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Code Colonies

Industry

Media and Entertainment

A searchable archive of every clip, with publishing to each platform from it. Media companies produce more content than ever across TV, OTT, YouTube, podcasts and news sites, often in several languages. Value sits in the archive and the audience data, yet rights, metadata and performance figures are usually scattered across drives, spreadsheets and platform dashboards.

  • News publishers and digital newsrooms
  • Broadcasters and regional channels
  • OTT and streaming platforms
  • Production houses and studios
  • Music labels and podcast networks
  • Creator and influencer agencies
Man sitting at a desk editing video footage on a computer

The pressure points

What slows media and entertainment teams down

Archives nobody can search
Years of footage and articles sit on drives with file names as the only metadata, so editors re-shoot or license material they already own.
Rights tracked in spreadsheets
Territory, platform, language and window restrictions live in contract PDFs, so content is sometimes published where it should not be.
Audiences split across platforms
YouTube, OTT, social and the website each report differently, and no one has a single view of what works.
Multilingual workload
Subtitling, dubbing scripts and translated articles for each regional market multiply the work for every piece.

Built for this sector

Systems specific to media and entertainment

The work that generic software does not cover, and where most of the value sits.

Rights and royalties management
Contract terms by territory, platform, language and window, availability checks before publishing, and royalty statements for partners.
Editorial CMS and newsroom workflow
Story assignment, drafting, legal review, scheduling and distribution to web, apps, AMP and social from one desk.
OTT platform and video pipeline
Transcoding, DRM, adaptive streaming, content catalogue and apps for mobile and smart TV.
Ad operations integration
Ad server links, sponsorship tagging, campaign delivery reports and reconciliation for direct and programmatic deals.

Where AI helps

AI use cases with a clear return

  1. Archive tagging and search

    Transcribes and tags footage by people, places, topics and scenes so editors can search the archive by what was said or shown.

    Editors find usable archive material in minutes and reuse more of what you own.

  2. Subtitle and translation drafts

    Creates subtitle files and translation drafts in Hindi, Tamil, Gujarati and other languages for human editors to correct.

    Regional versions reach audiences faster at a lower cost per title.

  3. Editorial desk assistant

    Summarises wire copy, suggests headlines and checks facts against the publication's own archive, with the editor deciding.

    Journalists spend more time reporting and less on routine rewrites.

  4. Audience and churn analytics

    Finds which titles, genres and release times bring in and keep subscribers, and flags subscribers likely to cancel.

    Commissioning and marketing decisions draw on viewing behaviour.

  5. Rights check before publishing

    Reads contract terms into structured rights and warns when a scheduled release breaks a territory or window restriction.

    Fewer takedowns and disputes with licensors.

What your team would see

Content and audience performance
Illustrative
Watch hours (month)
2.8 M
Paid subscribers
1.42 L
Monthly churn
6.8%
Archive assets tagged
63%

Weekly watch hours, lakh

Weekly watch hours, lakh, point 1: 5.8Weekly watch hours, lakh, point 2: 6.1Weekly watch hours, lakh, point 3: 6Weekly watch hours, lakh, point 4: 6.6Weekly watch hours, lakh, point 5: 7.4Weekly watch hours, lakh, point 6: 7.1Weekly watch hours, lakh, point 7: 6.9Weekly watch hours, lakh, point 8: 7.3Weekly watch hours, lakh, point 9: 7.8Weekly watch hours, lakh, point 10: 8.1

Watch time by language, %

  • Hindi41
  • English19
  • Tamil15
  • Telugu13
  • Gujarati12

A sample of the kind of dashboard we build for this sector. Figures are illustrative.

Connects with

  • YouTube and Meta APIs
  • Google Ad Manager
  • Video CDNs and DRM providers
  • Apple App Store and Google Play billing
  • Razorpay and Stripe
  • Google Analytics and Firebase
  • Newswire feeds

Rules we design for

Before you start

Media and Entertainment: common questions

Can AI tagging handle regional languages?

Speech recognition and tagging now work reasonably well for major Indian languages. We test on a sample of your own archive first and report accuracy before scaling.

Do you build OTT apps from scratch?

We often combine a proven video platform for transcoding and DRM with custom apps, catalogue and billing. Building every layer yourself rarely pays off unless video is your core technology.

How is AI generated content handled?

Drafts are labelled, edited by a person before publishing and logged, so you can show what was AI assisted if asked.

Talk to us

Working in media and entertainment?

Tell us which process hurts most. Someone who knows the sector will reply with two or three options and rough hours.

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Start a conversation

Tell us what you are trying to build.

Share the problem in a short call. You leave with a clear view of the approach, the team and the cost.

Or get a ballpark proposal in two minutes

A specialist replies within one working day. The first conversation is free.

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