TetraScience

Major congratulations to members of Team Tetra on their promotions to new positions! Your competence, conviction, character, and collaboration shine through everything you do. Here's to your continued success! 🌟 Claudio Staub, Data Engineer III Yang Cao, Data Engineer III Adam Franklin, Senior Technical Product Manager Dave Costello, Principal Technical Writer

🌟 Join us for a new product showcase: Solving Chromatography Data Challenges Using Advanced Analytics and AI 🌟 hosted by Anthony Edge, Kevin McCormick and Rashi Takkar. Discover how the Chromatography Insights Dashboard 𝗰𝗲𝗻𝘁𝗿𝗮𝗹𝗶𝘇𝗲𝘀 𝗱𝗮𝘁𝗮 𝗳𝗿𝗼𝗺 𝗮𝗹𝗹 𝗖𝗗𝗦𝘀 𝗮𝗰𝗿𝗼𝘀𝘀 𝗮𝗻 𝗼𝗿𝗴𝗮𝗻𝗶𝘇𝗮𝘁𝗶𝗼𝗻, providing near real-time visibility into method, instrument, and column performance. 𝗗𝗲𝘁𝗲𝗰𝘁 𝗼𝘂𝘁-𝗼𝗳-𝘀𝗽𝗲𝗰 𝗿𝗲𝘀𝘂𝗹𝘁𝘀 𝗲𝗮𝗿𝗹𝗶𝗲𝗿, preventing deviations and accelerating batch release. See firsthand how this tool can improve process control and streamline stability studies. 🗓️ Date: November 13, 2024 ⏰ Time: 9am PT / 12pm ET Don’t miss out on this opportunity to see how top biopharmas are harnessing the power of AI and advanced analytics for smarter, faster decisions. Register now: https://lnkd.in/epMMg93f #Chromatography #Analytics #AI #Biopharma #DataSolutions #Webinar

Happy 110th Birthday to the man who helped us separate molecules from mixtures! Today we celebrate Richard Synge, the brilliant English chemist who revolutionized how we analyze complex chemical compounds. His Nobel Prize-winning work on partition chromatography in 1952 might sound complex, but every time you... ✔️ Get a medical test ✔️ Drink a craft beer ✔️ Take a safe medication ...you can thank Synge and his pioneering separation techniques. Fun fact: Synge was just 37 when he won the Nobel Prize, proving that groundbreaking science has no age limit! Our favorite Synge quote: "𝗧𝗵𝗲 𝗰𝗵𝗲𝗺𝗶𝘀𝘁 𝘄𝗵𝗼 𝘄𝗶𝘀𝗵𝗲𝘀 𝘁𝗼 𝘀𝘁𝘂𝗱𝘆 𝗮 𝗺𝗶𝘅𝘁𝘂𝗿𝗲 𝗺𝘂𝘀𝘁 𝗳𝗶𝗿𝘀𝘁 𝗽𝗲𝗿𝗳𝗼𝗿𝗺 𝗮 𝘀𝗲𝗽𝗮𝗿𝗮𝘁𝗶𝗼𝗻." Simple yet profound - much like the elegant principles behind chromatography itself. #Chemistry #Innovation #Science #NobelPrize #Chromatography

Scientists should be advancing breakthroughs, not wrestling with data. Yet 𝘀𝗶𝘅 𝗼𝘂𝘁 𝗼𝗳 𝘁𝗲𝗻 scientists and biopharma engineers 𝘀𝗽𝗲𝗻𝗱 𝗻𝗲𝗮𝗿𝗹𝘆 𝗵𝗮𝗹𝗳 𝘁𝗵𝗲𝗶𝗿 𝘁𝗶𝗺𝗲 just collecting and transferring data between fragmented systems. That's valuable time taken away from actual scientific discovery. This isn't just a productivity 🔴, it's an unnecessary roadblock to innovation. When data is trapped in thousands of silos across biopharma organizations, it becomes nearly impossible to extract meaningful insights or create sizable enough datasets to use AI/ML to accelerate breakthrough discoveries. At TetraScience, we're changing this story. We help scientific teams liberate their data, streamline workflows, and get back to what matters most: advancing life-changing scientific outcomes. Ready to transform how your team manages scientific data? Tell us what your challenge is and let's talk: https://lnkd.in/etG6kkXQ #DataManagement #Biopharma #LifeSciences

A biotech company uses HTS data and AI to get a headstart on drug development. But collecting and preparing this data was a nightmare for scientists. Partnering with TetraScience, the company overhauled its workflow. Now, compiling AI-ready datasets is faster, easier, and more reliable—allowing scientists to focus on science, not data prep. Read the case study to learn more: https://lnkd.in/erbBwhGq

🌟 𝗦𝗰𝗶𝗯𝗼𝗿𝗴 𝗦𝗽𝗼𝘁𝗹𝗶𝗴𝗵𝘁 🔬 Our team of Sciborgs combine deep expertise in both science and data to accelerate innovation and outcomes in life sciences organizations. Today, we’re excited to spotlight Shivani Ludwig, Scientific Business Analyst at TetraScience and one of our brilliant Sciborgs, as she shares the scientist who inspires her the most. “𝗦𝗵𝗶𝘃𝗮𝗻𝗶, 𝘄𝗵𝗶𝗰𝗵 𝘀𝗰𝗶𝗲𝗻𝘁𝗶𝘀𝘁 𝗶𝗻𝘀𝗽𝗶𝗿𝗲𝘀 𝘆𝗼𝘂 𝘁𝗵𝗲 𝗺𝗼𝘀𝘁 - 𝗮𝗻𝗱 𝘄𝗵𝘆?” 𝗦𝗵𝗶𝘃𝗮𝗻𝗶: Dr. Frances Arnold. She inspires me for her groundbreaking contributions to bioengineering and her tenacity, mentorship, and storytelling abilities. As a synthetic biologist, I sincerely appreciate how she combines her engineering mindset with respect for what nature already offers to pioneer the powerful tool of directed evolution. She has applied this to biofuels, pharmaceuticals, crop sciences, and more, demonstrating how a singular focus mixed with creativity can yield a wide-ranging impact. She’s also a powerful speaker, showing how even complex science can be a compelling story and one that should be told beyond academia. I’m continually amazed by her leadership in science and entrepreneurship. 𝗟𝗲𝗮𝗿𝗻 𝗺𝗼𝗿𝗲 𝗮𝗯𝗼𝘂𝘁 𝗦𝗰𝗶𝗯𝗼𝗿𝗴𝘀 𝗵𝗲𝗿𝗲: https://lnkd.in/gwMsYQQx #LifeSciences #SyntheticBiology #Science #Innovation #Sciborgs

High-content imaging offers powerful insights, but data prep can be a headache. That was the case for bioengineers using Agilent's BioTek Gen5 system—until they deployed the Tetra Scientific Data and AI Cloud. The results: ✔️ Screening throughput up 35% ✔️ Hands-on time down 75% ✔️ Data processing time cut by 50% ✔️ Higher-fidelity, AI-ready datasets Read the full story: https://lnkd.in/gNySqGTt

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.)

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

Siping Wang shared key learnings of how to overcome the challenges in #ScientificAI One of them, leveraging #Sciborgs - experts in science and technology - did truly resonate with the audience and the chair at #BioTechX Alexander Krupp Come to our booth #1123 to learn more!