The real constraint on performance is creative volume
Meta rewards testing. The brands that win are not the ones with the single best ad, they are the ones that put enough angles in front of enough audiences to find out which angle actually works. That takes volume, and volume is exactly what traditional production cannot give you.
A top creator costs what a top creator costs, and delivers a handful of pieces. A design team caps out at whatever it can hand-make in a month. So most brands end up betting the budget on three creatives and hoping. We remove the cap. You give us the product and a creative direction, and the engine produces hundreds of finished, ready-to-run pieces from it, at roughly a tenth of what the equivalent creator output would cost.
Built for distribution, not for a portfolio
Every piece that comes out of the engine is made to be run, not admired. One source brief becomes many hooks, several formats and aspect ratios, and multiple languages, so the same product can be pushed across every placement and every market you sell into.
That matters most where the market is large and multilingual. We run a single content engine feeding Mamaearth, Aqualogica, The Derma Co, Dr. Sheth's and Dr. Facts, turning products and messaging into finished multilingual video with no film crew behind it. That pipeline has delivered over 1,000 content pieces.
The engine improves with every round
Production is only half of it. Performance data flows back into the system, so the concepts most likely to work get selected, the winning hooks and formats get generated around, and the pieces that stall get retired. Because a new batch costs a fraction of a shoot, the engine compounds instead of resetting every month.
This is what we run for Adkrity and Xyxx. Adkrity's creative production went from a manual design job per ad to a pipeline that turns out finished, on-brand ads on demand; Xyxx runs the same generative video engine for a steady supply of ready-to-run video ads. Combined output across the two: more than 1,500 high-performing ads.
Product imagery, without the photographer
The engine is not only video. For Vision 360 we built a custom AI image agent for jewellery, which is one of the hardest categories to photograph: every piece has a different shape, size and best angle, and traditional shoots with models and set design are slow and expensive.
The agent scans the physical piece, detects its shape and size, picks the angle a skilled photographer would pick, generates with high attribution so the render stays faithful to the real jewellery, places it on a model inside a chosen theme, and outputs a polished on-model image ready for the store and for ads. Studio-quality output at a speed and scale a traditional studio cannot match.
Who this is for
D2C and consumer brands running performance marketing who need high creative volume without proportional headcount or production spend. Performance marketers and ad agencies who are creative-bound rather than budget-bound. Catalogue-heavy businesses that need product and on-model imagery faster than a studio can shoot it.
If you run a handful of ads a quarter and they are working, you do not need this yet. If your testing is limited by how much creative you can produce, or your cost per creative is what stops you from scaling, this is the right engagement.