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    Media & Entertainment

    Software & AI for Media and Entertainment

    Publish, distribute and monetise content more efficiently with platforms that engage audiences and workflows that let creative teams focus on creating.

    Discuss Your Project All Industries
    Illustration of streaming content tiles and audience analytics

    Industry overview

    Content at scale, without the chaos

    Media organisations produce and manage large volumes of content across many channels. Manual tagging, fragmented asset storage and slow approval processes limit how quickly content reaches audiences.

    We build content platforms, subscriber experiences and production tools, and we apply AI to metadata, search and repurposing so content is easier to find and reuse.

    Operational challenges

    Common challenges we see

    01

    Content hard to find

    Archives are poorly tagged, making reuse slow and inconsistent.

    02

    Manual production workflows

    Approvals and handoffs happen over email and chat.

    03

    Audience fragmentation

    Engagement is spread across platforms with inconsistent data.

    04

    Subscription churn

    Subscribers leave without warning signals being acted on.

    Opportunities

    Digital transformation opportunities

    Content platforms

    Web and app experiences for video, audio and editorial content.

    Smart archives

    Searchable asset libraries with rich metadata.

    Production workflows

    Structured briefs, reviews and approvals.

    Audience analytics

    Consolidated engagement and subscription insight.

    AI use cases

    Where AI can help

    AI features are designed to support people, with review steps wherever decisions carry real consequences.

    AI use case

    Automatic metadata tagging

    Suggest tags, topics and descriptions for new and archived content.

    AI use case

    Transcription and summaries

    Create transcripts and summaries to support accessibility and search.

    AI use case

    Content repurposing

    Draft social posts, newsletters and highlights from long-form content for editors.

    AI use case

    Churn prediction

    Identify subscribers at risk of cancelling to inform retention offers.

    Software solutions

    Suggested software solutions

    Streaming and publishing platforms

    Content delivery experiences across devices.

    Digital asset management

    Organised, searchable libraries for media assets.

    Subscription management

    Plans, paywalls, entitlements and billing integration.

    Editorial dashboards

    Performance metrics for editors and producers.

    Integration considerations

    Systems to connect

    Media stacks combine content, distribution and monetisation systems that need to work together.

    • Content management systems
    • Video hosting and streaming services
    • Subscription and payment platforms
    • Advertising and analytics tools
    • Social and distribution channels

    Example workflows

    How it can work in practice

    Simplified, illustrative workflows showing how digital tools and AI fit together.

    Example: content ingestion

    1. 1

      New video or article is uploaded

    2. 2

      AI generates transcript, summary and suggested tags

    3. 3

      Editor reviews and approves metadata

    4. 4

      Content is published to selected channels

    5. 5

      Performance data feeds the editorial dashboard

    Example: subscriber retention

    1. 1

      Engagement signals are tracked per subscriber

    2. 2

      Model identifies elevated churn risk

    3. 3

      Retention team reviews segments

    4. 4

      Personalised content or offers are sent

    5. 5

      Outcomes are measured to refine the approach

    Explore more

    Generative AI Development

    Language-model features that draft, summarise and extract information, grounded in your own content.

    Learn more about Generative AI Development

    Enterprise Search

    One secure search experience across documents, tickets, wikis and business systems.

    Learn more about Enterprise Search

    Web Application Development

    Modern, high-performance web applications and portals that work beautifully on every device.

    Learn more about Web Application Development

    Data Engineering & Analytics

    Reliable data pipelines, warehouses and analytics that turn scattered data into decisions.

    Learn more about Data Engineering & Analytics

    FAQs

    Frequently asked questions

    Answers to the questions we hear most often. If yours is not covered here, our team is happy to talk it through.

    Ready to work smarter with content?

    Let’s explore how better platforms and workflows can help your teams and audiences.

    Talk to Our Experts