Databricks Tetrascience

Scientists can now go from "I have an idea" to "I have a running app" in under an hour. See a live build at our August 13 Showcase.

Our joint science-led approach for your data

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.

Accelerate scientific outcomes with your data

Accelerate Time to Milestone

Utilize predictive modeling to significantly reduce the number of experiments required in clone selection and media formulation, cutting upstream bioprocess development by 80%.

Increase Efficiency

In bioprocessing, end-to-end data automation increases productivity by 50% without expanding the lab footprint, freeing scientists to focus on more valuable work.

Reduce Risk

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.

The TetraScience Approach

Replatforming

Collect, centralize, and contextualize all your scientific data.

Analytics

Eliminate manual data movement and the latency and duplication issues of traditional analysis workflows.

Engineering

Contextualize and harmonize the data for search and analytics/AI.

AI

Generate AI-based scientific outcomes.

See Scientific AI in Action

Lead Clone Selection AI Assistant

Media Formulation AI Assistant

Scientific GenAI Companion

Scientific AI Companion for Data Analysis

Learn more

Fact sheet Unlock your scientific data with TetraScience and Databricks Learn more
White Paper The Scientific AI gap Download
Case Study Powering dashboards for faster drug discovery Download
Blog Genius of “And” – You can get both Read blog

Ready to unlock your scientific data?

Bavesh Patel SVP Databricks