Turn Industrial Data into Real-Time Insight, Operational Automation, and Intelligent Action
Energy & Industrial operations run on thousands of decisions every day — from maintaining critical assets to optimizing throughput, managing safety risk, and balancing production against market demand.
But traditional BI and dashboards alone cannot keep pace with dynamic, high-risk, and asset-intensive environments.
Frame’s Analytics & Agentic Activation services help organizations evolve from static reporting to real-time intelligence and autonomous assistance. We combine modern analytics engineering, semantic modeling, natural-language insights, and agentic automation to ensure data not only informs decisions — it drives them.
Built for Azure, AWS, GCP, and Databricks, our approach brings intelligence directly into field operations, control rooms, supply chain centers, maintenance teams, and executive decision cycles.
This allows us to provide our clients:
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Industrial Analytics That Reflect the Real World
We deliver analytics capabilities designed for operations where uptime, safety, and efficiency matter most:
Unified production, maintenance, and reliability analytics
Real-time operational KPIs from sensors, historians, SCADA, and OT systems
Forecasts and anomaly detection for refining, chemical, and utility networks
Integrated financial and operational insights to support better planning and capital decisions
Analytics becomes a living system — always current, contextual, and connected to action.
Agentic AI for Action, Not Just Insight
Frame builds AI agents that take analytics a step further by:
Automating repetitive decisions and workflows
Summarizing and interpreting operational telemetry
Triggering maintenance, inspection, or safety workflows
Guiding frontline workers with step-by-step recommendations
Translating natural-language prompts into queries, insights, or actions
These agents work across enterprise systems, combining logic, LLM reasoning, and real-time data to reduce manual load and increase operational responsiveness.Compatible with Azure OpenAI, AWS Bedrock, GCP Vertex AI, and Databricks Mosaic AI.
Operational Decision Support for the Energy Workforce
We equip field technicians, engineers, planners, and controllers with:
Natural-language interfaces to operational data
Real-time exception alerts and root-cause summaries
Predictive insights embedded into day-to-day workflows
Automated recommendations based on historical and current operating conditions
The result: A more informed workforce that makes faster, safer, and higher-quality decisions.re resilient.
The Frame Difference – Analytics Built for Action
Frame helps organizations replace slow, report-driven processes with continuous intelligence and AI-driven action. By enabling earlier issue detection, automated escalation, and real-time decision support, clients see fewer unplanned outages, higher throughput, and improved safety.
Manual analysis and routine tasks are reduced, while unified insights across assets and operations drive better utilization and more resilient performance—allowing teams to stay ahead of problems instead of reacting to them.
Activate analytics that drive real operational outcomes.