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AWS SageMaker & AI Services

End-to-end ML lifecycle on AWS — from training to production monitoring.

Revino uses AWS SageMaker as the primary MLOps platform for enterprise AI deployments — handling the full lifecycle from data preparation and model training through deployment, A/B testing, and automated retraining on AWS infrastructure.

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What Revino Does With AWS SageMaker & AI Services

SageMaker Model Registry and CI/CD for ML
Feature Store for enterprise ML feature sharing
Real-time and batch inference at any scale
SageMaker Clarify for model explainability and bias detection
Automated model monitoring and drift detection

Where Revino Deploys AWS SageMaker & AI Services

Fraud detection model deployment with <50ms latency
Demand forecasting for retail and FMCG
Credit risk models in banking
Computer vision deployment for manufacturing
NLP models for document classification
INDUSTRIES WE SERVE WITH THIS SOLUTION
Banking & Financial ServicesInsuranceHealthcare & Life SciencesRetail & FMCGManufacturing & Industry 4.0Pharmaceuticals & Biotech
See how this service solves specific problems in each industry. Browse all industries →
KEY INTEGRATIONS
AWS LambdaS3RDSGlueKinesisRedshiftSageMaker Pipelines
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