Launching Yango Tech brand photo bank with AI



When I set up Yango Tech, Yandex Lavka’s new international B2B SaaS business, we needed more than strategy, branding, and visual demos. We had to show the product in action. Even in B2B, partners want a clear, tangible picture of the solutions on offer.
The standard route would have been a full photoshoot, producing a library of images for sales decks, business channels, and the website. Instead, I turned to AI. Using generative imagery cut the cost of a shoot, typically $6k to $30k, down to almost zero, accelerated our time-to-market, and gave us a way to create visuals with a consistent style on demand.

Here’s how I built a cohesive brand photo bank:
Prompt framework
I used Midjourney. The first step was crafting a universal prompt template we could tweak for every new image, ensuring stylistic consistency.


Reference images
Alongside the text prompt, I supplied reference shots from existing materials to lock in exact poses or actions. Stock photos work too—buy an image with the right motion and feed it in so Midjourney can recreate it in the Yango Tech look.

Iterate and refine
After a few rounds we hit the quality bar. Product shots needed extra retouching: cleaning artifacts and compositing real UI screens into devices.

Asset library
I mapped out key storylines and, using the prompt template, generated the images that became our brand photo bank. Each follows the same rules, showing our solutions in action while staying visually on brand.

By replacing a traditional shoot with AI, we kept costs low, sped up the launch, and established a repeatable process for producing visuals that speak the same visual language.