Machine Learning on AWS.
VeUP scoped, built, and operates production AWS engagements submitted as evidence for the AWS Machine Learning Competency. The 5 case studies below are AWS Partner-Funded customer engagements running in production today — public references are named; the remainder are shown as AWS-validated anonymized engagements.
Case studies
Each engagement was scoped, delivered, and handed over by VeUP under the AWS Machine Learning Competency delivery model.
An Emotional-AI moderation SaaS platform
GPU-optimized Amazon EKS ML inference platform for Emotional-AI SaaS, migrated from GCP
Sibros Technologies, Inc.
Production predictive ML on Amazon SageMaker + Bedrock AgentCore for connected-vehicle telemetry at 75B points/day
A global consumer social platform
Production multimodal content-moderation agent on Amazon Bedrock for a global social platform
A Middle East financial-services AI firm
Migrating a GPU-heavy financial-services AI workload to Amazon SageMaker, cost-engineered
An Omani F&B distribution-prediction ML SaaS startup
VeUP designs a computer-vision inventory platform on AWS for an F&B ML startup