Health data platform for clinical research, built on open standards and cloud infrastructure
Data4Life operates a nonprofit healthtech platform connecting clinical data to research institutions across public health and personalized medicine. The stack reveals infrastructure-first engineering: Kubernetes, Terraform, and PostgreSQL underpin FHIR/DICOM/OMOP CDM interoperability layers, with Python and R for analytics. Active projects around LLM integration, cloud architecture, and data standardization suggest a shift toward AI-assisted clinical workflows—signaling expansion beyond traditional RWD pipelines into agentic research tools.
Data4Life is a German nonprofit healthtech organization working to prepare health data for research in public health and personalized medicine. Founded in 2017 and supported by the Hasso Plattner Foundation, the organization operates a data platform that standardizes clinical records across research partners using FHIR, DICOM, and OMOP CDM standards. The team collaborates with university hospitals, public health institutes, and research institutions in Europe and North America. Headquarters are in Potsdam with additional offices in Berlin and Singapore. The platform surfaces research workloads through Tableau and Apache Superset, with ongoing expansion into LLM-assisted data querying and clinical modeling for at-scale analytical use.
Kubernetes, Terraform, PostgreSQL, Docker, GitHub Actions for orchestration; FHIR, DICOM, OMOP CDM for health data interoperability; Python, R, Vue, React Native for application layers; Tableau and Apache Superset for analytics.
Potsdam, Brandenburg, Germany. Additional offices operate in Berlin and Singapore.
Other companies in the same industry, closest in size