TetraScience Partners with Thermo Fisher Scientific to Enhance Laboratory AI and Data Integration
TetraScience, a company specializing in scientific data and AI, has announced an exciting collaboration with Thermo Fisher Scientific Inc., a global leader in scientific services. This partnership aims to streamline the application of AI in biopharmaceutical research and production by transforming scientific data into a format that is optimized for AI use, as well as developing intelligent workflows at scale.
As the complexity and cost of launching new therapies continue to rise, biopharmaceutical companies are turning to scientific AI to boost productivity and shorten their time to market. However, deriving meaningful value from AI requires a robust foundation of scientific data that is AI-native. This has proven challenging due to the fragmented nature of today’s laboratory environments, where devices and software from different vendors often lead to incompatible formats, semantics, and workflow dependencies.
TetraScience’s manufacturer-agnostic Scientific Data Foundry and Scientific Use Case Factory are designed to convert experimental results from diverse instruments into standardized, usable, AI-powered scientific workflows. Under this new collaboration, TetraScience will integrate the instrumentation and informatics solutions from Thermo Fisher to unlock the value of scientific data on a large scale. In addition to Thermo Fisher's AI capabilities, Tetra AI — the intelligent layer that connects data and workflows to support scientific decision-making while providing cross-domain insights — will facilitate high-quality use cases aimed at improving reproducibility, throughput, and scalability of therapies in both research and manufacturing.
Patrick Grady, CEO of TetraScience, emphasized that disjointed systems and custom workflows hinder the realization of scientific AI. "Operationalizing AI requires extensive, harmonized scientific data enriched with context-specific information for targeted use cases. This approach can lead to markedly better scientific outcomes, and that’s precisely what TetraScience enables," he stated. He further noted that the collaboration with Thermo Fisher Scientific will help biopharmaceutical firms accelerate their processes and replace isolated workflows with a cohesive, AI-powered scientific operating system that becomes more potent with every use owing to Tetra AI's capacity to learn from every experiment and workflow.
Sean Baumann, Vice President for Digital and AI at Thermo Fisher Scientific, underscored the driving motivation behind their mission: to support clients in making the world healthier, cleaner, and safer. "The integration of AI is a natural extension of this approach, and our partnership with TetraScience enhances our ability to assist customers in automating their lab data management on a large scale. Together, we will enable scientific breakthroughs across the biopharmaceutical industry," he remarked.
The collaboration reflects a shared commitment to advancing scientific AI through interoperable, industry-focused solutions. The two companies will concentrate on delivering high-quality scientific workflows within selected global biopharmaceutical organizations that are already utilizing combined solutions from TetraScience and Thermo Fisher Scientific. This lays a solid foundation for broader adoption and impact across the industry. The partnership also includes efforts to provide integrated solutions to clients in biopharmaceutical research, development, and manufacturing.
Highlighting the significance of the announcement, Grady remarked, "This is a pivotal moment for the entire life sciences industry as it underscores the importance of collaboration in accelerating scientific AI."
TetraScience is a scientific data and AI company that aims to create a central operating system for scientific intelligence. Their Scientific Data Foundry converts raw scientific data into AI-native data, while the Scientific Use Case Factory industrializes AI-driven workflows in research, development, and manufacturing. Tetra AI bridges these two components and delivers agent-based capabilities that guide scientists through complex workflows, generate cross-domain insights, and accelerate scientific outcomes. TetraScience is trusted by leading biopharma companies worldwide and partners with entities like NVIDIA, Databricks, Snowflake, and Microsoft to reshape the scientific industry for the AI era. To learn more, visit tetrascience.com.
As the complexity and cost of launching new therapies continue to rise, biopharmaceutical companies are turning to scientific AI to boost productivity and shorten their time to market. However, deriving meaningful value from AI requires a robust foundation of scientific data that is AI-native. This has proven challenging due to the fragmented nature of today’s laboratory environments, where devices and software from different vendors often lead to incompatible formats, semantics, and workflow dependencies.
TetraScience’s manufacturer-agnostic Scientific Data Foundry and Scientific Use Case Factory are designed to convert experimental results from diverse instruments into standardized, usable, AI-powered scientific workflows. Under this new collaboration, TetraScience will integrate the instrumentation and informatics solutions from Thermo Fisher to unlock the value of scientific data on a large scale. In addition to Thermo Fisher's AI capabilities, Tetra AI — the intelligent layer that connects data and workflows to support scientific decision-making while providing cross-domain insights — will facilitate high-quality use cases aimed at improving reproducibility, throughput, and scalability of therapies in both research and manufacturing.
Patrick Grady, CEO of TetraScience, emphasized that disjointed systems and custom workflows hinder the realization of scientific AI. "Operationalizing AI requires extensive, harmonized scientific data enriched with context-specific information for targeted use cases. This approach can lead to markedly better scientific outcomes, and that’s precisely what TetraScience enables," he stated. He further noted that the collaboration with Thermo Fisher Scientific will help biopharmaceutical firms accelerate their processes and replace isolated workflows with a cohesive, AI-powered scientific operating system that becomes more potent with every use owing to Tetra AI's capacity to learn from every experiment and workflow.
Sean Baumann, Vice President for Digital and AI at Thermo Fisher Scientific, underscored the driving motivation behind their mission: to support clients in making the world healthier, cleaner, and safer. "The integration of AI is a natural extension of this approach, and our partnership with TetraScience enhances our ability to assist customers in automating their lab data management on a large scale. Together, we will enable scientific breakthroughs across the biopharmaceutical industry," he remarked.
The collaboration reflects a shared commitment to advancing scientific AI through interoperable, industry-focused solutions. The two companies will concentrate on delivering high-quality scientific workflows within selected global biopharmaceutical organizations that are already utilizing combined solutions from TetraScience and Thermo Fisher Scientific. This lays a solid foundation for broader adoption and impact across the industry. The partnership also includes efforts to provide integrated solutions to clients in biopharmaceutical research, development, and manufacturing.
Highlighting the significance of the announcement, Grady remarked, "This is a pivotal moment for the entire life sciences industry as it underscores the importance of collaboration in accelerating scientific AI."
About TetraScience
TetraScience is a scientific data and AI company that aims to create a central operating system for scientific intelligence. Their Scientific Data Foundry converts raw scientific data into AI-native data, while the Scientific Use Case Factory industrializes AI-driven workflows in research, development, and manufacturing. Tetra AI bridges these two components and delivers agent-based capabilities that guide scientists through complex workflows, generate cross-domain insights, and accelerate scientific outcomes. TetraScience is trusted by leading biopharma companies worldwide and partners with entities like NVIDIA, Databricks, Snowflake, and Microsoft to reshape the scientific industry for the AI era. To learn more, visit tetrascience.com.
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