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Video entertainment / Irdeto Experience

Irdeto Workflow Management

End-to-end workflow orchestration platform enabling automated content ingest, processing, metadata enrichment, metadata aggregation and distribution across OTT and broadcast ecosystems with scalable, flexible and secure delivery.

Fragmented workflows and manual processes slow content delivery and increase costs. Irdeto Workflow Management unifies content preparation, metadata and distribution into a single automated platform, enabling faster launches, reduced complexity and scalable operations.

Benefits

Faster time-to-market

Automate ingest-to-publish workflows for rapid content delivery

Cost efficiency

Reduce manual processing and storage requirements

Operational scalability

Handle high volumes across live, VOD, EPG schedule and hybrid services

Metadata optimization

Improve discovery and engagement with enriched metadata

Monetization expansion

Unlock new revenue from VOD, live and dynamic channels

Platform flexibility

Adapt workflows to evolving formats, devices and services

Proven results

1000+

channels managed

200K+

VOD assets supported

50%

faster content processing

25%

improvement in discovery

Certifications and recognition

Award 3
Best Innovation in Streaming: Irdeto Experience
BroadcastPro Manufacturer Awards 2024
Star award
Streaming Innovation of the Year: Irdeto Experience
Streaming Media European Innovation Awards 2024
awards_placeholder
Best In Digital Distribution: Irdeto Experience
BroadcastPro Manufacturer Awards 2025

Key features

Workflow orchestration engine

Automates ingest, transcoding, packaging and distribution

Metadata aggregation

Enrich, normalize and unify metadata across sources

Secure content preparation pipeline

Transcode, package and protect with multi-DRM support

VOD-live transformation

Convert VOD to live channels and live to catch-up

Just-in-time delivery

Package content dynamically per device and DRM

Extensible integrations

Plug-in architecture for systems, CDNs and services

How it works

Automated workflows ingest content, enrich metadata, process video and dynamically distribute assets across platforms and devices through integrated orchestration.

Specifications

  • Architecture: Microservices and workflow engine.
  • Ingest sources: API based, FTP, S3.
  • Formats: XML, JSON, CSV.
  • Processing: Transcoding, packaging, aggregation, enrichment, publishing.
  • Security: Multi-DRM and watermarking.
  • Delivery: CDN and endpoints.
  • Metadata: Aggregation and enrichment.
  • Scalability: High-volume orchestration.
  • Deployment: Cloud, on-prem, hybrid.
  • Integration: API and plugin-based.

Case study

Profile

Leading Malaysian operator Astro accelerating OTT growth through its digital-first streaming platform sooka (read full Case Study).

Challenge

Faced manual workflows, fragmented metadata and slow content turnaround that impacted operational efficiency and viewer experience.

Solution

Deployed unified workflow orchestration with metadata enrichment and automation across the streaming platform ecosystem.

Results

Enabled faster content processing, reduced operational costs and improved audience engagement across OTT services.

“This is the most polished and responsive streaming experience we’ve launched”

Chu Young Lee, Director sooka & NJOI

Frequently Asked Questions
What workflows can be automated end-to-end?

Ingest, metadata, transcoding, packaging, DRM and distribution workflows.

How does it reduce storage and processing costs?

Uses just-in-time packaging and eliminates redundant content versions.

Can it unify metadata from multiple sources?

Yes, aggregates, normalizes and enriches metadata centrally.

Does it support both live and VOD workflows?

Yes, including live-to-VOD and VOD-to-live transformations.

How flexible are integrations with existing systems?

Highly extensible with APIs and plugin-based architecture.

Can it scale for large content catalogs?

Yes, supports thousands of channels and high-volume assets.

How does it improve content discovery?

Enhances metadata quality and enables better search and recommendations.

What deployment models are supported?

Cloud, on-premises and hybrid environments

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