TetraScience

What is a data product, anyway? Our cofounder and CTO, Siping Wang, shares his thoughts with Forbes contributor, Adrian Bridgwater. Two key takeaways: Building data products takes deep domain expertise and, in the life sciences, you quickly realize how essential it is to bring the scientists and researchers into the design of the data product due to the complexity of the workflows. Learn more about scientific-data-as-a-product in the full article: https://lnkd.in/eGBMrv2A

When most scientists couldn't access high-throughput screening data, a biopharma turned to TetraScience. Now, with replatformed and engineered data, scientists can easily visualize it through a dashboard. The result? Faster drug discovery. Learn more in the full case study: https://lnkd.in/gjY_7-Pa

Learn how biopharmas can bridge the gap between scientific data and AI for pharmaceutical quality control. Watch this 5-minute recap video on how a modern, cloud-based platform and laboratory information management system (LIMS) can transform QC to meet the demands of expedited product releases. Watch the video to learn more: https://lnkd.in/eCr-tzRw

The TetraScience team joined the 60,000 other data practitioners at last week’s Databricks #DataAISummit in San Francisco. (In case you missed it, TetraScience announced a strategic partnership with Databricks a few weeks ago to accelerate the Scientific AI revolution.) We had some great conversations at the summit with leaders in data and analytics in the life sciences. The intel we gained from our discussions and what we heard during the keynotes and breakouts can boil down into three essential takeaways worth sharing with the TetraScience community. The tl:dr? - Every business wants to be an AI business - Nearly all organizations are still in the early stages of their AI journey - The state and quality of enterprise data continues to be the big stumbling block Read more takeaways from Naveen Kondapalli, SVP Product & Engineering at TetraScience, including insights from sessions with Sander Timmer, PhD at GSK and Pushpendra Arora at Merck: https://lnkd.in/eGq7NJ_p

Using qPCR to evaluate gene therapies, CMC scientists at a leading biopharma faced data bottlenecks. In order to step up the efficiency of their qPCR assay for CMC, they turned to TetraScience. By replatforming and reengineering their scientific data, the team boosted throughput by up to 6x, accelerating gene therapy development. Read more in the full customer story: https://lnkd.in/eXtmGNvR

The life sciences industry is racing to unlock its scientific data and harness Scientific AI. The problem: It's blocked by millions of silos of unstructured and vendor-specific proprietary formats. Alan Millar, our VP of Partnerships, spoke at the #DataAISummit about how TetraScience and Databricks have joined forces to solve the life sciences' data challenges and accelerate the Scientific AI revolution. Have a conversation with our team to discuss your Scientific AI use cases and learn more: https://lnkd.in/ex5KViXF #ScientificAI #ScientificData

Scientific data is trapped in millions of data silos and incompatible formats. The biopharma industry will never achieve Scientific AI readiness unless it liberates its data and transforms it into AI-native formats. Our VP of Partnerships, Alan Millar, explains the road to Scientific AI at the Databricks #DataAISummit today. Don’t miss this lightning talk with TetraScience at 1:10pm PT in the Innovation Showcase at the Partner Hub!  Schedule a meeting with our team at the event to learn more: https://lnkd.in/gGJWGkmS #ScientificData #ScientificAI

We're behind the scenes getting ready for tomorrow's lightning talk with Alan Millar, PhD, VP, Partnerships at TetraScience! Join him at #DataAISummit at the Innovation Showcase in the Partner Hub on Wednesday, 6/12 1:10pm PT. He'll explore how to unlock the world's largest and most critical scientific data sets across life sciences, chemicals, agriculture, and materials for predictive analytics and AI applications. Set up a time to meet with TetraScience at the event: https://lnkd.in/gGJWGkmS #ScientificData #ScientificAI

🧬 As Databricks’ strategic partner for scientific data, we're on a mission to accelerate the Scientific AI revolution. We’re thrilled to attend the #DataAISummit in San Francisco this week! Let's connect and explore the future of scientific data together. https://lnkd.in/gGJWGkmS

Transform your purification process development with the FPLC Data Explorer app, now part of the Tetra Data and AI Workspace! See how this new app helps scientists visualize, compare, and analyze UNICORN data more efficiently. Secure data storage, automation, and global access are just the beginning. Now scientists can gain deeper insights and focus valuable resources on driving key scientific outcomes. Check out the video demo to learn how scientists reduced the turnaround time for merging and overlaying chromatograms from one day to five minutes: https://lnkd.in/eYPsXSsZ #ScientificAI #Innovation #TetraData