This is how the INNR model works: a project goes through an audience test first, and only then does production money go in. The test ends in an evidence pack for producers and investors: who watched, who took action, and what one engaged viewer costs. First project: THE SHIFT, test starting October 2026.
The industry measures demand 3–6 weeks before release, and pre-production forecasts are not independently validated. We measure demand before the money goes in.
Forecasts demand, but builds no stories.
Build strong worlds, but test the audience after greenlight.
Builds the IP and measures demand for it before production money.
Everything below is collected before a single production dollar is spent — the audience’s response in numbers, not in a pitch.
| Analytics | Studios | INNR | |
|---|---|---|---|
| Builds the IP | — | ✓ | ✓ |
| Demand data before production | model | — | measuring |
| Project audience | — | after release | built before release |
| Who funds development | — | financier | INNR |
Metrics: Awareness → Interest → Intent · Owned audience · Cost per engaged viewer
Until production, we fund everything ourselves; at production, the author invests 10% of the budget. That is why we test everything carefully: it is our own money at risk.
The more personal data we give a personal AI, the smarter — and more useful — it becomes. But where is the line?
| Hypothesis | Success criterion | Basis |
|---|---|---|
| H1. The conflict hooks viewers | Average episode completion ≥ 70% | Humble&Brag agency benchmark for YouTube Shorts — agency experience, not independent research |
| H2. People want into this world | Visit → sign-up conversion ≥ 12.3% | Median for Entertainment landing pages, Unbounce 2024, 41,000+ pages |
| H3. Which side is stronger | Statistically significant difference (95%) | Standard A/B-test threshold |
| Economics | A subscriber costs less than one movie ticket ($16.30) | Average US ticket price, CableTV.com 2026 |
These are our go / rework decision criteria, not a box-office forecast. There is no verified benchmark for “subscriber → cinema-goer” conversion — that is exactly what we will measure.
Tension. To make an intelligence truly useful, you have to feed it your private life.
Story. Alex, a startup founder after a string of failures, creates EXTRA — a personal intelligence meant to help him build a great product almost alone. For EXTRA to become truly useful, Alex has to share his private life with it. He starts to see himself from the outside — and to change.
The audience discovers the world through EXTRA’s “eyes and ears” — she sees and hears the physical world through wearable AI devices.
How the work runs inside every test.
Thousands of discussions on Reddit, TikTok, YouTube and forums. Not trends — the fears, desires and arguments that don’t go away.
Turn the tension into a central question. Design world rules that force hard character choices.
Audience interest is short-lived. AI trailers and a micro-series go live to measure response. An idea with no response is reworked or stopped.
Viewers don’t watch ads — they take part: decode artifacts, pick a side of the conflict, unlock the world step by step.
We give formats, templates and keys to the world. Remixes and theories spread without ads.
By premiere day the audience is built, the conversation is live, the communities are ready. Reactions fuel the next chapter.
License or co-produce. Audience test October–December 2026; evidence pack January 2027.
Until production, we fund everything ourselves; at production, we invest 10% of the budget.
Test your story on an audience. Build the IP. Grow the community.
AI products and brands inside the story, not ads placed around it.
Agreed — research shows it adds little once the budget is known. That’s why we measure actions, not views: sign-ups and “notify me at premiere”.
25 years in TV production (3 TV channels, 40M+ households) and 10 years building technology products. We bring product-validation methods from tech into film development.
Nothing up front. Until production, we fund everything ourselves. We come to you with the evidence pack.
Yes. At production, the author invests 10% of the budget — which is why we test everything carefully.
Then the project is reworked or stopped before production money is spent. That is the point of the test.
THE SHIFT assets are held by Inner Inc. (US). Chain of title available under NDA.
Producer · Founder of INNR [FLMS]. Product-validation methods from tech, applied to film.
Materials are shared after an intro call, under NDA.