
Automate to Innovate
How can biopharma companies accelerate R&D, boost innovation, and reduce costs? Automating lab experiments is only part of the solution. True transformation requires simultaneously automating data workflows — capturing, processing, and monitoring data with minimal manual input. This enables scientists to focus more on advancing research than routine tasks. However, integrating automation across lab instruments, lab automation systems, and data processes remains a major challenge.
This is where Genedata comes in.

Accelerate Innovation. Reduce Costs.
- Cut manual data handling to reduce operational costs, refocus expert talent on high-impact R&D, and shorten project timelines
- Standardize and automate processes across global teams to ensure compliance, reproducibility, and data integrity
- Accelerate time-to-market with faster, data-driven decisions enabled by real-time insights and automated reporting

Streamline Data Handling. Focus on Science.
- Automate manual data operations – from capture to analysis – for GS, HTS, MS, chromatography, and other complex assays
- Run more experiments and analyze complex, multi-dimensional data with less manual effort and fewer errors
- Generate consistent, high-quality results with guided workflows, built-in QC, and automated data validation

Optimize Integration. Scale with Confidence.
- Connect instruments, automation platforms, and lab data management systems via open APIs, flexible interfaces (e.g., RESTful web services), and vendor integrations
- Maintain full traceability and compliance with barcoded workflows, audit-ready logs, and secure data governance
- Reduce system downtime and support overhead with automated processing, real-time monitoring, and centralized control
Unlock faster, smarter biopharma R&D with
end-to-end data automation
Enabling Our Customers to Achieve End-to-End Automation
Sartorius Stedim Increases Productivity 3X
Discover how Sartorius Stedim, a global leader in bioprocess development, fully digitalized lab workflows with Genedata. By moving from spreadsheets to automated data handling, they streamlined operations and achieved a threefold increase in productivity.





