TetraScience

TetraScience

Software Development

Boston, MA 37,487 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.

Industry
Software Development
Company size
201-500 employees
Headquarters
Boston, MA
Type
Privately Held
Founded
2019
Specialties
Experimental Data and Scientific Discovery

Locations

Employees at TetraScience

Updates

  • View organization page for TetraScience, graphic

    37,487 followers

    We left #BioTechX in Basel energized by the many face-to-face conversations we had with customers and industry colleagues in the life sciences. We also left well-fed from our leadership dinner with our partners at Databricks. Three of the conference's big themes for us: 1. 𝗔 𝗿𝗼𝗯𝘂𝘀𝘁 𝗱𝗮𝘁𝗮 𝗳𝗼𝘂𝗻𝗱𝗮𝘁𝗶𝗼𝗻 𝗶𝘀 𝗰𝗿𝗶𝘁𝗶𝗰𝗮𝗹 𝘁𝗼 𝗴𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝗻𝗴 𝗺𝗲𝗮𝗻𝗶𝗻𝗴𝗳𝘂𝗹 𝘀𝗰𝗶𝗲𝗻𝘁𝗶𝗳𝗶𝗰 𝗮𝗻𝗱 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗼𝘂𝘁𝗰𝗼𝗺𝗲𝘀, but many organizations still lack that foundation. The progress we and our partners are making to industrialize scientific data and AI will go a long way toward helping the industry bridge the “data utility gap.” 2. AI is transitioning along the familiar hype cycle from the peak of inflated expectations to the trough of disillusionment. Getting by on vibes and cool demos won’t cut it anymore. 𝗔𝗜 𝘂𝘀𝗲 𝗰𝗮𝘀𝗲𝘀 𝗺𝘂𝘀𝘁 𝗯𝗲 𝗯𝘂𝗶𝗹𝘁 𝘄𝗶𝘁𝗵 𝗮 𝗽𝗿𝗼𝗱𝘂𝗰𝘁 𝗺𝗲𝗻𝘁𝗮𝗹𝗶𝘁𝘆, focused on utility and repeatability, and quickly move from demo to production. The slope of enlightenment is next. 3. Beyond the impact AI is having on accelerating drug development (i.e., failing earlier), 𝗽𝗿𝗮𝗰𝘁𝗶𝘁𝗶𝗼𝗻𝗲𝗿𝘀 𝗮𝗿𝗲 𝗯𝗲𝗴𝗶𝗻𝗻𝗶𝗻𝗴 𝘁𝗼 𝗳𝗶𝗴𝘂𝗿𝗲 𝗼𝘂𝘁 𝘄𝗮𝘆𝘀 𝘁𝗼 𝘂𝘀𝗲 𝗔𝗜 𝘁𝗼 𝗶𝗺𝗽𝗿𝗼𝘃𝗲 𝗱𝗿𝘂𝗴𝘀 (i.e., enhancing their quality). We’re excited to follow that trend. Some highlights from the “overheard” file: “Future leaders in our industry will live at the intersection of science, data, and business outcomes. We call them Sciborgs.” - our co-founder Siping Wang during his rousing keynote “Hiding all the complexity of instrument integration and accelerating data onboarding are the multibillion-dollar problems in our industry.” - an exec at a global crop sciences firm “AI is today – who doesn‘t leverage it now will be left behind” - Patrick Moeller, CIO, Bayer “Giving data scientists access to deep scientific data is a long overdue step forward for the industry.” Michael Sanky, Global Industry Lead for Healthcare & Life Sciences at Databricks “We’re excited to hear how you can help us capture bioprocess data from different instruments and harmonize it into a single dashboard.” - a data science leader for a global pharma “There is no AI strategy without a data strategy.” - Alistair Hankin, Industry Principal, Life Sciences, Snowflake [on the flip side] “AI washing” became an issue in the industry.” - Venkatesh Moktali, PhD, Director of Product Management, Qiagen. (AI washing = slapping the AI name on all your products without having the capabilities for it.)

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  • View organization page for TetraScience, graphic

    37,487 followers

    Imagine a world where all your CMC data flows effortlessly across your organization—free from siloed systems and proprietary formats. This isn't a distant dream—it's the transformative power of liquid data. In our recent webinar, "𝗧𝗵𝗲 𝗣𝗼𝘄𝗲𝗿 𝗼𝗳 𝗟𝗶𝗾𝘂𝗶𝗱 𝗗𝗮𝘁𝗮 𝗶𝗻 𝗕𝗶𝗼𝗽𝗵𝗮𝗿𝗺𝗮 𝗖𝗠𝗖 𝗪𝗼𝗿𝗸𝗳𝗹𝗼𝘄𝘀," industry experts shared insights that challenge our traditional approaches to data management. From small molecules to complex biologics to cell and gene therapies, the need for a shift in CMC data handling is more urgent than ever. Missed the live session? The recording is now available 𝗼𝗻-𝗱𝗲𝗺𝗮𝗻𝗱. Don’t miss out on the key insights that could accelerate your CMC workflows and reshape the future of drug development. Watch the webinar recording here: https://lnkd.in/gyiEBuKx Read the full recap in our latest blog post: https://lnkd.in/gTxTDtDt

    Harnessing the Power of Liquid Data: Transforming CMC Workflows for Biopharma Innovation

    Harnessing the Power of Liquid Data: Transforming CMC Workflows for Biopharma Innovation

    tetrascience.com

  • View organization page for TetraScience, graphic

    37,487 followers

    Don't miss an exciting keynote presentation from our co-founder and CTO, Siping Wang at BioTechX Europe this morning! Spin takes the stage at 9:40am CET. In the keynote presentation, Spin will explore how to close the AI data gap and unlock the full potential of Scientific AI in life sciences. 💬 Let’s connect after the presentation! Visit us at booth #1123 to meet with our team and discuss how we can help you drive AI innovation. 👉 Book a meeting with Spin at the event: https://lnkd.in/emHUMYdu #BioTechXEurope #LifeSciences #AIinBiopharma #DataTransformation

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  • View organization page for TetraScience, graphic

    37,487 followers

    Exciting news! Our co-founder and CTO, Siping Wang, will be keynoting at BioTechX Europe! Join us on October 10 at 9:40am CET to explore how to close the AI data gap and unlock the full potential of Scientific AI in life sciences. 📍 Be sure to visit TetraScience at booth #1123 to connect with our team and explore the latest innovations with the Tetra Scientific Data and AI Cloud. 👉 Learn more, and book a meeting with Spin at the event: https://lnkd.in/emHUMYdu #BioTechXEurope #LifeSciences #AIinBiopharma #DataTransformation

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Funding

TetraScience 8 total rounds

Last Round

Series B

US$ 80.0M

See more info on crunchbase