TetraScience

Too many labs treat chromatography data like it’s destined for cold storage—unsearchable, hard to restore, and useless for analytics. The Tetra Scientific Data and AI Cloud changes that: ✅ Archive from any CDS ✅ Search by project, method, sample set, or injection ✅ Restore on demand ✅ Power analytics, AI, and enterprise-scale workflows This isn’t just backup. It’s the backbone of modern science. Read the blog: https://lnkd.in/ep7C66RM

Is your biopharma organization experiencing a "Scientific Data Crisis" in CMC? You're not alone. The industry faces significant hurdles with document-centric workflows and siloed systems, slowing data sharing and impacting critical trending analysis and AI readiness. Our VP of Scientific Applications, Ken Fountain, recently shed light on this urgent issue in an op-ed in Genetic Engineering & Biotechnology News. The core message? While everyone is eager to embrace AI for drug development, many are overlooking the crucial need to build a robust data foundation first. At TetraScience, we believe in moving to data-centric, automated CMC workflows to significantly reduce timelines, by up to 50%. Imagine a 50% productivity gain and 75% faster dossier creation. Our customers have seen real results: 🔹 A top 10 pharma reclaimed $375K annually by automating chromatography data workflows. 🔹 Alexion, AstraZeneca Rare Disease, cut time-to-insight from a week to a day and reclaimed 5,000 hours annually by automating FPLC workflows. 🔹 A leading biopharma boosted qPCR assay throughput by 6x by transforming manual workflows. These results are achieved by connecting all lab systems to a unified cloud platform, freeing up to 40% of scientists' time spent on manual data entry and review, and ensuring full traceability for GxP compliance. Don't let fragmented data hold back your CMC operations. Read the full article here: https://lnkd.in/ePkGWwzt

🤝 "The industry needs to collaborate much more, treating this as a partnership for humanity and patients, not just a standard customer-vendor relationship. None of us can deliver the final product alone." Our CEO, Patrick Grady, at VivaTech 2025 on why reversing biopharma's economic crisis requires transcending traditional business models. With 20 exabytes of complex data generated annually, solving scientific AI challenges demands that pharma, data infrastructure companies, and AI specialists work together in entirely new ways. See the full panel recap and key insights from VivaTech in our blog post: https://lnkd.in/gYjf4zz6 #VivaTech

🤝 "The industry needs to collaborate much more, treating this as a partnership for humanity and patients, not just a standard customer-vendor relationship. None of us can deliver the final product alone." Our CEO, Patrick Grady, at VivaTech 2025 on why reversing biopharma's economic crisis requires transcending traditional business models. With 20 exabytes of complex data generated annually, solving scientific AI challenges demands that pharma, data infrastructure companies, and AI specialists work together in entirely new ways. See the full panel recap and key insights from VivaTech in our blog post: https://lnkd.in/gYjf4zz6 #VivaTech

Join us for the TetraScience Technical Showcase Series — a set of live, expert-led working sessions built for Scientific IT leaders in biopharma who are ready to automate workflows, scale operations, and build AI-ready lab data environments. 𝗡𝗲𝘅𝘁-𝗚𝗲𝗻 𝗦𝗰𝗶𝗲𝗻𝘁𝗶𝗳𝗶𝗰 𝗗𝗮𝘁𝗮 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁 📅 June 26 | 🕘 9 AM & 1 PM ET Explore how petabytes of data from 1,000+ sources can be replatformed — fast, compliant, and ready for AI — using the world’s largest library of scientific integrations. 𝗟𝗮𝗯 𝗗𝗮𝘁𝗮 𝗪𝗼𝗿𝗸𝗳𝗹𝗼𝘄 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 𝗮𝘁 𝗦𝗰𝗮𝗹𝗲 📅 July 10 | 🕘 9 AM & 1 PM ET Discover how to automate lab data workflows at scale: reduce manual effort, enforce compliance, and support innovation across your scientific tech stack. These aren't webinars — they're technical deep dives, led by the scientists and engineers behind the platform, built to show real use cases and answer your questions. 👉 Reserve your seat now: https://lnkd.in/exaU7Xd3

