The biopharma landscape is evolving rapidly. Stay ahead by making the most of your scientific data. Our new white paper reveals the key trends redefining scientific data management in the industry. By adapting quickly, you can capitalize on Scientific AI and gain a competitive edge. Learn more: https://lnkd.in/en5Psqsz
TetraScience
Software Development
Boston, MA 32,666 followers
Open | Cloud-Native | Purpose-Built for Science
About us
TetraScience is the Scientific Data and AI Cloud company with a mission to accelerate scientific discovery and improve and extend human life. The Tetra Scientific Data and AI Cloud(TM) is the only open, cloud-native platform purpose-built for science that connects lab instruments, informatics software, and data apps across the biopharma value chain and delivers the foundation of harmonized, actionable scientific data necessary to transform raw data into accelerated and improved scientific outcomes. Through the Tetra Partner Network, market-leading vendors access the power of our cloud to help customers maximize the value of their data.
- Website
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https://www.tetrascience.com/
External link for TetraScience
- Industry
- Software Development
- Company size
- 201-500 employees
- Headquarters
- Boston, MA
- Type
- Privately Held
- Founded
- 2019
- Specialties
- Experimental Data and Scientific Discovery
Locations
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Primary
Boston, MA, US
Employees at TetraScience
Updates
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Neither data warehouses nor data lakes are ideal for scientific data. And combining them can create more problems than solutions. Find out how TetraScience's lakehouse architecture delivers the best of both worlds: https://lnkd.in/e5e9g9pV
From warehouse to waterfront: Why scientific data needs the lakehouse lifestyle
tetrascience.com
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Biopharma companies are realizing they've mishandled and underutilized their scientific data. Data connectivity and automation aren't enough. They're moving beyond outdated management strategies to build a foundation for analytics and Scientific AI. Discover the new paradigms in our latest white paper: https://lnkd.in/en5Psqsz
The 8 trends redefining scientific data management in biopharma
tetrascience.com
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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
What Is A Data Product?
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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
Powering dashboards for faster drug discovery
tetrascience.com
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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
Recap: How the cloud and AI are transforming pharmaceutical quality control | TetraScience
tetrascience.com
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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
Our Scientific Data Takeaways From Attending Databricks’ Data+AI Summit
tetrascience.com
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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
Advancing gene therapy development with engineered qPCR data
tetrascience.com
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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
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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