Curastory
The Client
Curastory is a creator media platform that helps brands and creators produce, distribute, and monetize high-impact video content through data-driven advertising and storytelling workflows.
As Curastory rapidly expanded its creator network and campaign volume, the company sought to modernize how campaign briefs, creator personalization, and content orchestration were managed at scale. To support this growth, Curastory engaged RevStar to implement AI-powered workflow automation and scalable multimodal machine learning infrastructure on AWS.
Summary
AI-Powered Digital Media Platform
AWS SageMaker, Hugging Face Qwen 2.5 VL, Multimodal AI, Automated Evaluation Frameworks, Cloud-Native Infrastructure
Solution Architecture, Delivery Management, AI/Data Engineering, DevOps Engineering, Quality Assurance
RevStar deployed a multimodal AI framework on AWS SageMaker to automate campaign brief generation, personalize creator workflows, and support scalable AI-powered campaign orchestration.
Enabled scalable AI-powered campaign personalization workflows while significantly reducing manual campaign brief generation effort across Curastory’s platform.
The Challenge
As Curastory’s platform adoption accelerated, the company faced increasing operational complexity in managing campaign brief generation and creator personalization workflows at scale.
Manual campaign brief creation required significant time and coordination, while aligning brand messaging with individual creator styles became increasingly difficult across a growing volume of creator content and advertising campaigns.
At the same time, Curastory needed a scalable framework capable of processing multimodal datasets, validating AI-generated outputs, and maintaining brand consistency while supporting rapid platform growth and evolving creator relationships.
The Problem
Curastory needed a scalable and intelligent way to automate campaign brief generation and personalize creator workflows without relying on time-intensive manual processes.
The Solution
We deployed a modernized multimodal AI framework on AWS designed to automate campaign orchestration and creator personalization workflows at scale.
The solution streamlined campaign brief generation, creator alignment, and evaluation workflows through scalable AI-powered automation while supporting high-volume multimodal data processing and continuous model refinement.
To improve operational consistency and long-term scalability, we implemented automated ingestion pipelines, reproducible evaluation frameworks, and cloud-native infrastructure designed to support future AI-driven campaign operations and personalization capabilities.
What We Built
To support Curastory’s AI modernization goals, we built a scalable multimodal AI framework on AWS SageMaker capable of automating campaign brief generation and creator personalization workflows at scale.
To meet project requirements, we deployed cloud-native multimodal machine learning infrastructure designed to process commercial video data, creator content, and campaign metadata through scalable AI-powered workflows. The solution introduced automated evaluation frameworks, reproducible ingestion pipelines, and personalized creator brief generation capabilities designed to support long-term operational scalability and campaign growth.
The Team
Results
Our ability to rapidly operationalize multimodal AI workflows enabled Curastory to automate campaign brief generation at scale, improve creator-to-brand alignment, and accelerate media operations across the platform. We continue to support the evolution of Curastory’s AI-powered infrastructure through scalable automation frameworks and workflow enhancements designed for long-term growth.
Ready for Real Transformation?
Change should feel practical and purposeful, led by people who care deeply about getting it right. Let’s make that change together.