Siloed systems. Manual workflows. Lost opportunities. CMC teams are stuck managing data instead of driving development, but that's changing. This infographic shows how top biopharmas are transforming fragmented scientific data into a unified, AI-ready foundation—unlocking value across the entire CMC lifecycle: ✅ Cell line development – 70% shorter clone selection and stability studies ✅ Downstream development – 7x faster insights ✅ Method development – Up to 75% fewer out-of-spec events See how data-driven CMC delivers speed, precision, and impact: https://lnkd.in/e_kVwPjc

🌱 “There’s a lot of hope, and a lot of hype, around scientific AI. But the reality is, structural barriers still stand in the way of fulfilling its true potential.” In this clip from last week’s VivaTech conference in Paris, our CEO, Patrick Grady, articulates the core of TetraScience’s mission: We believe that scientific AI can transform the entire biopharma value chain only if we solve the real obstacle: data readiness. It’s not about how much data we have, but whether it’s prepared, organized, and accessible for AI to work its magic. As Patrick shares, 80% of top pharma leaders cite data readiness as the #1 challenge to achieving scientific AI (McKinsey, 2025). Until we address these foundational issues, the promise of scientific AI will remain just that, a promise. At TetraScience, we’re committed to breaking down these barriers and making the vision of scientific AI a reality. Watch the clip to hear Patrick’s perspective, and join us as we turn hope into progress. Read the full recap with insights from #VivaTech2025 here: https://lnkd.in/gYjf4zz6

𝗝𝗼𝗶𝗻 𝘂𝘀 𝗳𝗼𝗿 𝘁𝗵𝗲 𝗧𝗲𝘁𝗿𝗮𝗦𝗰𝗶𝗲𝗻𝗰𝗲 𝗧𝗲𝗰𝗵𝗻𝗶𝗰𝗮𝗹 𝗦𝗵𝗼𝘄𝗰𝗮𝘀𝗲 𝗦𝗲𝗿𝗶𝗲𝘀: live, expert-led working sessions designed for Scientific IT teams in biopharma who are ready to automate workflows, scale operations, and build AI-ready lab data environments. 𝗡𝗲𝘅𝘁-𝗚𝗲𝗻 𝗦𝗰𝗶𝗲𝗻𝘁𝗶𝗳𝗶𝗰 𝗗𝗮𝘁𝗮 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁 June 26 | 9 AM ET & 1 PM ET See how the world’s largest library of scientific integrations helps you replatform petabytes of data from 1,000+ sources—fast, compliant, and AI-ready. 𝗟𝗮𝗯 𝗗𝗮𝘁𝗮 𝗪𝗼𝗿𝗸𝗳𝗹𝗼𝘄 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 𝗮𝘁 𝗦𝗰𝗮𝗹𝗲 July 10 | 9 AM ET & 1 PM ET Learn how to design, deploy, and scale lab data automation workflows that eliminate manual steps, ensure compliance, and support innovation across your scientific tech stack. These are not webinars. They’re live, technical sessions led by our scientists and engineers — built to answer your questions and dive into real use cases. Reserve your spot now: https://lnkd.in/exaU7Xd3

Say goodbye to disconnected systems and manual data transfers. In this demo, we show how the Tetra Scientific Data and AI Cloud enables automated, bidirectional workflows between your ELN and CDS. The best part? This approach is vendor-agnostic and can be applied across your entire lab data ecosystem — including ELNs, LIMS, and other CDS platforms. Watch the video demo: https://lnkd.in/eZcj5FEV See how to transform your lab data workflows with TetraScience: https://lnkd.in/eV5ifjwq

🧪 It's great to see TetraScience's chromatography expertise featured in Drug Discovery News! Our Scientific Business Analyst, Anthony Edge, breaks down why unified data platforms are transforming pharmaceutical R&D — and how our Chromatography Insights app is leading the way. Chromatography Insights is the industry's first universal chromatography dashboard, working across all major CDSs, to deliver real-time analytics and predictive capabilities at an enterprise scale. Key insights from the piece: → Chromatography generates 50%+ of all biopharma analytical data → Data silos are the #1 barrier to Scientific AI implementation → The TetraScience platform delivers 75% reduction in out-of-spec events → The future: autonomous, AI-driven chromatographic systems "The real power will come from seamlessly integrating chromatography data with other OMICS, imaging, and clinical data, then applying AI to build predictive models for drug efficacy, safety, or manufacturability," says Tony. Read the full Q&A: https://lnkd.in/eTtdvAE5 Learn more about our Chromatography Insights app: https://lnkd.in/gZrqXqmS