Biopharma
R&D Workflows.
Revolutionized.
Accelerate scientific innovation through connected workflows.
Connect data, analytics, and processes across the organization to improve efficiency and empower faster, insight-driven decisions. With Genedata.
Our Customers
Explore Key Areas
Connect processes and teams, unlock your data and insights, and accelerate R&D.
- All Assays & Analytics
- Biotherapeutics Discovery
- Bioprocess Development
- Chromatography Workflows
- Drug Metabolism and Pharmacokinetics
- Mass Spectrometry Workflows
- NGS-Based Workflows
- Precision Medicine
- Centralized, structured assay data with full context, traceability, and audit trails.
- Automated end-to-end workflows from instrument readout to QC, visualization, and reports.
- Support for complex, high-throughput and multiplexed assays across discovery and development.
- Integrated workflows to design, screen, and optimize biologics, from early hits to lead candidates.
- Built-in support for next-gen antibodies and ADCs, with shared registration and analytics across modalities.
- End-to-end traceability linking sequence, assays, and developability data to accelerate candidate selection and reduce risk.
- Integrated workflows to connect cell line development, upstream and downstream processing, formulation, and analytical development in one environment.
- End-to-end data capture and compliant analytics to support Quality by Design, digital twins, and efficient tech transfer to manufacturing.
- Automated, harmonized processing and reporting of all chromatography and CE data in a single system.
- End-to-end workflows for purification development, CQA monitoring, and developability assessments, reducing analysis time and errors.
- End-to-end digital backbone for modern DMPK, transforming fragmented data into structured, traceable, AI-ready formats for predicting successful drug candidates.
- Automated MS-based processing of large, complex biotransformation libraries, containing hundreds of thousands of predicted metabolites.
- Integrated and harmonized assays are structured into traceable sessions and linked to molecule registration, sample batch, QC, and metadata.
- DMPK analytical results are connected to registered therapeutic candidates across hybrid and conjugated therapeutics.
- Streamlined MS data pipelines for in-depth molecular characterization, process monitoring, and multi-attribute methods.
- GxP-ready, configurable workflows that support QC, product quality assessment, and regulatory expectations.
- NGS workflows covering discovery, bioprocess development, genome editing, biosafety testing, and QC.
- Scalable, automated pipelines that integrate with upstream and downstream analytics to support omics-driven process optimization and translational research.
- Integrated management and analysis of high-dimensional translational and clinical datasets.
- Identification and validation of novel biomarkers, therapeutic indications, and response signatures.
- Tools to design data-driven clinical trials and link R&D insights to real-world data.
Empowering Scientists, Data Experts, IT, and Quality
The Genedata Biopharma Platform enables scientists, data experts, IT, and quality teams to collaborate in one shared system with role-specific tools on a governed data backbone.
Experimental Scientists
Computational Scientists
IT & Software Engineers
Driving Operational Excellence in Biopharma
By connecting workflows, data, and teams, Genedata enables true operational excellence across the biopharma value chain. Organizations can scale complex pipelines, reduce cycle times, and systematically capture process knowledge from discovery through clinical development and manufacturing. Operational impact:
- Reduction of manual data processing and reporting efforts through automation and standardization.
- Improved collaboration across internal groups and external partners based on a single, trusted data backbone.
- Better portfolio and program decisions fueled by harmonized, analytics-ready data and cross-workflow insights.