Ganymede

Ganymede Bio is a modular lab data platform purpose-built for the life sciences industry. It connects instruments, electronic lab notebooks (ELNs), laboratory information management systems (LIMS), and other scientific applications into a single, unified, FAIR data layer — enabling labs to standardize and leverage both dry and wet lab data for automation, analysis, and AI. Ganymede serves a broad range of organizations, from small biotechs to large enterprises, across therapeutic areas including small molecules, biologics, cell and gene therapies, and synthetic biology.

At its core, Ganymede's mission is to accelerate the discovery, development, and delivery of therapeutics by giving scientists data superpowers — freeing them from manual data work so they can focus on the science itself. The platform is designed to be open, developer-friendly, and highly customizable, reflecting the company's belief that code and collaboration are essential to handling the complexity of modern lab data.

Core Platform Capabilities

• Connect: Ganymede offers hundreds of pre-built connectors and provides flexible tools to build new integrations, enabling seamless connectivity to every instrument, app, and data source in the lab.
• Automate: Through a Lab-as-Code approach, the platform automates data capture and analytical calculations, writing results directly into ELNs, LIMS, MES systems, and other tools — with no manual intervention required.
• Analyze: An innovative flow-based web IDE allows users to write Lab-as-Code automation, build data pipelines against integrated data, and create custom integrations, enabling advanced analytics directly within the platform.

Modular Analysis and Workflow Automation

• Automates repetitive analysis tasks across instruments and software systems.
• Modules are configurable and adaptable without requiring heavy IT involvement.
• Supports instant integration of new tools and AI capabilities.
• Provides real-time visualization of insights and trends.
• Enables labs to easily build, update, or scale their analytics infrastructure.

Key Use Cases and Supported Workflows

• Bioprocess: Aggregates data from bioreactors and analyzers to support process optimization and design of experiments (DOE).
• Chromatography: Supports control charts and cross-batch modeling for analytical chemistry workflows.
• Liquid Handlers: Enables asset utilization tracking and error analysis.
• Plate-Based Assays: Automates curve fitting and supports meta-analysis, improving throughput and reducing errors.

Demonstrated Strategic Impact

• Accelerated scale-up by 2 months for a client developing a bioprocess for cell therapies.
• Saved 2,500 hours annually for an analytical chemistry team by automating peak finding with AI.
• Increased plate-based assay throughput by over 60% for a diagnostics client by reducing errors and accelerating human analysis.
• Enabled a 10x increase in sample throughput for Solugen's process chemistry and analytics team through instrument integration.

Platform Design and Deployment

• Modular architecture allows labs to adopt and expand capabilities one module at a time.
• Designed to be secure, scalable, and suitable for both small biotechs and large enterprise organizations.
• Supports FAIR (Findable, Accessible, Interoperable, Reusable) data principles across all connected systems.
• Developer-friendly and open — built to be customizable and extensible, avoiding proprietary lock-in.
• Serves organizations working across all major therapeutic types: small molecules, biologics, cell and gene therapies, and synthetic biology.

Company Values and Mission

• Committed to reducing waste and improving sustainability in life sciences by enabling data-driven decisions that make lab operations more efficient.
• Dedicated to making lab data inclusive and accessible across the entire organization — for leadership, developers, and scientists alike.
• Actively supports the growth of the TechBio ecosystem through integrations, partnerships, and meaningful collaborations.
• Emphasizes building a diverse, interdisciplinary team and fostering an environment where individuals can thrive both personally and professionally.

Ganymede Bio is headquartered in Palo Alto, CA, with offices in Jersey City, NJ, and is trusted by labs around the world seeking to transform disconnected instrument data and fragmented workflows into a powerful, unified foundation for automation, FAIR data integrity, and AI-driven discovery.