A collaborative workshop that brings Airo and your teams together to clarify TCO and ROI, assess your landscape, prioritize high-value workloads, refine POC-ready use cases, and align on a clear blueprint with scope and timelines.

Airo’s 4-Weeks program that proves value quickly with real workloads, clear ROI, and a Lakehouse foundation you can scale. You get 1–2 end-to-end use cases, Unity Catalog and Delta Lake setup, CI/CD pipelines, optimized data flows, a value dashboard, and a 30–60–90 day roadmap.

Define the Databricks vision, modernization roadmap, reference architecture, and prioritization model.

Operationalize machine learning with MLflow, Feature Store, CI/CD, observability, and reusable MLOps templates.

Design and deploy streaming ingestion, processing, Delta Live Tables, and event-driven architectures for time-sensitive workloads.

Design and build the Databricks Lakehouse (ingestion layers, Delta architecture, Unity Catalog base setup) in weeks.

Implement Unity Catalog, RBAC, lineage, data quality rules, and cost-optimized cluster/DBU management.

Seamless Databricks deployments across Azure, AWS, GCP, Fabric, and Power BI with unified governance.