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Software for Clinical and Translational Research | Genedata Profiler

Precision Medicine. Digitalized.

Transform complex multi-modal data into actionable scientific insights. Genedata Profiler® unifies, harmonizes, and governs clinical, omics, imaging, biomarker, and real-world data in a secure, validation-ready environment. Enable collaborative analytics, AI-powered discovery, and faster data-informed decisions across your precision medicine programs.

Our Customers

Discover how to maximize the value of your translational data and empower innovation in precision medicine.
Software that Scales.

Understand Mechanisms. 
Improve Outcomes.

A secure, collaborative, GxP-compliant solution that allows scientists to understand a drug´s mode of action, identify its most suitable indication, optimize clinical trial design, or predict patient response in clinical trials.

Genedata Profiler supports the complete workflow from biomarker discovery to final IVD approval in a single platform, minimizing tech transfer risk and increasing probability of success.​

Discover the Software

 

Connect Data.
Empower Teams and AI.

Contextualized, analysis-ready data products, integrating multi-modal data from diverse sources, enable self-service consumption by humans or AI. It facilitates data-informed decisions that support scientific insights, smarter clinical trial design, and enhance regulatory approvals.

In Profiler, data products are crafted to answer a specific question built on a defined data model, governed by ontologies and rules, and tailored to a particular user group and purpose. This ensures that every insight is not only relevant but actionable. ​

Explore the Applications

Enable Confident, Evidence-Based Decisions.

Scientists        Data Scientists        Data Executives

Faster Time to Insight.

Real-time access to curated, analysis-ready data to run interim analyses and 
enable adaptive decision-making during ongoing trials​

Increased Clinical Success.

Profiler directly improves clinical success rates by enabling optimized, evidence‑driven decisions around efficacy, safety, and patient response.

Smart Study Design.

Unified efficacy, safety, and clinical endpoints allow teams to design more
targeted, effective studies and prepare stronger, more coherent evidence packages.​

Connected Evidence Landscape.

Seamlessly integrate legacy clinical data, real‑world evidence (RWE), and mechanistic studies to identify new indications and validate precision‑focused hypotheses.​