CreativeOS provides a paid‑media infrastructure that automates the production and analysis of ad creative at scale, eliminating the need for additional hires or separate software. Its closed‑loop system combines an AI‑driven production engine—delivering 40–90 static, video, and multilingual UGC creatives per month—with an intelligence layer that tags, detects signals, and maps performance roadmaps, supporting brands with over $10 million in monthly ad spend.
Funding
Funding not disclosed
Founders
Product
Problem
Paid‑media campaigns often stall because creating, testing, and iterating ad creatives is manual, slow, and requires dedicated staff or multiple tools. Brands and agencies cannot reliably identify which creative elements drive performance, leading to either too few assets or an overload of low‑quality variations that waste budget.
Solution
CreativeOS delivers a closed‑loop production and intelligence engine that automates the generation, testing, and continuous improvement of paid‑media ad creatives. The platform uses AI‑generated user‑generated content (UGC) with realistic faces, multilingual support, and product‑in‑hand visuals, combined with static, video, and format variations to produce 40–90 new assets each month. Each creative is tagged by hook, persona, awareness stage, and format, and fed into an AI signal‑detection layer that surfaces performance drivers. Human analysts review the data to build an iteration roadmap, creating sequels to winning ads and eliminating guesswork. Integrated directly into a brand’s existing ad account, CreativeOS scales creative output without additional hires or separate software.
Target Audience
Primary customers are scaling brands, portfolio operators, and performance agencies that manage significant paid‑media spend and need a reliable, high‑volume creative pipeline.
Features
- AI‑generated realistic UGC assets with multilingual and product‑in‑hand capabilities
- Automated production of static, video, and multi‑format variations in weekly sprints
- Tagging system that classifies creatives by hook, persona, awareness stage, and format
- AI‑driven signal detection and performance analytics to identify winning elements
- Human‑validated performance analysis and iteration roadmap for continuous improvement
- Closed‑loop workflow that feeds test results back into the creative generation engine