CT-Passport – AI/ML Platform Modernization & Migration

**Modernize legacy AI/ML platforms and establish standardized AI operations with CT-Passport from Celebal Technologies. **

CT-Passport is an AI/ML platform modernization and migration framework designed to help enterprises address fragmented data science environments, legacy machine learning systems, and complex operational workflows. It supports the consolidation and modernization of AI/ML workloads on AWS, helping teams move toward a more standardized approach to model development, deployment, monitoring, and lifecycle management.

**Modernize models, code, and data pipelines **

CT-Passport's migration methodology covers discovery and assessment, data migration, model migration, deployment migration, and operational setup. The approach includes code refactoring and conversion, migration of training and validation datasets, data-source repointing, ETL and data pipeline migration, model registry integration, and migration of model endpoints and batch or streaming inference workflows.

**Standardize MLOps and model lifecycle management **

CT-Passport supports the establishment of repeatable machine learning workflows, including model training, evaluation, registration, versioning, deployment, and monitoring. Its architecture illustrates the use of Amazon SageMaker, SageMaker Pipelines, SageMaker Model Registry, Amazon S3, AWS CodeBuild, AWS Lambda, Amazon EventBridge, and AWS CloudFormation for model development and deployment workflows.

**Improve AI observability and governance **

The framework's observability approach covers request tracing, latency monitoring, retrieval analysis for retrieval-augmented generation (RAG) systems, prompt management, usage monitoring, and responsible AI considerations. The deck also outlines model and experiment tracking, logging, metrics, governance, IAM policies, and audit management as part of a standardized AI/ML operating approach.

**Support a structured modernization journey **

CT-Passport follows a tool-powered migration methodology that brings together stakeholder assessment, architectural design, framework curation, model pipeline ingestion, and deployment planning. This approach helps teams address challenges such as code conversion, model benchmark reconciliation, inference pipeline optimization, automation, and technical and business stakeholder change management.

CT-Passport can support organizations seeking to consolidate fragmented AI/ML platforms, modernize legacy machine learning workloads, and establish repeatable AI operations on AWS. The implementation approach and target architecture can be aligned to the customer's existing environment, migration requirements, and selected AWS services. Celebal Technologies provides the implementation expertise to help customers plan and execute their AI/ML modernization initiatives on AWS.