Malt automates UGC validation & face detection with API-first DAM

Onboarding speed is critical for Malt, with thousands of freelancers signing up each week. Every new profile requires a clear and valid photo before going live, yet this step relied entirely on manual review. Teams had to confirm that each uploaded picture showed a usable face, which quickly became a bottleneck. As volumes grew, validation consumed valuable time, delayed profile activation, and frustrated both freelancers and internal teams.

Malt adopted Scaleflex's Headless DAM to centralize media storage and automate UGC validation. The API-first architecture integrated smoothly into the registration flow without adding complexity. Instead of manual checks, Malt now uses Visual AI to detect human faces, reject invalid images, and validate compliant uploads in real time. Freelancers upload their picture through the Scaleflex Media Asset Widget, while workflows run instantly in the background. Malt also migrated from its previous provider to Scaleflex VXP, reducing costs and gaining access to a scalable platform with machine learning–powered features.

With Scaleflex, Malt eliminated its onboarding bottlenecks and created a smoother freelancer journey. Photo validation happens instantly, allowing new profiles to go live without delay. Internal teams no longer spend time reviewing images manually and can focus on higher-value tasks. The shift from a legacy DAM to Scaleflex's API-first platform reduced infrastructure costs by 20% and gave Malt access to a flexible, scalable environment that supports rapid growth. By automating UGC validation and integrating Visual AI, Malt now manages high sign-up volumes with ease while delivering a faster and more intuitive experience to freelancers across Europe.