Capability Overview

MLOps enables continuous delivery and observability of machine learning models. Caelus operationalizes production AI with modular tooling, automation and governance.

Operational Pillars

• Data & feature pipeline orchestration
• Model packaging & environment reproducibility
• Continuous training & deployment automation
• Runtime performance & drift monitoring
• Experiment lineage & governance controls
• Cost & latency optimization loops

Value Outcomes