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NASA Jet Engine Predictive Maintenance: Live AI Demo
Home➡NASA Jet Engine Predictive Maintenance: Live AI Demo

DEMO: RCA & Waste Reduction (Analysis)

Click any panel to explore detailed dashboards, parameter impact ranking, and root cause explanations.

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NASA Jet Engine Predictive Maintenance

Predictive Maintenance (case study summary)

As we cannot share our clients’ data, we built this interactive demo using NASA’s public jet engine dataset to showcase the real capabilities of our latest Cognitive Services in predictive maintenance.

Key Features

  • 97% Failure Prediction Accuracy
    See how our models reliably predict failures before they happen — with clear confidence scores.
  • Explainable Root Cause Analysis
    Instantly understand which sensors are driving risk with global and local explanations plus waterfall charts.
  • What-If Scenarios & Counterfactuals
    Test maintenance actions in advance and see exactly how they extend engine life.
  • Business Explainer in Dollars
    Turn technical predictions into clear cost comparisons, ROI, and strategic recommendations.
  • Industrial AI Agent
    Chat with your data — ask plain English questions and get instant dashboards, summaries, and answers.

Disclaimer:
This demo showcases only selected dashboards from our Cognitive Services. All visualizations can be fully customized to match your branding and needs. The solution integrates with industrial systems (MES, CMMS, SCADA, etc.) and can be extended with additional modules and features (i.e. AI Agent) as described in our case study and press release.

A complete Next-Gen AI solution for industry

Features

Cognitive Services - Key Features
  • Advanced Analytics
    For production optimization, waste elimination, predictive maintenance, and more.
  • Explainable AI (XAI)
    Clarifies why AI makes decisions, ensuring transparency.
  • Private AI
    Offering secure, on-premises Edge AI deployment with support for hybrid configurations.
  • Feature Engineering
    Enabling physics-aware data modeling for enhanced accuracy.
  • Root Cause Analytics
    Identifying and tracking the underlying causes of issues.
  • Seamless integration of data from various sources (IoT, SCADA, MES, CMMS, ERP, documents, and more), combined with human experience to create your Industrial AI Agent.

Serving industries such as Manufacturing, Automotive, Food Production, Energy & Utilities, Paper Mills, and more. 

Read More (Features)
Read More (Case Study, NASA Jet Engines)
Explore Case Studies (industrial, back office, other)
Industrial AI

Example Deployment

Industrial AI
Cognitive Services (deployment)
  • Predictive Maintenance
    Use real-time (IoT) and historical data (SCADA, MES, CMMS) to filter false alarms, predict equipment failures, reduce downtime, and improve maintenance planning.
  • Root Cause & Waste Analysis
    Analyze production data to identify causes of defects, inefficiencies, and waste—supporting faster problem-solving and continuous improvement.
  • Advanced Data Analytics
    Detect hidden patterns, trends, and anomalies across your operations to support evidence-based decisions.
  • AI Agents
    Trained on your manuals, specifications, and internal data. Interact with it like ChatGPT to process technical documents, assist with customer requests, and support daily operations.

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