Recent workPilot

Advertiser analytics for a flagship reality show

Agents watch every episode and report each sponsor's visibility, with video evidence.

Visual for advertiser analytics for a flagship reality showOne of India's largest media and streaming companies
Problem statement

What the client was up against

More than 20 sponsors pay for visibility inside the house through zones, placements, screens and branded rooms. Nobody could measure delivery against each sponsor's tier objectively or quickly enough to fix it while the show was on air.

Our approach

How we approached it

  1. Loaded 22 brands and about 38 placements as reference assets
  2. Processed every episode since the premiere automatically
  3. Scored each appearance on duration, size, clarity, position and clutter
  4. Compared delivery with each sponsor's tier every week
Solution we created

What we built

The Cortex AI advertiser analytics platform. Agents recognise sponsor branding frame by frame and produce visibility scores, dashboards and time coded video evidence for leadership, the brand solutions team and approved advertisers.

Agents in the system

The multi agent team behind it

SourcesEpisode video feed, sponsor and placement lists, dashboards and advertiser portal
Recognition agentFinds logos, products and brand text on screen
Scoring agentRates each appearance for impact
Tier agentCompares delivery with what each sponsor bought
Advice agentSuggests placements that fix under delivery
People decideReview, approve and act
Recognition agentFinds logos, products and brand text on screen
Scoring agentRates each appearance for impact
Tier agentCompares delivery with what each sponsor bought
Advice agentSuggests placements that fix under delivery
Episode video feedsponsor and placement listsdashboards and advertiser portal
What it was built to change

The outcome it is designed for

Objective sponsor reporting within days, early warning on under delivery and evidence that supports renewals.

This is a pilot without published results yet. We show the problem and the build, not numbers we have not measured.

Client names, detailed case studies, demos and references can be shared on request.

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