Ganymede is a software platform that automates laboratory data workflows by connecting scientific instruments, Laboratory Information Management Systems (LIMS), and databases into a unified, FAIR (Findable, Accessible, Interoperable, Reusable) data layer. This enables labs to streamline operations, eliminate manual data entry and file management, and provide scientists with rich, structured data that aids compliance and powers advanced analytics, including AI and machine learning applications.
Ganymede's core product is its "Lab-as-Code" technology, which allows laboratories to automate data processes and integrate disparate systems. By automating these workflows, Ganymede helps scientific and biotech teams save up to 20% of their time, freeing them from repetitive data management tasks and supporting greater data integrity for regulatory compliance and research innovation.
Who Uses Ganymede?
Ganymede serves a wide range of organizations across biotechnology, pharmaceuticals, and research institutions. Notable customers include:
- Moderna
- Umoja
- Terray
- United Therapeutics
- Lila
- Metaphore
- Solugen
- Lawrence Berkeley Lab (LBL)
- Bend Bioscience
- UCSF
These clients rely on Ganymede to centralize and automate their lab data infrastructure, ensuring data quality and enabling compliance in regulated scientific environments.
How Was Ganymede Started?
Ganymede was founded by a team with deep expertise in software, data infrastructure, and scientific operations:
- Nathan Clark (Founder & CEO): Previously product manager for Benchling's data products, bringing experience in laboratory data solutions.
- Benson (Head of Implementations): Formerly Head of Quantitative Markets at Affirm, with expertise in complex system integrations.
- Andy Caruso (Head of Technology): Former software engineer at Alphabet, specializing in scalable technology platforms.
You can learn more about their leadership and company vision on the Ganymede About page.
What Makes Ganymede Different?
Ganymede stands out for its focus on creating a single, compliant data layer for labs, using automation to reduce manual effort and improve data usability. The platform is designed to support scientific innovation and compliance needs in highly regulated industries, leveraging modern software principles for scalability and integration.
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