Airo helps enterprises move from scattered legacy platforms to a single Databricks Lakehouse that is secure, governed, and ready for AI. Recognized by Forbes, the World Economic Forum, and honored four times by the Inc. 5000, we bring the Databricks and multi-cloud expertise you need to modernize fast, with confidence without interrupting business.
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, Microsoft Fabric, and Power BI with unified governance.
Automation, ready frameworks, and pre-built pipelines get you to insights faster.
Parallel migration keeps operations running while the new environment is validated.
Scale high-impact models across markets without losing accuracy or performance.
Co-build sessions and knowledge transfer ensure your teams own the platform.
Airo helps you achieve the cost savings (claimed to be 40-70% by Databricks) through optimized architecture and transparent tracking
Structured rollout or migration to Unity Catalog, with automated setup of objects, permissions, lineage, and governance.
Pre-built ingestion templates that standardize onboarding and reduce manual ETL work.
CI/CD pipelines, MLflow tracking, Feature Store integration, and reusable deployment patterns for reliable ML operations.
Modular frameworks for GenAI, RAG, and enterprise agents powered by governed Lakehouse data.
A Fortune 500 pharma company worked with Airo to modernize its clinical data platform on Databricks. Analysis cycles dropped from days to hours, R&D productivity increased by 30%, data management costs fell by 40%, and audit preparation time reduced by 60% thanks to a modern Lakehouse and stronger reporting.
A regional bank consolidated multiple warehouses into a Databricks Lakehouse with Airo. Data processing times reduced by 57%, enabling near real-time risk and fraud analytics, with automated governance improving regulatory readiness and cutting overall platform cost by 35%.
A large US healthcare provider moved from fragmented, siloed data to a multi-layer Databricks Lakehouse on Azure. Centralized, timely data and real-time reporting improved operational efficiency by 50% and supported better decision making in patient journeys.
A global manufacturer used Airo’s Databricks expertise to bring plant data together and power predictive maintenance and demand planning. Forecast accuracy improved by 38%, equipment uptime went up by 20%, and production cycles sped up by 30%, driving both savings and agility.
Global enterprise clients
Faster migration using Airo accelerators
Cloud savings modeled with FinOps best practices
Proven migration methodology
Databricks launch program with guaranteed value
