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Biopharma
R&D Workflows.
Revolutionized.

Top biopharma, biotech, and CRDMO organizations trust Genedata to digitalize, automate, and connect workflows across discovery, development, and manufacturing. By unifying data, advanced analytics, and AI in a single platform, Genedata eliminates manual data management, streamlines processes, and turns complex processes into insight-driven decisions.

Our Customers

Explore Key Areas

Connect processes and teams, unlock your data and insights, and accelerate R&D.
 
  • 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.
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  • 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.
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  • 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.
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  • 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.
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  • 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.
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  • 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.
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  • 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.
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All Modalities

Genedata supports all therapeutic modalities in one integrated platform, eliminating siloed point solutions and providing a single source of truth for all data and processes.
  • Support for monoclonal antibodies, bispecifics, multispecifics, and other complex biologics throughout discovery and optimization.
  • Integrated workflows for library design, screening, hit triage, engineering, and developability assessment.
  • Registration, tracking, and analytics for large molecule entities with complete molecular history. 
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  • Dedicated workflows for managing conjugation, payload-linker design, and complex characterization data.
  • Integrated chromatography and MS analytics to monitor DAR, stability, and critical quality attributes.
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  • Purpose-built workflows for designing, engineering, and developing cell therapy products with full traceability across vectors, cells, and processes.
  • Integrated analytics to connect NGS, flow cytometry, imaging, and functional assays for in-depth product characterization and performance assessment.
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  • Dedicated workflows for managing vector design, genome integration strategies, and complex characterization data throughout gene therapy development.
  • Seamless integration with NGS and other analytical technologies for assessing integration sites, off-target effects, and long-term product quality.
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  • Specialized workflows to orchestrate CRISPR target design, editing strategies, and verification within a single, controlled environment.
  • Automated analytics that combine NGS, functional readouts, and QC data for robust evaluation of on-target activity and off-target risk.
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  • Integrated workflows to support RNA design, production, formulation, and analytical characterization for mRNA and other RNA modalities.
  • Consolidated assay and process data to optimize RNA quality, stability, and performance across discovery, development, and CMC.
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  • Digitalized workflows for nucleic acid, viral vector, and protein-based vaccine programs from early discovery through development.
  • Unified analytical data streams to monitor immunogenicity, safety, and critical quality attributes for diverse vaccine candidates.
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  • High-throughput screening and profiling workflows for small molecules, integrated with biophysical and functional assays.
  • Standardized analytics that enable the rapid progression of high-value candidates and portfolio-level insights.
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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 Science

Experimental Scientists

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Computational Science

Computational Scientists

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IT

IT & Software Engineers

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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.
     
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