The influencer economy has a supply problem. We manufacture supply.
Attention is fragmenting into ever-narrower niches, in ever-more languages, faster than human creators can serve it. NEOVIDEOLAB produces AI video presenters that hold a niche audience of ~500 and up — then reproduces that, channel after channel, into a promotion pool that scales.
Why now, and why this.
Three shifts have to be true at once for this to work. They are.
Presenters cross the bar
AI video is now realistic enough to hold a small, engaged niche audience — the exact scale where quality matters more than spectacle. We build to that bar deliberately.
Reproducibility, not reach
We don’t chase one giant hit. Once a channel works at ~500 subscribers, the pipeline reproduces it across niches and languages. Copies compound; hits don’t.
Small pools into big
No single channel needs scale. Hundreds of reliable micro-channels aggregate into inventory a brand can buy as one always-on media placement.
One channel is the unit. The pool is the business.
We think in channels the way a manufacturer thinks in units: what it costs to produce one, when it pays back, and how cheaply the next one comes.
The figures above are illustrative of how the model is structured and are not projections, forecasts, or an offer of investment. Full assumptions and current metrics are in the deck.
What keeps this hard to copy.
The quality bar itself
Anyone can spin up an AI face. Making content people subscribe to even when they suspect it’s AI is the hard part — and it’s what we optimise for first.
Obscure-language reach
We can economically serve languages global players won’t touch. Every market we open is one a competitor has to build from zero.
A reproducible factory
The advantage isn’t any one channel; it’s the system that turns out the next hundred cheaply and consistently.
Trust as inventory
Never missing a post, never fighting the script — the thing brands can’t get from humans becomes our pricing power.
Backing what comes after the influencer.
We’re raising to widen the pipeline, open more languages, and turn the pool into buyable inventory for brands. If that’s your thesis too, let’s talk.
Bracketed fields are placeholders — drop in your round details before publishing.