Digitalizing Biopharma R&D
The Genedata Biopharma Platform is first-in-class enterprise software that automates and digitalizes research, discovery, and manufacturing to drive scientific innovation and help deliver life-saving therapies faster.
Since its founding in 1997, Genedata has enabled the transformation of biopharma R&D. Today, the Genedata Biopharma Platform digitalizes biopharmaceutical R&D processes, automating and streamlining the entire R&D workflow to increase throughput and improve data quality.
Missed the 2024 Biopharma
Partner Symposium?
Watch this short summary of highlights of the 10th annual Genedata Biopharma Partner Symposium.
More than 250 people attended from companies including Pfizer, Novartis, AstraZeneca, AbbVie, GSK, Bayer, Janssen, Merck, Sanofi, Boehringer Ingelheim, Amgen, Gilead, Roche, Daiichi Sankyo, Novo Nordisk, UCB, Servier, Ferring, together with renowned biotechs including Genmab, Bicycle Therapeutics, Immatics, as well as CROs and CDMOs such as Sartorius, Sandoz, Novozymes, and Charles River.
Purpose-Built. Proven.
Relied on by global biopharma giants and cutting-edge biotechs, the Genedata Biopharma Platform helps organizations to significantly reduce costs, accelerate workflows, and improve overall productivity.
The Genedata Biopharma Platform enables automation of complex R&D processes for any therapeutic format and modality.
The Genedata Difference
Unique. Game-Changing.
Unlike traditional electronic lab notebooks (ELNs) or laboratory information management systems (LIMS), the Genedata Biopharma Platform is a next-generation platform that drives process efficiency and innovation by integrating R&D workflows, automating R&D operations, eliminating bottlenecks, and fostering collaboration.
With built-in business logic and an open architecture, it simplifies daily work, leverages results on a corporate scale, and empowers the establishment of novel R&D technologies and workflows.
AI Ready.
New robotic systems and laboratory automation have dramatically increased the amount of experimental data for capture, processing, and analysis. Only a truly scalable platform can manage the exponentially growing volume of data, which fuels next-generation artificial intelligence (AI) and machine learning (ML) technologies.
AI approaches such as Deep Learning require systematic access to structured data to extract patterns to guide future R&D projects. Unstructured data repositories, even when centralized, make it impossible to make sense out of the data. Only a fully integrated data infrastructure can transform R&D operations.
AI is here. Are you ready?
Transformative. Our Services.
Genedata offers a variety of consulting and professional services to complement the Genedata Biopharma Platform. These services facilitate optimal setup and usage of the platform, easily adopting best practices both for on-premise or Software as a Service (SaaS) implementations.