We ship 50 AI UGC videos a month and wire them into a flywheel — each one a test, the winners feeding the next batch. For DTC brands done running campaigns that reset to zero.
AI creators and ready-to-post UGC the system makes — no stock, no actors. Tap any reel to play.
see the full set ↓AI-native production. 50+ hypotheses per brand per month, 48 hours to first batch.
Multi-channel orchestration. TikTok Shop, Meta, YouTube, affiliate networks, owned creator pool.
Hook-level conversion data. Winners scale. Losers die in seven days.
Revenue cycles back into the next batch, the next channel, the next experiment.
Most campaigns plateau early, then fade as the creative tires.
We engineer toward a 2.5× compound target — by velocity, not luck.
The differential is not strategy. It's velocity.
We won't show you testimonials we can't prove. So judge the only thing that counts: the actual output. Every frame below is real system output — no stock, no actors, no mockups.
Independent and platform research. Every number cites its source.
One system owns the signals, the production, and the spend — so output stays fast, consistent, and pointed at what actually converts.
The system tracks US and English-market signals in real time — what's selling, which keywords are climbing — and starts producing while a human director is still scrolling to find the angle.
No filming, no set, no crew calendar. Turnaround and output scale with demand, so 50 videos a month is a baseline, not a stretch.
No sick days, no burnout, no staffing gaps. Production runs year-round at a steady cadence, so your pipeline is predictable instead of feast-or-famine.
Results don't swing with someone's bad day. Every batch feeds the next, so the work gets sharper and more optimized the longer you run it.
Data, production, and pipeline live in one system. The message stays coherent, and spend concentrates on the variants that perform and pulls back from the ones that don't — instead of a scattered creator roster you can't steer.
No samples to ship, no waiting on creators. A single product image turns into every video and every per-affiliate variant at once — and into any setting or season on demand, from a snow scene in summer to next season's look today.
Same engine, different altitude — every tier ships at $60 a video, when a single human creator cut runs $200–$600. Start where you are; climb as the data earns it.
The full flywheel, run as a partner rather than a vendor. Mostly equity — we co-own the outcome, so we only take the seat when we'd bet our own time on it. Usually offered after the Flywheel proves out.
Content gets cheaper because the system learns which hooks convert. Distribution gets sharper because the system learns which channels return capital. Revenue gets reinvested into the next loop.
Most DTC brands operate at campaign altitude.
We build the machine underneath.
— Most brands rent attention. We own ours.
Hypotheses tested per month. Not videos shipped.
No exceptions. The cost of letting a loser live is the opportunity cost of the next hypothesis.
Most decisions don't need a call. Most calls don't produce decisions.
Every test, every winner, every kill — on the record. No vanity metrics.
Our model only works on engagements where the wheel can spin enough cycles to learn.
Every recommendation ties to a revenue metric. Not an awards metric. Not a brand metric.
Other studios hand you files. We hand you a read on your market — and the winners pulled out of it.
We map your current funnel. Where traffic enters. Where revenue exits. Where the leaks are.
We blueprint the flywheel. Which loops you have, which you're missing, how they connect.
Content engine fires. First 10 videos in 48 hours. First distribution channels activate.
Attribution tracks every hook. Winners scale. Losers die. Revenue cycles back in.
We are not for everyone.
Templates, playbooks and honest UGC math — free to read, no email wall. The fastest way to judge whether we actually know this before you spend a dollar.
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