Ganymede Platform

Ganymede Platform is a modular, cloud-based lab data integration solution developed by Ganymede Bio (now part of Apprentice.io). Designed for scientific organizations of all sizes — from small biotechs to large enterprises — it connects lab instruments, automates data workflows, and unlocks analytics through a scientist-friendly interface. The platform is flexible and infrastructure-agnostic, integrating with existing tools such as AWS, Benchling, and more, while requiring minimal new training thanks to built-in no-code features.

Ganymede enables labs to consolidate disconnected instrument data and application silos into a unified foundation that supports automation, FAIR data integrity, and AI-ready data pipelines. Whether users are coders or not, the platform is built to maximize the value of an organization's existing data investments.

Unified Data Visibility

• View all lab operations in a single pane of glass, personalized to your specific processes and workflows.
• Share insights across the organization using a no-code interface to filter and explore structured data.
• Access dashboards that reference near-real-time data, updated on demand or on a scheduled cadence to support faster, more agile decision-making.

FAIR Data Cloud

• Find files using customizable tags labeled with attributes relevant to your team, eliminating the need for rigid folder structures.
• Every output file processed by Ganymede is saved and versioned as a unique copy, with full traceability back to the exact code snapshot and logs used to generate it.
• Organize files with a personalized color palette and attribute-based tagging system so every lab member can discover files in their own way.
• View the code used to generate each output file directly from the file browser.

Lab-as-Code

• Customize data processing pipelines using Python or SQL, executed on a highly available and scalable data orchestration platform.
• Instantly recover the full run context — including files, data, user, and execution time — from any prior pipeline execution within a Jupyter notebook environment.
• Pipeline code, scheduling, and notification configurations are all captured in a backing Git repository.
• Pipeline execution occurs in versioned Docker containers, ensuring complete traceability of program and system dependencies.

Remote Instrument Data Management

• Automatically capture data from lab instruments at the moment of generation, labeled with sample, instrument, and user metadata relevant to your workflows.
• Manage all critical lab assets from one central hub with full visibility across instruments.
• Monitor instrument status and logs remotely via the web for rapid issue diagnosis.
• Remotely update data capture logic, configure file handling, and troubleshoot instruments without requiring physical presence in the lab.

Virtualization

• Run entire applications, virtual machines, or virtual desktops within Ganymede, freeing scientists from being tied to physical lab PCs.
• Virtualize manual analysis workflows using familiar tools and SOPs while streamlining data management in the cloud.
• Host in-house Windows and web applications through a browser, securely served on a dedicated tenant for your organization.
• Create human-in-the-loop pipelines that incorporate cloud-based scientific analysis into automated workflows.

No-Code Accessibility and Integrations

• The platform is specifically designed with no-code features — including virtualization for existing software apps and built-in dashboards — to minimize training requirements.
• Ganymede is agnostic to existing infrastructure, allowing organizations to maximize prior investments in tools like AWS and Benchling.
• Suitable for both technical and non-technical users across the organization.

Ganymede Platform is deployed as a cloud-based, multi-tenant solution with dedicated tenant options for secure in-house application hosting. It supports compliance and data integrity through versioned files, full execution traceability, and a Trust Center. The platform is now part of the Apprentice.io AI-native ecosystem, extending its capabilities from lab-scale operations to commercial-scale deployment.