Media and entertainment companies need to produce more content, reach the right audience and monetise effectively. We build AI solutions for content creation, recommendation, moderation and audience analytics.
AI in media and entertainment uses recommendation engines, generative AI, computer vision and speech technology to personalise content, speed up production, moderate user content, create subtitles and translations, and understand audiences, for publishers, broadcasters, streaming platforms, studios and agencies.
Media solutions integrate with CMS, DAM, video platforms and analytics tools through APIs. We use large language, vision and speech models, vector search for archives, and recommendation frameworks built in Python, hosted on Azure or AWS. We pay close attention to copyright and consent: generative tools are configured to use licensed or owned material, and outputs are reviewed by editors before publication.
Media clients use our AI development, AI integration and data science services. You can also hire AI developers or prompt engineers for content workflows.
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Last updated: October 2026 · Prominent AI Services LLP engineering team
Answers to common questions about AI for publishers, broadcasters and streaming platforms.
They learn from what users view, read or listen to, and from content features such as genre and topic, to predict what each person is likely to enjoy next. Results are tested with A/B experiments.
Yes, with the right controls. Tools are set up with your style guide and approved sources, outputs are checked for accuracy and tone, and editors approve content before publication.
Yes. Speech AI produces accurate transcripts and subtitles in many languages, and translation models produce drafts that human editors review for quality.
Vision and language models screen images, video and comments for harmful content and prioritise items for human moderators, making moderation faster and more consistent.
It depends on content volume, the feature and integrations. A pilot for tagging, subtitles or recommendations is usually a fixed-price project.
A pilot on part of your catalogue typically takes six to ten weeks, including integration and measurement.
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