Streaming Intelligence Engine. Evaluated at concept, script, or first cut — before production is committed or a season is locked. Completion rate, binge potential, and platform fit assessed before a rupee is spent.
SDI evaluates series and streaming titles across every major content category in the Indian streaming ecosystem.
The questions SDI answers before production begins, before a season is locked, before streaming decisions are made.
Series concept / pilot script / first cut of Season
CLE Series Rating — Concept + Category + Genre
Completion rate forecast + platform fit assessment + series development roadmap
Every evaluation is benchmarked against a continuously updated database of Indian and international series — across fiction, non-fiction, documentary, and direct-to-OTT titles.
The question most streaming research answers is: did audiences enjoy this content? That is the wrong question. The right question is: does this concept have the narrative and structural design to hold an audience through multiple episodes — and does it align with how streaming behaviour is evolving on its target platform?
Not against static benchmarks. The SDI streaming model is continuously updated with every series that releases — across fiction, non-fiction, documentary, and direct-to-OTT titles.
A crime thriller series on a premium platform has different audience expectations than a family drama on a mass platform. SDI benchmarks every concept within its category and platform context.
CLE Series rating with no pathway is just a number. SDI delivers specific recommendations — what will improve binge velocity, what will reduce drop-off, and what will strengthen platform fit.
Will audiences complete this?
Completion rate forecast — benchmarked against comparable series in the same category and genre.
What is causing drop-off risk?
Episode design, pacing, character investment, narrative architecture — scored against streaming audience behaviour patterns.
Is this concept built for its platform?
Platform fit evaluation — genre alignment, tone, target audience match, and algorithm discoverability potential.
What changes — and how much will each shift the forecast?
Development recommendations with quantified forecast impact — not just notes.
A structured evaluation and an active conversation — not a report filed and forgotten. Engagements cover concept stage through pilot, before series goes into production.
Concept stage through pilot — before series goes into production.
Earlier engagement = more creative decisions still open = higher impact.
Greenlight Engine. Forecast lifetime box office potential before a rupee is spent on production. CLE rating + script-level recommendations.
Explore →After rough cut, before final edit. CLE rating for the completed film, lifetime forecast, micro edit-level feedback.
Explore →Before the campaign launches. CDE rating, first day forecast, positioning strategy, asset rollout plan.
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