Make performance visible. Improve it continuously.
Improving asset performance starts with visibility into how equipment is actually operating. This solution enables organizations to monitor availability, performance, and efficiency using standardized OEE metrics and real-time operational data.
Frame delivers the solution through analytics, data engineering, and AI services that support continuous performance monitoring and optimization.
Manufacturing and industrial operations struggle to understand the true drivers of performance loss due to fragmented production, quality, and downtime data. Without a unified view of OEE, leaders lack the insight needed to reduce cycle-time losses, eliminate bottlenecks, and improve asset utilization.
Production, quality, and downtime data are spread across SCADA, MES, PLCs, and operator logs.
Limited visibility into micro-stoppages, slow cycles, and chronic performance losses.
Inconsistent OEE calculations across plants or production lines.
Reactive responses to production issues instead of predictive root-cause identification.
Inability to benchmark asset or line performance across facilities.
Frame delivers an OEE intelligence platform that unifies operational data into a centralized lakehouse and provides real-time visibility into performance, availability, and quality. The solution equips operations teams with automated OEE calculation, root-cause analytics, and AI-driven recommendations to maximize throughput and reduce losses.
Unified ingestion of SCADA, MES, PLC, and quality data into a Databricks lakehouse.
Automated OEE calculation across availability, performance, and quality dimensions.
Real-time dashboards highlighting bottlenecks, micro-stoppages, and throughput constraints.
AI-driven insights to identify chronic downtime patterns and inefficiencies.
Cross-site benchmarking to standardize OEE measurement and prioritize improvement actions.
Organizations that adopt predictive maintenance gain earlier visibility into degradation trends, reduce downtime, optimize maintenance planning, and improve asset reliability. The shift to predictive operations drives measurable savings and enhances safety.
Increased production throughput through elimination of hidden losses.
Reduction in micro-stoppages and slow-cycle events via targeted root-cause insights.
Standardized OEE reporting across sites for consistent operational decision-making.
Enhanced operator and supervisor visibility into real-time performance trends.
A scalable digital foundation enabling future AI and automation investments.
Our Approach – Minimize risks and maximize return.
Frame delivers with confidence through proven, repeatable methods that reduce cost overruns, project delays, and operational uncertainty. Our AI-enhanced delivery model helps to ensure consistent execution across cloud-native, analytics-driven architectures—while hyper-local teams and nearshore scale drive efficiency without compromising quality. Frame’s prebuilt accelerators, reusable IP, and tight feedback loops fast-track speed-to-value while maintaining full transparency and shared accountability every step of the way.
Discover & Design
Start with business goals, identify the right opportunities, define the value and chart a clear plan.
Build & Modernize
Extend and modernize your data and architecture with scalable platforms and secure pipelines while complimenting your existing systems.
Scale & Evolve
Scale high-impact AI use cases, establish sustainable governance, and evolve with frameworks that support agility, adoption, and long-term value.
Value Delivery
We don’t just modernize—we deliver outcomes you can measure: faster cycles, smarter operations, and durable solutions that evolve with change.
