Yxir is a next-generation Quality Management System (QMS) powered by artificial intelligence, built specifically for industrial manufacturers aiming to enhance quality processes, reduce non-conformities, and drive continuous improvement. Designed for quality managers, production engineers, and digital transformation teams, Yxir is particularly suited to multi-site industrial operations across sectors such as aerospace, energy, nuclear, and mechanical manufacturing.

Unlike traditional QMS tools, Yxir centralizes quality data from all sources—non-conformities, audits, suppliers, action plans—and enhances it with AI to suggest improvements, reduce repetition of issues, and guide teams toward faster resolutions. Notably, customers report:

• 50% faster anomaly processing

• 30% fewer recurring non-conformities

• 15% fewer late deliveries

What are the key features of Yxir?

AI-enhanced non-conformance detection and resolution

Yxir’s core engine is trained on thousands of industrial scenarios, enabling it to identify, qualify, and categorize anomalies automatically. This eliminates the need for manual triage and reduces response times.

• Automatically detects similar causes and prevents recurrences.

• Provides guided descriptions for anomalies (who, what, where, how) to standardize reporting across all users, including field operators.

• Supports structured methods such as 5 Whys or 5M (Man, Machine, Material, Method, Measurement) analysis.

Centralized quality knowledge base

At the foundation of Yxir is a single, structured repository for all quality-related information. It replaces fragmented spreadsheets and site-specific tools with a shared digital backbone.

• Import and manage data on non-conformities, audits, suppliers, corrective actions, and more.

• Link and structure records based on your internal workflows and terminology.

• Use customized views to navigate the knowledge base easily across departments and locations.

Workflow automation for corrective actions

Yxir accelerates the transition from detection to resolution through collaborative action plans that are tracked and documented over time.

• Create, assign, and monitor action plans across teams and departments.

• Ensure accountability and traceability with detailed logs and update histories.

• Foster a culture of continuous improvement by closing the loop on every anomaly.

Cross-site reporting and benchmarking

For organizations operating across multiple plants or countries, Yxir delivers consolidated reporting tools that help identify discrepancies and harmonize practices.

• Compare quality performance between sites with real-time dashboards.

• Benchmark recurring issues and resolution efficiency across regions.

• Enable knowledge sharing between teams that historically worked in isolation.

Real-time quality analytics and decision support

Yxir turns quality data into a strategic decision-making asset. It enables managers to shift from reactive firefighting to proactive process improvement.

• Visualize trends in non-conformance data through an analytics dashboard.

• Access AI-generated insights for root cause prioritization and targeted recommendations.

• Align decision-making with measurable KPIs (OEE, lead times, delivery performance).

To summarize

Yxir helps industrial companies modernize their quality processes by providing:

• Faster resolution of non-conformities, reducing the burden on teams and cutting anomaly processing time in half.

• Smarter decision-making, supported by AI-driven root cause suggestions and historical analysis.

• Better knowledge retention, ensuring that lessons learned on one site are leveraged across the entire organization.

• Improved collaboration across departments and locations, with traceable workflows and shared dashboards.

• Operational scalability, with a SaaS platform designed for seamless integration into existing MES, ERP, and legacy QMS systems.

By embedding AI into every layer of quality management, Yxir enables manufacturers to not only fix problems—but to learn from them, anticipate them, and prevent them from happening again.