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The Databricks and TetraScience partnership supports replatforming and engineering scientific data to enable the large-scale production of liquid, AI-native datasets across the entire value chain.
These datasets are registered in the Unity Catalog, and accessible in your Databricks Data Intelligence platform using zero-copy integration to conduct advanced analytics, build ML models, leverage generative AI, and establish unified governance.
Discover how TetraScience can support your scientific and business goals.
TetraScience liberates, unifies, and transforms your raw scientific data into FAIR, AI-native data
Data is registered in the Unity Catalog and made available to your Databricks platform via Delta Sharing
AI-native data comes to life through a rapidly expanding suite of scientific use cases in analytics, machine learning and AI across the pharmaceutical value chain
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Utilize predictive modeling to significantly reduce the number of experiments required in clone selection and media formulation, cutting upstream bioprocess development by 80%.
In bioprocessing, end-to-end data automation increases productivity by 50% without expanding the lab footprint, freeing scientists to focus on more valuable work.
Triple QC efficiency and predict deviations early with performance monitoring dashboards, reducing out-of-specification events by up to 75% and easing compliance burden. Automating error-prone manual transcription across R&D further improves data integrity.
Collect, centralize, and contextualize all your scientific data
Eliminate manual data movement and the latency and duplication issues of traditional analysis workflows
Contextualize and harmonize the data for search and analytics/AI
Generate AI-based scientific outcomes
Contact us today to discover how we can support your scientific and business goals.
Bavesh Patel
SVP Databricks