Qamera AI is a virtual product-photography studio. You select, compare and approve, with no prompts and no shoot. We build and run it ourselves, and we build AI like it for you too.
A finished SaaS product that we build and run ourselves. It is live.
A virtual studio for product photography and video.
Pick a product, model, scenery and style. The AI agent composes the frames and you approve them. No prompting. A session is ready the same day.
"Qamera AI gave me back control. This morning I came up with a 'Vogue in Sicily' session, and by the afternoon the photos were already in ads on Facebook."
SOURCE: PUBLIC QAMERA.AI / LAVEL CASE STUDY
LAVEL is a family-owned swimwear producer that has been on the market for 15 years. It used to shoot catalog photos on location; the last large session was in Malta, around 2019. The same scope, 200 products, cost PLN 14,000 in Qamera AI.
| Item (location shoot, 200 products) | Cost |
|---|---|
| Model from the USA | PLN 68,400 |
| Model from Spain | PLN 45,600 |
| Flights and transfers | PLN 25,000 |
| Accommodation and food | PLN 30,000 |
| Photographer with assistant | PLN 30,000 |
| Makeup and styling | PLN 20,000 |
| Locations and permits | PLN 12,000 |
| Post-production | PLN 19,000 |
| Total | PLN 250,000 |
| Qamera AI, same scope | PLN 14,000 |
The difference is PLN 236,000, or 94.4% less. The PLN 250,000 breakdown is a reconstruction of a typical shoot of that scale from the known total and parameters (two models, about six shoot days, the 2019 USD rate), not the client's invoice.
The amount is not the whole story. Each location shoot was a single trip: the weather could ruin it, there was no second attempt at the same price, and tailoring fixes only showed up in the photos. Per-photo billing made the number of shots per product a cost decision, not a creative one. And there was no way to test the concept before spending the whole budget.
The new photos went to four places: product pages, the Meta ads catalog, Google Merchant Center and social media posts. Time from a shoot idea to a publish-ready photo fell from 25 days to one day (LAVEL's measurement).
Q1 2026 is the window in which nothing but the photos changed. Compared with Q1 2025:
| Metric | Q1 2025 | Q1 2026 |
|---|---|---|
| Orders | 604 | 1,248 |
| Revenue | PLN 253,266 | PLN 641,856 |
| Average order value | about PLN 419 | about PLN 514 |
In Meta ads, ROAS rose from 9.9 to 13.52 (+37%), link CTR from 3.75% to 5.69%, and cost per click barely moved (PLN 0.30 and 0.31). Clicks from Google Shopping rose from 21.6k to 60k, after falling the year before. From 1 January to 31 July 2026, store revenue was 2.13 times higher than a year earlier.
The case study does not attribute all of the growth to the photos; it says the change started with them. There is no product page conversion data, because the store does not collect it. Sales data comes from Baselinker, ad data from Meta and Merchant Center.
The LAVEL case suggests AI product photos change the most for a fashion brand when:
A brand that sells a handful of products a year and already has photos that work will gain less.
Qamera AI is a ready tool: a store can use it on its own. If you need more, such as connecting photo generation to your product catalog and sales channels, or your own process on the same technology, we build it as a rollout. Book a meeting and we will work out which route makes sense for you.