Revedia platform

AI insight for media and entertainment

Make smarter, faster content investment and distribution decisions across all digital and traditional linear distribution models.

Get the Revedia data sheet
Manage, optimize, and predict content revenue across all digital distribution models – FAST, SVOD, AVOD, and TVOD

Manage, optimize, and predict content revenue and performance with AI

Single source of truth

Automatically ingest, aggregate, and normalize internal and external data

Actionable intelligence

Reconcile revenue, assure compliance, and support month-end close

Enable prescriptive actions

Maximize revenue and viewer engagement with continuously developing AI

Empower finance and content teams to drive growth

Automate workflows

Revedia automatically ingests, aggregates, and normalizes revenue and content data from disparate internal and external sources

Maximize content ROI

Revedia generates insight by providing a single view of content asset performance across all digital and linear distribution models

Leverage integrated AI

Continuously developing predictive and generative AI enables forward-looking strategy and natural language-based user interactions

Trusted partner

Trusted by M&E leaders worldwide to optimize revenue since 1985, processing $39B of content distribution revenue data annually

Trusted expert in the media and entertainment industry

  • ~40

    Years in the media and entertainment industry

  • 300+

    Media and entertainment industry clients

  • $39B

    Content revenue processed per year

Maximize distributor revenue and content performance across FAST, AVOD, SVOD, TVOD, Cable, Satellite, Broadcast, and Pay TV

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Revenue Operations

Accurately and efficiently reconcile revenue, assure agreement compliance, and support month-end financial activities with solutions and experts dedicated to the media and entertainment industry.

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Content Licensing

Derive insights to drive content investment and distribution strategy decisions from solutions and experts specialized in ingesting, normalizing, and analyzing content and distributor performance data.

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