Insights Hub

Why Insights Hub?

Insights Hub leverages AI analytics and manufacturing data to generate the insights needed to continuously improve production. It provides a suite of solutions dedicated to specific areas of optimization as well as the Insights Hub Production Copilot, simplifying the acquisition of insights and the execution of the required corrective actions:

Monitor the Overall Equipment Effectiveness, identify the business-relevant areas of improvement and the way to improve
Leverage AI-driven insights to predict and resolve specific inefficiencies hindering production availability, performance and quality
Optimize energy and resource consumption, achieving higher profitability and sustainability

Benefits of Insights Hub

AI-driven decision making for production optimization

Insights Hub leverages AI to extract knowledge from equipment and process data, providing a deep understanding of the production process. It generates the insights needed to continuously optimize and adapt the operations to evolving business objectives:

Availability

Lower unplanned downtime and maintenance costs result from a comprehensive, data-driven maintenance approach that uses predictive, preventive and corrective strategies depending on the criticality of your asset.

Quality

A higher quality rate is achieved by leveraging quality predictions and advanced analytics to detect and resolve non-conformities early, strongly reducing rework costs and optimizing QA effort.

Performance

Improvements in production throughput, cycle time, WiP, are enabled by simplified root cause analysis and the acquisition of actionable insights, driving the execution of the required corrective actions.

Sustainability

Reduced energy costs and carbon footprint are achieved thanks to predictions and data-driven insights to optimize operations, reducing consumption of energy and other resources while achieving production targets.

Uncover losses and improve OEE

Actionable insights from production analytics

Identify root causes across operations

Insights Hub OEE automatically measures Overall Equipment Effectiveness (OEE) of your lines, providing detailed insights into availability, performance, and quality, allowing you to track down their root causes in operations.

Optimize energy use, cut emissions

Energy and resources optimization

Detect and resolve conssumption issues

Gain visibility into energy and resource use, including scope 1 and 2 emissions. Insights Hub Energy Manager and Energy Optimizer uses machine learning to detect issues, enable peak shaving, and guide equipment shutdown schedule.

Optimize maintenance, boost uptime

Availability and maintenance operations

Leverage insights to improve maintenance

Drive end-to-end maintenance with Insights Hub Asset Health & Maintenance using equipment and process data. Enable teams to select predictive, preventive, or reactive strategies based on asset criticality. and optimize uptime.

Predict issues and cut defects

Real-time quality-rate optimization

Predict defects with machine learning

Detect non-conformances early with machine learning. Insights Hub Quality Prediction analyzes process data to reduce defect rates and rework costs, improve QA efficiency, and recommend parameter settings enabling higher quality.

Discover how others use Insights Hub

Rolls Royce | The digital transformation journey: building a vision for the future

With Insights Hub, Rolls Royce digitally transformed the way products are engineered and produced. They established a unified system, digital thread, which integrates data across departments and teams, enabling seamless collaboration, faster decision-making, and increased productivity.

Customer Quotes

Discover how Insights Hub empowers our customers to transform data into action, driving innovation and efficiency across industries.

BorgWarner Automotive

Insights Hub is used to monitor energy consumption at 63 locations within BorgWarner in 20 different countries

Arca Continental

Right now we have use cases in around the half of our manufacturing centers, but the expectation is to cover 100% of all our 45 manufacturing sites

Vorwerk Elektrowerke

We have 7500 data points called every 15 seconds and 500 machines connected, which leads to OEE improvement of around 3 to 5%

Clade Engineering

We engineer and design our products very much looking at the field data that we collect with Insights Hub to inform future designs and optimized designs for both material and energy efficiency

Envetech

We want to go beyond the traditional insights of the operation and performance of the machine and really look deeper into that data and maybe blend it with other information, to create fresh insights

TotalEnergies

We’re building a way to codify operational know-how—so proven diagnostic and decision practices become reusable capabilities we can scale across our hydrogen and bioCNG refueling stations worldwide

Recognized by Analysts

A Leader in AI-driven analytics

Gartner®

Leader's Quadrant of the 2025 Gartner® Magic Quadrant™ for Global Industrial IoT Platforms

IDC MarketScape

Industrial IoT Platforms and Applications Leader

Nucleus Research

Leader in the Industrial IoT Data Platform Value Matrix 2025

Learn more

Siemens presently named as the company to beat in manufacturing AI by Gartner as of 20 April 2026

April 20 2026

Why Insights Hub?