Astro's Remote Execution separates orchestration from execution. The managed control plane never touches sensitive data, models, or compute. Workflows run where your policies dictate—on-prem, in private cloud, or in regulated public cloud environments—ensuring privacy, data sovereignty, and zero-trust alignment.

Astro orchestrates the full AI lifecycle from data prep, training, retraining, and inference, across cloud or on-prem GPU clusters. With event-driven scheduling, parallel execution, and the Airflow AI SDK, teams can reliably operationalize both traditional ML and generative AI workflows.

Financial institutions replacing legacy schedulers with Astro typically cut orchestration costs by up to 75%, reduce downtime, and accelerate delivery of new data products. The cloud-native, hybrid-ready platform provides agility and resilience without compromising compliance or control.

Astro Observe ties data quality checks directly to pipeline execution, making issues traceable to specific tasks. Combined with lineage tracking, audit logs, and RBAC, this ensures trustworthy data for regulatory reporting, analytics, and AI initiatives.

Astro unifies data from core banking, trading, and CRM platforms into governed pipelines with full lineage and audit trails. This ensures consistent, accurate reporting that meets regulatory requirements across jurisdictions.