A purpose-built AI assistant that brings conversational access to your SCADA data. Query well performance, surface anomalies, investigate alarms, and get structured explanations of operational conditions — currently in development.
SCADA systems generate continuous streams of operational data — pressures, temperatures, flow rates, alarm events, and status indicators across every asset in your field. But getting answers from that data requires specialized expertise, direct access to historian systems, and the ability to interpret raw telemetry in context.
Most operations teams cannot self-serve. Questions go to a small group of subject matter experts, creating bottlenecks that slow down decisions and limit visibility across the organization.
Simple operational questions require routing through SMEs who are already overloaded. Response times measured in hours or days, not minutes.
Querying historian data requires knowledge of proprietary interfaces, tag naming conventions, and domain-specific context that most team members lack.
Critical operational insights are locked inside historian systems with complex query interfaces that only a handful of people can navigate effectively.
Scout provides a conversational interface for operations teams — allowing anyone with the right permissions to ask questions about well performance, alarms, and field conditions in natural language, and receive structured, contextual answers grounded in live SCADA data.
Instead of navigating historian interfaces or waiting for an SME to pull a report, field operators, production engineers, and managers can ask questions directly and get answers in seconds.
Scout is being built with direct input from oil and gas operations teams. These are the core capabilities currently in development.
Ask questions about pressures, temperatures, flow rates, and equipment status in plain language. Scout translates to historian queries and returns structured answers.
Track production trends, identify underperforming wells, and surface anomalies across your field. Proactive alerts when operational parameters deviate from expected ranges.
Investigate alarm events with full context — what triggered it, what conditions preceded it, and whether similar patterns have occurred before. Reduce alarm fatigue with contextual explanations.
Generate shift reports, daily production summaries, and field-wide status overviews automatically from live SCADA data. Structured, consistent, and always up to date.
Built specifically for oil and gas data environments — understands well naming conventions, production terminology, common SCADA tag structures, and industry-specific operational patterns.
We are working with operations teams to shape the product. If you work in oil and gas and want to help define what conversational SCADA access looks like, we would like to hear from you.