AI product photography and AI influencers for brands.
A brand model who never misses a shoot, and product imagery that never needed a studio booked. aipple designs one person, photoreal down to the freckles, who wears your product and shows up identical in every scene, then produces the campaign creative around them through a pipeline that ends with every claim traced to a source.
What is an AI influencer, and how is it different from stock?
Stock is a stranger who appears once. A filter is a face you borrowed. What we build is a designed person who belongs to your brand: the same features, the same build, the same details, in the gym, at the market, in a bookstore, under night flash on a street. The program starts from the buyer profile of the product rather than from a mood board, because who actually buys the thing decides what her day looks like and therefore what the photographs should be. Every scene is generated, never photographed, and every scene is the same model. See the AI Model Program case study for the full set.
How do you keep the same face across a whole campaign?
With a character sheet locked before the first campaign shot: a turnaround, an expression board and a hero portrait, agreed and fixed. Everything generated afterwards references that sheet, which is why the fitness set, the farmers market set, the home studio set and the streetwear night set all read as one person rather than six people who happen to look similar. This is the part most AI imagery gets wrong and the part buyers notice fastest. A model who drifts between shots costs the brand more credibility than the photographs were worth.
Can I get product photography without a studio?
Coppr is the answer we point at. The copper drinkware brand needed everything, and the product photography was generated rather than shot, with shot direction, styling and renders produced by us and no studio, no crew and no sample shipping involved. Underneath the images sits a full brand sheet: logotype, palette and type set, so the photographs and the store speak the same language instead of arriving from two different vendors. Worth stating plainly: the Coppr store currently sits on a myshopify staging URL rather than a custom domain. The build is covered in the Coppr case study.
Why does the research come before the creative?
Because the gap in a category is easier to see from outside it. For ArgenTea, a canned yerba mate brand entering a crowded shelf, we profiled six competitors from their live ad libraries before any creative existed, read duplicate-creative counts as a signal of what those competitors were scaling, and pulled in two adjacent categories as a reference set. The ad angles came out of that map rather than out of a brainstorm. Honest caveat on that set: two ArgenTea variants carry garbled label text and need a pass before release. See the ArgenTea case study.
How does a creative batch actually get made?
Seven steps, in order, on every account. Research: a live scrape, a business profile pull, the competitor set and the real review file. Personas: six to eight per client, each carrying a stated objection. Angles: one per ad, no repeats inside a batch. Hard rules: banned phrases, brand law, and whatever the client's regulator requires. Generate: three options at every decision, the strongest picked, the reason recorded. Claim check: every figure tagged to a dated source. Compliance: a four-column pass per ad covering outcome guarantees, banned phrases, invented results and disclaimers. Thirty-two creatives moved through this pipeline in a single day on 14 August 2026 across four client batches. All thirty-two are produced and none are running, so there is no cost-per-lead or click-through data behind any of them, and we will not present any. The pipeline itself is written up in the creative pipeline case study.
What if my industry regulates what an ad can say?
Then the constraints get written down before anything is designed, not checked afterwards. For Starr Injury Law, a Texas personal injury practice, the rules were set first: never claim, imply or invent a case result, never use phrases like best results or guaranteed, never reference the contingency fee percentage, always carry the disclaimer wherever an outcome is implied, and use only real photographs of the attorney. Eight creatives were built against those rules and checked against Texas Rule 7.04, and all eight cleared the compliance row. See the Starr Injury Law case study.
What does a model program or a creative batch cost?
We do not publish a rate card. It moves with how many products need covering, how many scenes each has to live in, and whether a model has to be designed and locked before anything else can start. A brand with one hero product and a brand with three product lines are not the same job. The number for your brand comes out of the free revenue audit, which looks at what you sell and where the images have to run before anyone quotes anything.
Straight answers.
How much does AI product photography cost?
We do not publish a rate card. It depends on how many products need covering, how many scenes each appears in, and whether a brand model has to be designed first. Your number comes out of the free revenue audit.
Will an AI model look fake in my ads?
That risk is exactly what the character sheet removes. The turnaround, expression board and hero portrait are locked before the first campaign shot, so the same face carries across every scene afterwards. A model who drifts between photos reads as fake immediately.
Do I still need a product photographer?
Not for the work we did with Coppr. That brand's product photography was generated rather than shot, shot direction, styling and renders all ours, no studio involved, alongside a full brand sheet covering logotype, palette and type.
Can one brand have more than one AI influencer?
Yes, when the audience genuinely splits. A face that reads right to a gym audience is not always the face that reads right to a wellness buyer, so each model is built from its own buyer profile before any scene is generated.
How do you stop an ad from making a claim my brand cannot back?
Two pipeline steps exist only for that. The claim check traces every figure to a dated source file, and the compliance pass runs four columns per ad: outcome guarantees, banned phrases, invented results, disclaimers. Starr Injury Law had eight creatives checked against Texas Rule 7.04 and all eight came back clean.
What do you need from me before you can start?
Your product, your real reviews, and who you believe buys it. The pipeline opens with research: a live scrape, a business profile pull, a competitor set. For ArgenTea we profiled six competitors from their live ad libraries before a single creative existed.
Build the face your brand keeps.
30 minutes. No pressure. We look at your product, your buyers and what your category is already saying.
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