See It Work
See It Work
SYSTEM: OPERATIONAL OT/IT CONNECTORS: 150+ AUTONOMOUS OPERATION: 15+ DAYS GOVERNED AUTONOMY: ENFORCED AUDIT TRAIL: IMMUTABLE INDUSTRIES: ASSET-INTENSIVE & MISSION-CRITICAL DEPLOYMENT: 3-6 MONTHS VIA APEX CONTROL LOOPS: 3,400+ SYSTEM: OPERATIONAL OT/IT CONNECTORS: 150+ AUTONOMOUS OPERATION: 15+ DAYS GOVERNED AUTONOMY: ENFORCED AUDIT TRAIL: IMMUTABLE INDUSTRIES: ASSET-INTENSIVE & MISSION-CRITICAL DEPLOYMENT: 3-6 MONTHS VIA APEX CONTROL LOOPS: 3,400+

XMPRO ASSISTANT · INDUSTRIAL COPILOT

XMPro Assistant AI.

Your intelligent industrial copilot.

Generative AI for interactive, context-aware assistance and recommendations across industrial operations. A skilled advisor sitting alongside operators, engineers, and planners, grounded in your real-time operational data.

CONTEXT-AWARE COPILOT

An industrial copilot grounded in operational reality.

XMPro Assistant AI applies generative reasoning to live operational data, procedures, and engineering context. It explains, summarizes, and recommends in plain language, while staying grounded in the source records that operations teams already trust.

KEY FEATURES

What the assistant does.

F1 LIVE DATA

Live Data Insights

Processes real-time data from industrial sources to provide up-to-date insights for informed decisions. Continuous monitoring of operational parameters.

F2 ANALYSIS

AI-Powered Analysis

Generative AI analyzes complex industrial data and offers initial assessments and recommendations to support subject matter experts.

F3 NL QUERY

Natural Language Queries

Interact with operational data using conversational language. Easy access to insights for users at every level of technical expertise.

F4 CONTEXT

Context-Aware Recommendations

Considers historical data, current conditions, and business objectives. Provides tailored suggestions for process optimization in changing scenarios.

F5 LEARN

Interactive Learning

Improves its knowledge base through interactions with users. Continuously refines its understanding of industrial processes and terminology.

F6 COLLAB

Intelligent Collaboration

Goal-seeking suggestions based on communication feeds and real-time data. Avoids data silos, captures organizational knowledge in real time.

AI TOOLS AND TECHNIQUES

The generative AI stack inside the assistant.

XMPro Assistant AI blends four families of generative AI techniques, each tuned for a different kind of industrial reasoning.

T1 TECHNIQUE

Generative Adversarial Networks

Enhance anomaly detection, predictive maintenance, and process optimization through adversarial models competing for the best outcome.

T2 TECHNIQUE

Transformer Models

Advanced natural language understanding with bring-your-own-model support and context-aware insights across operations.

T3 TECHNIQUE

Text-to-Image Models

On-demand visuals and dashboards for clear, impactful data communication. Bring-your-own-model support for visual content generation.

T4 TECHNIQUE

Diffusion Models

Generate synthetic data, reconstruct signals, provide probabilistic forecasts, and enhance image processing for industrial analysis.

ENHANCING INDUSTRIAL OPERATIONS

An intelligent copilot for industrial operations, with an intuitive conversational interface.

Live operational data, prescriptive recommendations, and natural-language analysis brought together in a single assistant surface. Built for the constraints of operational technology environments.

APPLICATIONS

Where the assistant earns its keep.

A1 APPLICATION

Prescriptive Recommendations

Evidence-backed next-best actions for process optimization, ranked by impact and confidence and grounded in live operational data.

A2 APPLICATION

Knowledge Curation

Internal information curation and knowledge management. Captures expert know-how and makes it searchable across the operation.

A3 APPLICATION

Self-Service Analytics

Natural-language self-service analytics. Users describe what they want; the assistant builds the analysis on operational data.

A4 APPLICATION

Troubleshooting Support

Interactive troubleshooting and problem-solving. Guides operators through diagnostic flows grounded in current conditions.

A5 APPLICATION

Work Instruction Generation

Dynamic work instructions generated from live data, equipment context, and approved procedures, in the language operators use.

A6 APPLICATION

Scenario Modeling

Intelligent scenario modeling and simulation. Test plans against operational context before they reach the floor.

HOW IT WORKS

The assistant lifecycle.

From data ingestion to continuous learning, every step happens inside the same governed industrial AI environment.

01

Data Ingestion and Configuration

Continuously processes real-time data from industrial sources. Integrates with existing databases and knowledge management systems.

02

Query Interpretation

Interprets user queries using advanced natural language understanding. Contextualizes requests within the specific industrial domain.

03

AI-Powered Analysis

Applies generative AI models to analyze data and generate insights. Considers multiple scenarios and potential outcomes.

04

Response and Visualization

Formulates clear, concise, and actionable responses. Provides supporting data and visualizations where they help.

05

Continuous Learning

Improves through ongoing interactions and feedback. Adapts to changing industrial processes and user needs.

LIVE DEMO

See XMPro Assistant AI in action.

Ready to put a context-aware copilot to work?

Talk through where an industrial assistant fits your environment, or explore the broader agentic AI continuum.