AWS Advanced Tier Services Partner (Differentiated) · Anthropic Partner · OpenAI Partner
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.
5 production case studiesSubmission-readyProduction, not proofs of concept
Case studies
Each engagement was scoped, delivered, and handed over by VeUP under the AWS Machine Learning Competency delivery model.
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Amazon EKS (GPU)Snowflake on AWSAWS Step FunctionsAmazon RDS for PostgreSQL
Amazon EKS (GPU)
AWS Step Functions
Amazon RDS for PostgreSQLMachine Learning Applications · GPU ML Inference Platform
GoBubble
GoBubble migrates 21 workloads from GCP to Amazon EKS with zero downtime
Zero-downtime GCP-to-AWS migration of 21 workloads · production ML inference on dedicated EKS GPU node groups · $381,248/yr projected AWS run-rate (AWS Pricing Calculator)
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Amazon SageMakerBedrock AgentCoreS3 + IcebergAmazon Athena
Amazon SageMaker
Bedrock AgentCore
S3 + Iceberg
Amazon AthenaMachine Learning Applications · Connected-Vehicle ML
Sibros Technologies, Inc.
Sibros: a 75-billion-point/day SageMaker model + Bedrock AgentCore pipeline
74% production accuracy vs a >70% bar · R² lifted 54% → 80%+ under strict GroupKFold · shipped in a 3-week build, customer-independent since March 2026
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Amazon BedrockAWS Step FunctionsAWS LambdaAmazon Rekognition
Amazon Bedrock
AWS Lambda
Amazon RekognitionMachine Learning Applications · Multimodal Content Moderation
A global consumer social platform
Global social platform reaches 99.6% moderation accuracy on Amazon Bedrock
54% → 99.58% NSFW accuracy with no fine-tuning · ~$1 per 1,000 images · 11/11 SOW acceptance criteria passed
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Amazon SageMakerCapacity Blocks for MLAWS GravitonAWS Cost Explorer
AWS Graviton
AWS Cost ExplorerMachine Learning Competency · FinServ AI/ML + FinOps
A Middle East financial-services AI firm
WarburgAI migrates a GPU-heavy FinServ AI workload to Amazon SageMaker
FinServ AI workload migrated cloud->AWS to production · GPU cost engineered down via Capacity Blocks for ML + Graviton · scoped multi-account FinOps with CUR visibility
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Amazon Kinesis Video StreamsAmazon RekognitionAmazon SageMakerAmazon Bedrock
Amazon Kinesis Video StreamsMachine Learning · Computer Vision / ML Design
An Omani F&B distribution-prediction ML SaaS startup
VeUP designs a computer-vision inventory platform on AWS for an F&B ML startup
Full real-time computer-vision inventory + predictive-analytics platform design and costed AWS POC for an F&B ML SaaS startup (design/POC reference — not production-launched)
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Partnership credentials
AWS Competencies held
Generative AI · Agentic AI · Cloud Operations — as an AWS Advanced Tier Services Partner (Differentiated).
Anthropic Partner
Our Frontier Deployed Engineers ship Claude in production for customers — four live Claude engagements on Amazon Bedrock.
Production, not proofs of concept
Every case study is a workload running in production. We build what we promise.