How we've helped customers put AI into production across financial services, media, aviation, and consumer brands.
Overview
From campaign personalization to customer-cloud systems, each case says what was built, where it runs, and how far it went.
Customer work across campaign, rollout, and production.
Case studies with scope labels, reading guides, and disclosure boundaries.
Cases that show customer AWS or managed delivery.
Cases currently in rollout or production.
Featured customer work with clear scope labels and public references.
QuickQR.Art demonstrated product-scale AI deployment with 1.5M+ users, proving the team can build and operate consumer-grade generative AI systems.
Public references
AgenticFlow runs Pixel ML's own operations as the company's SaaS product. This case is internal product proof, not evidence for Composer or Sentinel customer workflows.
Public references
Pixel ML helped Vinasoy deliver 300,000+ personalized Tet video greetings. Consumers wrote a message, selected an approved persona, and received a shareable AI video through a moderated, brand-controlled workflow.
Public references
Pixel ML helped Enfagrow deliver 10,000+ personalized AI experiences for mothers in Vietnam. The workflow collected structured inputs, generated a tailored output, and kept the experience inside brand-approved messaging boundaries.
Public references
Pixel ML supported a regulated financial-services customer with a customer-controlled AgenticFlow deployment for governed customer engagement. The case is anonymized and focuses on the workflow pattern: preparation, assisted content generation, validation gates, and human review inside the customer's approved cloud environment.
Public references
