Bioprocess (Modular Analysis)

Ganymede's Bioprocess Modular Analysis is an AI-enabled platform designed for bioprocess engineers and scientists who need to unify, analyze, and optimize their bioprocess data at scale. Now part of Apprentice.io, Ganymede connects every step of the bioprocess workflow — from bioreactors and analytical instruments to assay outputs and IoT devices — into a single cloud-based platform that delivers real-time visibility, deeper analytical insight, and faster scale-up decisions.

Built for life science organizations working across small molecules, biologics, cell and gene therapies, and synthetic biology, the platform combines a flexible Lab-as-Code architecture with practical AI capabilities to transform disconnected instrument data into a clean, centralized foundation for automation and advanced analysis.

Unified Data Capture

• Online data integration: Ganymede's OPC agents connect directly to bioreactors and other online data systems, continuously capturing time-series data and consolidating it into a single cloud layer with built-in exception checking.
• Atline data capture: Agents also collect data from analytical instruments such as cell counters and analyzers, automatically cleaning and standardizing outputs, calculating key metrics, and linking results to the corresponding batch.
• Ganymede Agents: Agents are available with powerful pre-built templates or can be fully customized through the Lab-as-Code system. They interface with PCs and instruments to capture any aspect of data and can even interact with Windows-based applications.

Advanced Bioprocess Analysis

• Cell culture growth kinetics: Apply a variety of predictive models — or add custom models — to forecast the growth trajectory of cell cultures across a run and under varying conditions.
• Process parameter correlations: Easily compare the impact of different process parameters and settings across multiple runs to support the development of critical process parameters during scale-up toward manufacturing.
• Process optimization and DOE: Visualize the full parameter space of bioprocess runs to rapidly learn and optimize, transforming scale-up activities into a structured Design of Experiments (DOE) approach.

Practical AI Capabilities

• Isolation forest modeling: Machine learning isolation forest models are used to analyze bioprocess data and automatically flag anomalies such as drift or contamination, providing a simple yet powerful first pass of quality control metrics.
• Online DOE: Leverage aggregated data across all runs to drive a true bioreactor model that characterizes process parameters, with models that can be added and tuned to specific use cases.
• Powerful Flows and automation: Ganymede's Flows enable more advanced modeling through custom compute in multi-step pipelines, building a fully automated backend processing layer that supports arbitrary analysis code.

Demonstrated Strategic Impact

• Achieved 2 months faster scale-up for a client developing a bioprocess for cell therapies.
• Saved 2,500 hours annually by automating peak finding with AI for an analytical chemistry team.
• Delivered a 60% increase in throughput for plate-based assays by reducing errors and accelerating human analysis for a diagnostics client.

Platform Flexibility and Use Cases

• Supports a wide range of scientific workflows including bioprocess, chromatography, and plate-based assays.
• Designed for multiple therapeutic types and bio-products: cell and gene therapies, synthetic biology, biologics, and small molecules.
• Accessible across organizational roles, including leadership, developers, and scientists, ensuring lab data is reusable throughout the organization.

Ganymede's Modular Analysis platform is deployable for organizations ranging from small biotechs to large enterprises, and is purpose-built to handle the complexity of life science data environments. By enabling FAIR data integrity, automation, and a rich AI-ready data foundation, it helps teams unlock the value already present in their existing instrument and lab data.