BOSTON, Jan. 13, 2026 /PRNewswire/ — TetraScience, the Scientific Data and AI company, has announced a collaboration with Thermo Fisher Scientific Inc., aiming to accelerate artificial intelligence (AI) integration across biopharmaceutical research and development (R&D) and manufacturing. This partnership seeks to transform scientific data into AI-native formats, enabling intelligent workflows that can improve efficiency and outcomes for pharmaceutical organizations.
With the rising complexity and costs associated with bringing new therapies to market, biopharmaceutical firms are increasingly turning to Scientific AI to enhance productivity and reduce time to market. However, significant challenges arise from the fragmented laboratory ecosystem, where disparate instruments and software produce incompatible data formats and workflows. TetraScience’s solutions, including its vendor-agnostic Scientific Data Foundry and Scientific Use Case Factory, aim to standardize and harmonize these varied data sources, ultimately facilitating AI-driven scientific processes.
Through this collaboration, TetraScience plans to integrate Thermo Fisher’s advanced instrumentation and informatics solutions, which are expected to further unlock the potential of scientific data at scale. The partnership will leverage Tetra AI, an intelligence layer that connects data and workflows, enabling better decision-making and insights across different scientific domains. The goal is to enhance reproducibility and throughput in therapeutic development across both R&D and manufacturing sectors.
“Scientific AI cannot be achieved on a foundation of fragmented systems and bespoke workflows. Operationalizing AI requires large-scale, harmonized scientific data enriched with context specific to targeted use cases,” said Patrick Grady, CEO of TetraScience. “Our collaboration with Thermo Fisher Scientific will help biopharmaceutical organizations move faster and replace isolated processes with an AI-native scientific operating system that compounds in capability with every use—powered by Tetra AI’s ability to learn from each experiment and workflow.”
Sean Baumann, Vice President of Digital and AI at Thermo Fisher Scientific, highlighted the alignment of their mission with the goals of the partnership. “At Thermo Fisher Scientific, our mission—to enable our customers to make the world healthier, cleaner and safer—pushes us to continuously rethink how we support our customers’ most important work. Leveraging AI is a natural evolution of that approach, and our collaboration with TetraScience strengthens how we help customers automate data management at scale in the laboratory,” Baumann said. He added that together, they aim to accelerate scientific breakthroughs in the biopharmaceutical industry.
This collaboration reflects a mutual commitment to advancing Scientific AI through interoperable solutions tailored for industry needs. The focus will be on developing high-value scientific workflows at select global biopharmaceutical organizations that are already employing combined solutions from both TetraScience and Thermo Fisher Scientific. This existing user base provides a robust foundation for broader implementation and impact across the industry. Moreover, the partnership will include joint efforts to deliver integrated solutions to customers involved in biopharmaceutical R&D and manufacturing.
Grady emphasized the significance of this announcement for the life sciences sector. “Today’s announcement marks a pivotal moment for the entire life sciences industry as it showcases the power of collaborations in accelerating Scientific AI,” he stated.
TetraScience, trusted by leading biopharma companies and global partners such as NVIDIA, Databricks, Snowflake, and Microsoft, is positioning itself as a key player in replatforming scientific industries for the AI era. With tools designed to convert raw scientific data into AI-native formats, TetraScience is laying the groundwork for future advancements in scientific workflows and decision-making processes.
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