Energy and Manufacturing companies depend on mission-critical systems that often span decades—ERP platforms, historians, SCADA systems, plant applications, on-prem data warehouses, and aging reporting environments.
As operations scale and real-time demands increase, these legacy systems limit analytics, slow down AI adoption, and create bottlenecks across the business.
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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The Frame Difference – Engineering Data for Real Operations
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.
Designed for High-Volume, High-Complexity Operations
We understand the unique challenges of migrating data from production environments where downtime, safety, and continuity matter.
Cloud-Agnostic, Future-Proof Architecture
Whether you’re modernizing on Azure, AWS, GCP, or Databricks, Frame ensures flexibility and avoids vendor lock-in.
Deep OT/IT Integration Expertise
We specialize in unifying plant systems, historians, maintenance systems, supply chain data, IoT/edge telemetry, and enterprise applications.
Accelerated Delivery with Industrial-Grade Precision
Our modernization accelerators eliminate risk, compress timelines, and ensure clean, governed, AI-ready data from day one.
Modernize your data foundation without disrupting operations