• Turning complex global regulations into structured, machine-readable requirements that integrate directly into engineering workflows
• Connecting unstructured data from QMS, PLM and RIM and storing it in a knowledge graph; running AI agents on top.
• Reducing manual effort, rework, and review cycles while maintaining audit-ready documentation
• Enabling real-time impact analysis of regulatory changes across product development, quality, and technical documentation
• Case study: Applying REMATIQ’s AI within Philips’ engineering and regulatory processes to automate traceability from design inputs to verification and validation