C1 REAL-TIME
Real-Time Intelligence
AI algorithms process live data streams continuously, providing immediate insights and enabling instant actions based on real-time analysis.
XMPRO AUTOMATIONS · EMBEDDED AI
XMPro Automations AI.
Embedded AI for industry.
Embedded AI analyzes real-time data to extract insights, make predictions, and optimize processes. Applied across quality control, defect detection, predictive maintenance, and demand forecasting for industrial operations.
AI inside the operational pipeline, not bolted on top.
XMPro Automations AI embeds machine learning and analytical AI directly into the data pipelines that run industrial operations. Real-time insights, predictions, and optimizations are produced inside the same environment that already moves operational data.
The modern framing for this capability is agentic operations. For the current product page, see Agentic AI →
What embedded AI brings to industrial pipelines.
C2 INTEGRATION
Seamless Integration
Embed AI into existing workflows and systems. No separate platform required. Minimal disruption to current operations.
C3 DECISIONS
Automated Decision-Making
Algorithms analyze complex data and make or suggest decisions based on predefined criteria, reducing the need for human intervention in routine tasks.
C4 ADAPT
Adaptive Learning
AI systems improve performance over time, adapting to changes in processes and environmental conditions, continuously refining models on new data.
C5 SCALE
Scalable Implementation
Start with a focused AI application and expand capabilities across the organization. Flexible architecture allows for easy scaling.
C6 DATA
Data Processing
Real-time data ingestion from multiple sources, transformation and feature engineering, alert generation, and system integration in one pipeline.
A toolkit tuned for industrial data.
XMPro Automations AI provides a library of AI and machine learning techniques selected for industrial operations.
T1 TECHNIQUE
Predictive Analytics
Regression analysis and time series forecasting for asset failures, energy demand, and quality deviations.
T2 TECHNIQUE
Classification Models
Decision trees and support vector machines for fault classification and quality assessment.
T3 TECHNIQUE
Clustering Algorithms
K-means and hierarchical clustering for operational segmentation and anomaly grouping.
T4 TECHNIQUE
Anomaly Detection
Identification of outliers and unusual patterns in real-time sensor and process data.
T5 TECHNIQUE
NLP Text Analytics
Natural language processing across procedures, work orders, and unstructured operational text.
T6 TECHNIQUE
Computer Vision
Image processing and object detection for visual quality control and operational monitoring.
AI-powered automation, designed visually.
At the heart of XMPro Automations AI is the Data Stream Designer. A visual environment for assembling AI-driven data pipelines from connectors, transforms, models, and actions. No coding required to put AI into a working operational loop.
What the Data Stream Designer gives you.
D1 FEATURE
Drag-and-Drop Interface
Intuitive visual interface for creating complex data flows. No coding required, making AI accessible to non-technical users.
D2 FEATURE
Real-Time Data Processing
Design pipelines that ingest and process data in real time. Immediate insights and actions from live data streams.
D3 FEATURE
Pre-built AI Tools
Library of AI and machine learning components ready for use. Prediction, classification, anomaly detection, and more.
D4 FEATURE
Customizable Workflows
Combine AI tools with other data processing steps to create tailored workflows specific to your operational needs.
D5 FEATURE
Integration Capabilities
Connect to SCADA, IoT, ERP, and historian systems. Seamless integration with existing operational infrastructure.
D6 FEATURE
Extensive Agent Library
150+ specialized industrial agents and integrations. Build your own integrations or request a new agent for your stack.
From data source to deployed automation.
Five steps inside the same visual environment, from raw operational data to a deployed and monitored AI pipeline.
01
Data Ingestion and Configuration
Drag data source components onto the canvas. Configure connections to IoT devices, databases, historians, and APIs.
02
Preprocessing and Sanitization
Add components for data cleaning, transformation, and feature engineering. Prepare data for optimal AI processing.
03
AI Stream Processing
Drag AI tools from the library onto the data stream. Configure parameters and models based on requirements.
04
Post-Processing and Actions
Add components for further data manipulation or triggering actions. Set up alerts, notifications, and system integrations.
05
Deployment and Monitoring
Deploy pipelines into production. Monitor performance, data quality, and outcomes in the same environment.
Predictive maintenance pipeline.
Walk through a predictive maintenance pipeline built in the Data Stream Designer, end to end.
Embedded AI is part of the agentic operations stack.
Automations AI capabilities now live inside the broader XMPro agentic operations stack, where AI-driven data pipelines feed agents that observe, decide, and act under governance.
Ready to embed AI into your industrial pipelines?
Talk through where AI-driven automations fit your environment, or explore the broader agentic AI continuum.
