Featured case studies
Customer work across archive-to-output workflows, investigation workflows, and customer-deployed enterprise systems.
VinasoyAgentic AI
Vinasoy — Hyper-Personalized Customer Engagement via Agentic AI at 300,000+ Scale on AWS
Pixel ML's Agentic AI customer-engagement platform delivered 300,000+ uniquely personalized 1:1 AI video greetings for Vinasoy's Tet 2025 program in Vietnam. Each consumer received a one-to-one personalized video produced by an agentic workflow on Amazon Bedrock, SageMaker, EC2 GPU, S3, and CloudFront, with Generative AI (TTS + lip-sync) used as one tool inside the agent chain.
- Proof source
- Customer-approved production case
- Scope
- Production deployment, live on AWS, 300,000+ uniquely personalized customer outputs delivered
EnfagrowAgentic AI
Enfagrow — Hyper-Personalized 1:1 Customer Engagement via Agentic AI on AWS
Pixel ML's Agentic AI customer-engagement platform delivered 10,000+ uniquely personalized 1:1 customer interactions for Enfagrow / Mead Johnson Nutrition Vietnam. Each mother received a one-to-one AI-generated experience produced by an agentic workflow on Amazon Bedrock, SageMaker, EC2 GPU, S3, and CloudFront, with CRM signal capture on every interaction.
- Proof source
- Customer-approved production case
- Scope
- Production deployment, live on AWS, 10,000+ uniquely personalized customer outputs delivered
CardXAgentic AI
CardX (SCB X Group) — Hyper-Personalized Customer Engagement via Agentic AI in Production on AWS
Pixel ML's Agentic AI customer-engagement platform is deployed in CardX's own AWS environment, in production for hyper-personalized next-best-offer marketing across 16 customer segments and 20+ rate/fee combinations under regulated risk constraints. AgenticFlow on Amazon EKS coordinates segmentation, decisioning, content variant generation, compliance validation, and reviewer agents on Bedrock, SageMaker, S3, Glue, Lambda, KMS, and CloudTrail.
- Proof source
- Customer-deployed AWS production case with public corroboration
- Scope
- Production deployment in customer's AWS environment, live since October 2025
GMA NetworkAgentic AI
GMA Network — Hyper-Personalized Editorial Engagement via Agentic AI in Customer AWS
Pixel ML's Agentic AI customer-engagement platform is deployed inside GMA Network's own AWS environment, in production for hyper-personalized editorial workflows. AgenticFlow on Amazon EKS coordinates ingest, audio (Tagalog ASR), vision, search (OpenSearch), reframe, highlights, and orchestrator agents on Bedrock, SageMaker, EC2 G6e GPU, S3, DynamoDB, Lambda, EventBridge, and CloudWatch — Generative AI is used as one tool inside the agentic workflow.
- Proof source
- Customer-approved production case in customer-controlled AWS
- Scope
- Production deployment in customer's AWS environment, live and processing editorial workloads
APAC Aviation GroupAgentic AI
APAC Aviation Group — Investigation Workflow Deployed in Customer AWS
A major APAC aviation group deployed customer-hosted search, summarization, and investigation workflows in its own AWS environment.
- Proof source
- Anonymized customer case
- Scope
- Customer-hosted phased rollout