Frame’s Data Migration & Modernization services give organizations a safe, efficient, and proven path to move from fragmented legacy infrastructure to modern, cloud-native data platforms powered by Azure, AWS, GCP, and Databricks Lakehouse.

We help clients migrate essential workloads, unify Operational Data Streams, and build modern data foundations engineered for analytics, automation, and AI.

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Frame helps organizations replace fragmented, legacy data environments with a modern, unified, cloud-native data ecosystem. By breaking down silos and making high-velocity operational data accessible, clients enable real-time analytics, intelligent automation, and a scalable foundation for machine learning and GenAI.

Modernization efforts are anchored in measurable outcomes—faster analytics, reduced downtime, lower operational costs, improved workforce productivity, and enterprise-wide AI readiness—turning legacy complexity into a streamlined platform for insight, innovation, and industrial AI.

We understand the unique challenges of migrating data from production environments where downtime, safety, and continuity matter.

Whether you’re modernizing on Azure, AWS, GCP, or Databricks, Frame ensures flexibility and avoids vendor lock-in.

We specialize in unifying plant systems, historians, maintenance systems, supply chain data, IoT/edge telemetry, and enterprise applications.

Our modernization accelerators eliminate risk, compress timelines, and ensure clean, governed, AI-ready data from day one.

Frame modernizes data platforms for Energy and Manufacturing organizations operating complex, high-volume, and safety-critical environments.

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Frame modernizes data platforms for Energy and Manufacturing organizations operating complex, high-volume, and safety-critical environments.

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