Predictive Quality

Quality is no longer inspected – it’s predicted with AI.

With Predictive Quality, product quality is proactively secured. Production data is intelligently analyzed, errors are automatically detected and corrected early – all while ensuring 100% digital traceability for every part.

Features

• Flexible Algorithm & Method Variety: Supports all relevant methods like SPC, Classification, Forecasting, and Anomaly Detection – combinable based on your specific needs.
• Automated Error Analysis with XAI: Errors are automatically detected and explained – leveraging AI-driven analytics for maximum transparency.
• Drift Detection & Metric Variety: Subtle data changes are identified early – with a wide range of evaluation metrics to ensure accuracy.
• Data Lakehouse for All Data Formats: SPS, sensor, measurement, and third-party data (e.g., from ERP or CAQ) are centralized, processed, and operationalized.
• High-Frequency Data Processing: Digital signal processing (e.g., FFT, Wavelet) is applied for precise feature engineering of high-frequency data.
• Digital Quality Fingerprint: A complete quality profile is automatically generated for each part – ensuring 100% inspection instead of sampling.

Unique Selling Points

• Largest Algorithmic Base on the Market: Supports and combines all relevant Predictive Quality approaches with maximum flexibility.
• SPC & Six Sigma Reimagined: Established methods are seamlessly integrated into a scalable AI infrastructure – enhanced with Big Data and AI for greater precision, automation, and impact.
• Complete Data Transparency: All production-relevant data is integrated, enriched, and contextualized for deeper insights.
• Actionable AI Insights: Results are provided via REST API and can be directly fed back into production for real-time use. Alternatively, AI models can also be deployed "on-edge."
• Transparent Decision-Making with XAI: AI outcomes are explained in a comprehensible way – ensuring full transparency for technical teams, quality management, and executives.
• Scalable Platform Architecture: The solution grows with your needs – from pilot applications with a single plant to enterprise-wide rollouts.

Predictive Quality – Key Benefits at a Glance

• Sustainably Reduce Scrap: Errors are detected before they occur – through early predictions and targeted actions.
• Automate Quality Processes: Manual error analysis is significantly accelerated and enhanced with AI-driven support.
• Complete Part Inspection: Each part receives a unique quality profile – ensuring full traceability.
• Make Production Data Actionable: Data from various sources is centralized and made usable – empowering informed decision-making.
• Stabilize Production Processes: Continuous monitoring and intelligent interventions ensure process stability.
• Meet Standards & Regulations: Full traceability supports OEM requirements and regulatory compliance – reliably and future-proof.