Machine Learning on AWS.
VeUP scoped, built, and operates production AWS engagements — the proof behind the AWS Machine Learning Competency. The 5 case studies below run 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.
Amazon EKS (GPU)
AWS Step Functions
Amazon RDS for PostgreSQLGoBubble
GoBubble migrates its full production estate from GCP to Amazon EKS with zero downtime
Amazon SageMaker
Bedrock AgentCore
S3 + Iceberg
Amazon AthenaSibros Technologies, Inc.
Sibros: a 75-billion-point/day SageMaker model + Bedrock AgentCore pipeline
Amazon Bedrock
AWS Lambda
Amazon RekognitionA global consumer social platform
Global social platform reaches 99.6% moderation accuracy on Amazon Bedrock
AWS Graviton
AWS Cost ExplorerWarburgAI
WarburgAI runs a GPU-heavy FinServ AI platform on AWS with VeUP managed billing
Amazon Kinesis Video StreamsAn Omani F&B distribution-prediction ML SaaS startup
VeUP designs a computer-vision inventory platform on AWS for an F&B ML startup
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