Distributed orchestration hides complexity — unify visibility & control

Many enterprises — particularly data engineering, platform, SRE and MLOps teams at mid-to-large companies — now run hybrid clouds and polyglot pipelines (Airflow, Prefect, Dagster and others) and suffer from fragmented visibility, weak cross-system coordination, and slow root-cause resolution across engines. The result is duplicated operational effort, missed SLAs, and elevated risk when feature and model pipelines cross orchestrators; this is a problem for a global addressable set of roughly 500,000 enterprises (market estimate used here) and sits in a $12.0B market ($24K ACV per enterprise on average). You could build a distributed orchestration and neutral visibility layer that ingests metadata and events via lightweight adapters, provides unified lineage, SLA/SLO tracking, cross-orchestrator run control, and a single API/console for policy and remediation. Architecturally this is an agent-plus-control-plane model designed for low-friction integration with Airflow/Prefect/Dagster and cloud-managed schedulers, with an open API and prebuilt connectors so teams can prove value within weeks rather than months. This market is attractive now because hybrid-cloud adoption, rising ML pipelines, and a stronger emphasis on data observability are driving willingness to pay for reliability tooling; your internal scoring puts the market at 95/100 with 90/100 revenue potential. The opportunity is realistic but not trivial: competition is medium with incumbents in observability and orchestration, integration complexity is non-trivial, and customers will be sensitive to any new control plane that looks like lock‑in. To stand out, prioritize vendor neutrality, demonstrable ROI (reduced MTTR and SLA improvements), easy installers/adapters, and partnerships with existing orchestrator vendors and cloud providers to lower adoption friction.