At TetraScience, we believe in breaking down silos between R&D, IT informatics, and data teams. Synergy and collaboration are key to driving innovation in Scientific AI. Let’s put scientific stakeholders at the center to ground these efforts and achieve scientific outcomes, faster. Learn what Siping Wang, our Founder and CTO, has to say about breaking down organizational silos: https://lnkd.in/evEW-EVC #AI #Collaboration #Innovation #TetraScience
TetraScience
Software Development
Boston, MA 33,120 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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Lab software used to be for reducing compliance efforts and storing scientific data. Today, labs are moving beyond traditional software solutions to embrace comprehensive scientific platforms that support data management and analysis as well as Scientific AI. As our founder and CTO, Siping Wang, states: “Science will leverage AI to its fullest only by using modern cloud platforms that are vendor-agnostic and let them collect, manage, share, model, and analyze scientific data for high-value use cases." Dive into how platforms are transforming lab operations the full article: https://lnkd.in/e4fVSAAC
From Software to Platforms: Navigating the Shift in Laboratory Informatics
labmanager.com
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A data bottleneck was slowing high-throughput screening at a biopharma. With TetraScience, data searches now take minutes instead of days, and hit selection occurs in days instead of weeks. The upshot is faster drug discovery. Read the case study to learn more: https://lnkd.in/gjY_7-Pa
Powering dashboards for faster drug discovery
tetrascience.com
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Moving data from the lab to the cloud? The first hurdle is network connectivity, which can lead to months of delays. Discover the key lessons we've learned from replatforming data for many of the world's top biopharma companies: https://lnkd.in/eq5kNXGY
Bridging network gaps: Connecting on-premise scientific data to cloud data platforms
tetrascience.com
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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
The 8 trends redefining scientific data management in biopharma
tetrascience.com
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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?
social-www.forbes.com
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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