingestion
Catch-Up
Processing
Processing
Virtual Channel Management
Format
Transcoding
Transcoding
Automated
Routing
Routing
Content
Delivery
Delivery
Multi-Brand &
Market Support
Market Support
Entitlement
Management
Management
Encoding
Optimization
Optimization
Data Residency
Control
Control
Dedicated Instance Deployment
Cloud-Native
Deployment
Deployment
Workflow
Automation
Automation
How it orchestrates
Stream is the entry point to the Content to Value Operating System.
Clean, normalized content feeds directly into Enrich, where AI begins analyzing every scene. Without a reliable pipeline here, everything downstream is slower and less accurate.
Clean, normalized content feeds directly into Enrich, where AI begins analyzing every scene. Without a reliable pipeline here, everything downstream is slower and less accurate.
What you get
A content pipeline that works at any scale, automatically. Engineering time spent building, not maintaining.
2.5B+
1K+
1M+
20 years

