Academic background
Experience at DTU and MIT in complex systems and advanced analytics.
Pattrnz works across Chile, Portugal, and Denmark to turn network science, data engineering, and AI into practical tools for supplier discovery, capability mapping, and RFx workflows.
Experience at DTU and MIT in complex systems and advanced analytics.
Professional experience spanning consulting, data infrastructure, and enterprise security.
Founders and lead participants in a consortium focused on more resilient strategic sourcing.
These organizations reflect the range of analytical, AI-enabled, and capability-mapping work Pattrnz has delivered across sectors.
Experience in data, network science, and AI-enabled solutions.
Academic experience in engineering, analytics, and complex systems.
Projects and partnerships spanning several markets.
Support from Innovation Fund Denmark and Accelerace, and VC investment from Magical Startups.
Choose one or two priority procurement categories for a Solution Sprint. Define the baseline, test the workflow, and decide what to scale—or use the value simulator to estimate the potential impact on cost, time, and risk before the RFx.