Sanaya AI Case Study

Client

Sanaya AI

Industry

AdTech · AI SaaS Platform

Scope

Product StrategyUI & UX DesignWeb App DevelopmentAI IntegrationAd Platform & Store Integrations

A self-service AI advertising platform that lets GCC small businesses go from a single prompt to published, revenue-tracked ad campaigns across Meta, TikTok, Snapchat, LinkedIn and Google Ads — in Arabic and English.

Next.jsDjango RESTPostgreSQLOpenAI GPT-4 & DALL·E 3ElevenLabs

Sanaya AI is built prompt-first: a business owner describes the ad they want — in Arabic or English — and the platform generates the copy, the visuals and the platform settings, then publishes to Meta, TikTok, Snapchat, LinkedIn or Google Ads without ever opening an Ads Manager.

“Small businesses don't need an agency — they need ten good minutes.”

One Platform, the Whole Journey

From a single workspace, users create AI image and video ads, pull products straight from Salla, Zid, Shopify, WooCommerce or Amazon, launch campaigns and watch every riyal of spend tie back to revenue — a clear "1 SAR in, 3.6x out" view powered by unified cross-platform data.

Project capability

An AI Co-Pilot That Recommends — and Keeps the User in Control

The dashboard reads live pixel health, ROAS, CTR and conversion signals and turns them into plain-language recommendations — increase this budget, pause that campaign — each one applied only when the user approves it. Simple guardrail rules (pause on CPA spikes, alert on CTR drops) keep spend safe without taking decisions away from the business owner.

Product StrategyUI & UX DesignWeb App Development

Build your platform

1prompt to a live, tracked campaign

5ad platforms — Meta, TikTok, Snap & more

GCCbuilt for small-business advertisers

Arabic-First, Truly Bilingual

Every screen, chart and AI-generated creative works in both Arabic and English, with a full right-to-left interface — built for GCC businesses from day one, down to dialect-aware ad copy per market.

Insights Without the Analyst

Ad Insights unifies audience, pixel activity and performance trends across every connected account into one readable view, with white-label PDF and CSV reports agencies can hand straight to their clients.

Engineering a Multi-Model AI Pipeline

Under the hood, Element8 architected a Next.js + Django platform where every AI capability — GPT-4 copywriting, DALL·E 3 visuals, ElevenLabs voiceovers, template-driven video — sits behind a swappable abstraction layer, and every ad network and store integration is an independent handler module. New models and new channels plug in without touching the core, and a unified time-series data layer is already in place for the autonomous-optimization phases on the roadmap.