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TetraScience and Thermo Fisher Scientific Join Forces to Propel AI in Scientific Labs

In a significant development for the scientific and biopharmaceutical research community, TetraScience, a leading company in scientific data and artificial intelligence, has announced a strategic collaboration with Thermo Fisher Scientific Inc. This partnership aims to accelerate the integration of AI technologies within pharmaceutical laboratories, thereby improving data utilization and enhancing patient outcomes.

A Growing Need for AI in Biopharmaceuticals

As the challenges and costs associated with the introduction of new treatments continue to escalate, the biopharmaceutical industry is increasingly relying on scientific AI to boost productivity and shorten the time to market for new therapies. However, effective AI implementation hinges on the availability of scientific data that is readily compatible with AI systems. Unfortunately, many labs operate with disjointed systems from different vendors, resulting in data that is often incompatible in terms of format, semantics, and workflow dependencies.

The announcement marks a pivotal step in overcoming these challenges. With TetraScience's Scientific Data Foundry—a platform designed to convert experimental results from various instruments into standardized workflows that are deployable and AI-compatible—this collaboration seeks to streamline the data flow and boost the efficacy of scientific research.

Uniting Forces for Enhanced Data Utilization

Under the terms of this collaboration, TetraScience plans to integrate Thermo Fisher's instrumentation and computing solutions, which will facilitate a broader release of scientific data value on a large scale. Thermo Fisher's AI capabilities will work hand-in-hand with Tetra AI. This intelligent layer connects data with scientific workflows, enabling better decision-making and the emergence of cross-domain insights, ultimately leading to valuable applications that enhance the reproducibility and scalability of therapeutics in research and manufacturing settings.

Patrick Grady, CEO of TetraScience, highlighted the significance of this initiative: "Achieving scientific AI requires unified, large-scale scientific data enriched with context relevant to specific use cases. This is vital for achieving superior scientific outcomes, and that’s precisely where TetraScience comes into play. Our collaboration with Thermo Fisher Scientific allows biopharmaceutical organizations to accelerate their processes, replacing isolated procedures with a native scientific operating system for AI that improves with each interaction, thanks to Tetra AI's learning capabilities."

Sean Baumann, Vice President of Digital and AI at Thermo Fisher Scientific, echoed this sentiment: "Our mission is to enable our customers to make the world healthier, cleaner, and safer. Continuously reinventing how we support our clients' most critical work drives us to explore the evolution of AI integration. This collaboration with TetraScience enhances our ability to automate large-scale data management in labs, facilitating quicker scientific discoveries in the biopharmaceutical sector."

A Shared Commitment to Scientific AI Advancement

This partnership reflects both companies' dedication to advancing scientific AI through interoperable solutions aligned with industry standards. Together, they will focus on high-value scientific workflows in leading global biopharmaceutical organizations, many of which already utilize combined TetraScience and Thermo Fisher solutions. This collaboration lays the groundwork for broader adoption and impact throughout the sector, including joint efforts to deliver integrated solutions to clients in R&D and biopharmaceutical manufacturing.

Grady emphasized, "Today's announcement signifies a decisive turning point for the life sciences sector, showcasing the power of collaboration in accelerating scientific AI development."

About TetraScience

TetraScience specializes in scientific data and AI, building an operating system for scientific intelligence. Its Scientific Data Foundry transforms raw scientific data into AI-native formats, while the Scientific Use Case Factory industrializes AI-dependent workflows for R&D and manufacturing processes. Tetra AI bridges these two realms, offering agentic capabilities that guide scientists through complex workflows, surfacing cross-domain knowledge, and expediting scientific results. Trusted by major investors, top biopharmaceutical companies, and global partners such as NVIDIA, Databricks, Snowflake, and Microsoft, TetraScience is reshaping scientific industries worldwide for the AI era. For more information, visit tetrascience.com.