TetraScience announced a collaboration with Thermo Fisher Scientific Inc. with a goal of accelerating AI across biopharma R&D and manufacturing by transforming scientific data into AI-native form and developing intelligent workflows at scale. As the complexity and cost of bringing new therapies to market continue to rise, biopharmaceutical companies are turning to Scientific AI to support improvements in productivity and time to market. Yet AI only creates meaningful value when built on AI-native scientific data-- something almost impossible to achieve in today's fragmented laboratory ecosystem, where instruments and software systems across vendors generate incompatible form, semantics and workflow dependencies.
TetraScience's vendor-agnostic Scientific Data Foundry and Scientific Use Case Factory transform experimental results from disparate instruments into standardized, deployable, AI-enabled scientific workflows. Through this collaboration, TetraScience will integrate Thermo Fisher's instrumentation and informatics solutions to further unlock the value of scientific data at scale. Alongside Thermo Fisher's AI capabilities, Tetra AI--the intelligence layer that connects data and workflows to guide scientific decision-making and surface cross-domain insights--will help power high-value use cases to improve reproducibility, throughput and scalability in therapies across R&D and manufacturing.
The collaboration reflects a shared commitment to advancing Scientific AI through interoperable and industry-aligned solutions. The companies will focus on high-value scientific workflows at select global biopharmaceutical organizations, several of which already use combined solutions from TetraScience and Thermo Fisher Scientific, providing a foundation for broader adoption and impact across the industry. The collaboration also includes joint efforts to bring integrated solutions to customers across biopharmaceutical R&D and manufacturing.
