From Connected Labs to Orchestrated Science

How Thermo Fisher Scientific and Scitara are advancing laboratory connectivity, automation, and AI-ready science

Laboratories rely on a growing number of instruments, software applications, and automation systems. Yet many of these technologies still operate independently, making it difficult to access data, coordinate workflows, and scale digital transformation. 

Thermo Fisher Scientific is collaborating with Scitara to help laboratories address this challenge. 

By combining Thermo Fisher’s scientific technologies and digital capabilities with Scitara’s Digital Lab Exchange, laboratories can simplify connectivity across Thermo Fisher and third-party instruments, systems, applications, and data sources. 

This creates an important foundation for the orchestrated lab; an environment in which technologies, data, and workflows work together more effectively. 

Building a more connected laboratory

Traditional point-to-point integrations can become difficult to maintain as laboratories add new technologies and workflows. A scalable connectivity layer provides a more consistent approach to exchanging data across the laboratory ecosystem. 

Greater connectivity and interoperability can help laboratories: 

• Reduce integration complexity 

• Improve access to scientific data 

• Increase visibility across workflows 

• Strengthen data traceability and context 

• Create a scalable foundation for automation and AI 

The goal is not simply to connect more systems. It is to help those systems operate as part of a coordinated scientific environment. 

As Geoff Gerhardt, Chief Technology Officer at Scitara, adds: 

“AI must be built atop structured, high-quality data. Our collaboration with Thermo Fisher Scientific provides our shared global customers with a governed, AI-ready connectivity layer to build up agentic and autonomous lab systems.” 

Creating the foundation for AI-ready science

AI depends on accessible, contextualized, and usable data. When scientific information is distributed across disconnected instruments, applications, and data systems, teams spend significant time locating results, standardizing formats, and determining how data relates to a specific sample, experiment, or workflow. 

A modern connected laboratory architecture helps automate more of the foundational work. For example, it can bring together instrument results, sample metadata, environmental conditions, and workflow history so that advanced analytics can identify unusual results, surface potential process deviations, compare performance across experiments, or recommend the next step in the workflow.  

Over time, this foundation can support capabilities such as predictive modeling, automated data interpretation, anomaly detection, and more coordinated laboratory operations.  

Connectivity alone does not create an AI-enabled laboratory. It provides the trusted, contextualized data infrastructure needed to make AI practical and scalable. 

Advancing toward orchestrated science 

The laboratory of the future will be defined by how effectively technologies, data, workflows, and people work together;  whether integrating mass spectrometers, laboratory information management and chromatography systems, or lab automation platforms laboratories need a flexible way to exchange data across diverse technology.  

Through its collaboration with Scitara and through the continued product development, Thermo Fisher Scientific is helping laboratories move beyond disconnected systems toward the automated digital lab.

Learn how Thermo Fisher Scientific and Scitara are helping laboratories build the connectivity foundation for orchestrated science. 

Contact our specialists to find out more about the collaboration.

Capabilities may vary by instrument, system configuration, implementation and product.

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