Case Study · AI Platform · 2025

AiSiktir.app: image, video and audio generation

AiSiktir.app brings image, video and audio generation into one interface, with project history, credits and job status. A media editor is planned for a later product phase.

Own product

AiSiktir.app

Industry

AI / SaaS / Creative Tools

Year

2025

AI PlatformSaaSGenerative AIVideoAudio
AiSiktir.app

Image, video and audio generation in one working product

An internal Brand Design Ltd. experiment grew into a product for creators who otherwise had to move between separate AI tools and workflows.

A shared interface connects the generation providers with project history, credits, payments and job status. Failed jobs return credits, while the media editor remains a separate next product phase.

The Problem

Most AI tools are either too complex for non-technical users or too narrow to produce real, usable content.

Creators jump between platforms, lose hours, and waste money on inconsistent results. The AI capability is there - the usable product around it isn’t.

The Idea

Build a single platform where anyone - marketer, founder, creator - can generate images, video, and sound and actually put them to work, without ever touching a model directly.

AiSiktir.app — AI Generation Interface
AiSiktir.app — Creative Dashboard
AiSiktir.app — Design Editor
AiSiktir.app — Platform Dashboard

The Solution -
System Architecture

We designed and built AiSiktir.app as a full-stack AI product that hides the complexity of orchestrating multiple AI providers behind one deliberately simple interface.

Frontend: React SPA with a user dashboard for projects, credits, and history.

Backend: Node.js + Express, orchestrating AI providers, job state, and retries.

Database: MongoDB, tracking users, credits, and generation history.

Infrastructure: Hostinger for the frontend, Render for the backend, GitHub CI/CD for publishing updates.

The AI Pipeline

Instead of betting on one model, we built a multimodal pipeline so each medium is served by the best-in-class option available - and is swappable as the landscape shifts.

Images - FLUX, Nano Banana (Pro / 2)

Video - Kling, Veo 3.1

Audio - Kling, Lirya 3

Result: one interface, multiple AI capabilities, one consistent output surface.

Business Model

We implemented a credit-based system that abstracts the pricing differences between models and makes spend legible for end users.

Clear cost per generation, independent of the underlying provider. Stripe integration for global payments. Free onboarding credits to eliminate first-use friction.

Result: lower friction to first value, faster adoption, cleaner unit economics.

User Experience

Generated media is already available in the platform. Editing and assembling that media within the same interface is the next planned product phase.

The next product phase is a media editor for arranging, branding and exporting generated assets inside the platform. The current case does not present that editor as a delivered feature.

Planned outcome: generating, editing and exporting content in one place.

Reliability

AI tools often fail silently. We built against that from day one.

Every generation is tracked end-to-end. Failed jobs automatically refund credits. Clear, honest feedback in the UI at every step.

Result: trust and transparency - the parts of an AI product that actually compound.

AiSiktir.app — Full Platform View

Results

AiSiktir.app started as an internal Brand Design Ltd. experiment and became a Bulgarian-language platform for AI video generation. Image and audio generation were added later.

The founder reports 50 registered accounts, with around 20-30 recurring users. The product reached these users without paid advertising. Registrations and recurring use are separate figures; no paid-user count is published.

This is a founder-owned product, not an independent client engagement. The recurring-user range described in the case is not a paid-user count; a fixed cohort period, paid conversion and retention rate are not published here.

Strategic Value

AiSiktir.app is not just a tool. It’s a proof that we can architect - and ship - complex, multimodal AI products as scalable business systems, not just one-off features.

We use the product experience in B2A Product and in web development projects with AI features. The brief determines the scope of each project.

Thinking about
building something
like this?

If the product brief is clear, we can discuss the implementation directly. When the business questions are still open, the Business Audit can help define the scope.

An AI-assisted product with a recognisable brand?

Connect the product promise, interface and content workflow. A clear product brief can move directly to project discussion.