AI-driven supplier risk platform for pharma and life sciences
Qualifyze operates a cloud-native compliance platform for pharmaceutical supply chains, built on Java/Spring/PostgreSQL and deployed across AWS/Kubernetes infrastructure. The tech stack reflects a data-heavy, regulated-industry play: Redshift, dbt, Dagster, and Fivetran indicate a mature data pipeline architecture feeding real-time risk analytics. Hiring is heavily engineering-focused (4 of 5 open roles) at senior levels, with active infrastructure and CI/CD work, suggesting investment in scale and compliance-grade reliability rather than feature velocity.
Qualifyze provides predictive supplier risk management for Life Sciences companies, helping them monitor compliance, track audit data, and forecast supply-chain disruption. Founded in 2019, the company has built one of the largest audit databases in the space and now serves over 1,500 pharma clients through a cloud platform. The product surfaces real-time compliance visibility and uses AI-driven analytics to move audit management from reactive to predictive. Operations span multiple geographies, with engineering headquarters in Frankfurt and active hiring in Spain.
Java, Spring, PostgreSQL, Kubernetes, and AWS for core infrastructure; Redshift, dbt, Dagster, and Fivetran for data pipelines; Datadog for monitoring; GitHub Actions and Terraform for CI/CD and infrastructure-as-code.
Over 1,500 Life Sciences and pharmaceutical companies use the platform for supplier compliance tracking and risk forecasting.
Other companies in the same industry, closest in size