Build a control plane that connects existing data, training, CI/CD, model registry, serving, and observability systems into one managed workflow. The tool would provide reusable pipeline templates, automated validation gates, model/version tracking, deployment orchestration, evaluation dashboards, and drift monitoring for production AI/ML^? systems.

Multiple companies across security, real estate, logistics, AI platforms, consumer devices, and enterprise software are explicitly hiring for end-to-end MLOps ownership. Production AI adoption is increasing the need for standardized lifecycle tooling rather than bespoke internal pipelines.