QDES Product Suite

Ready-to-use AI applications for operational teams

Built for manufacturing, quality, and project professionals — not data scientists.

PM-AI project management dashboard showing reporting, risk tracking, and planning workspace
PM-AI project management app logoProject Management

PM-AI

Designed for: Project Managers, PMO teams

Automate reporting, surface risks early, and keep projects on track with intelligent project management.

  • ✓Automate status reporting and project summaries
  • ✓Surface risks and delays before they escalate
  • ✓AI-powered governance and compliance support
Machine Learning for All interface for data upload, model training, and prediction insights
Machine Learning for All application logoPredictive Analytics

Machine Learning for All

Designed for: Quality engineers, Operations managers

Accessible machine learning for quality, operations, and business teams.

  • ✓No-code model training from CSV or Excel data
  • ✓Pattern and anomaly detection in plain language
  • ✓Export predictions for quality and operations decisions
AI A3 problem solving application showing A3 workflow and root cause support
AI A3 structured problem solving app logoProblem Solving

AI A3

Designed for: Quality managers, Continuous improvement teams

Guide your teams through A3 methodology with AI-powered insights and structured templates.

  • ✓AI-guided root cause analysis and 5-Why support
  • ✓Structured A3 templates with intelligent suggestions
  • ✓Automated documentation and knowledge capture
AI FMEA Builder and Quality Assessor interface for FMEA generation and assessment
AI FMEA Builder and Quality Assessor application previewQuality Risk

AI FMEA Builder & Quality Assessor

Designed for: Quality, manufacturing, engineering, and APQP teams

Generate FMEAs from specifications, requirements, process flows, and historical data. Assess existing FMEAs against quality criteria and receive improvement recommendations.

  • ✓Generate FMEAs from specifications, process flows, and historical data
  • ✓Assess existing FMEAs against quality criteria and standards
  • ✓Run with cloud or local AI models for privacy-sensitive workflows