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QbDVision
- qbdvision.com
- Software Development
- US
- 70 employees
QbDVision’s ads on LinkedIn, Meta and Google, recorded by adsrunning. Browse the latest here for free. Sign up free to see all 34. Watch QbDVision with Starter to get each new one in your feed.
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| Network | Status | Live ads | Nov 2025LinkedIn activity · 52 weeksNov 2026 | Checked | Next step |
|---|---|---|---|---|---|
| None recorded | 0 | Checked 1 Nov 2026 | See all 34 ads → | ||
| Meta | Not checked | — | |||
| Recently | 35 | Ads on the Google Ads Transparency Center | Checked 7 Oct 2026 | Collect them with the API → |
QbDVision has no live LinkedIn ads. We recorded 35 Google ads on 7 Oct 2026.
Latest ads
- LINKEDIN · VIDEOSince 28 Oct 2026
Your AI gave you the right answer. But did it give you the whole answer? In pharma, missing one critical process parameter or supporting study can change everything, yet most AI benchmarks don't measure what matters most in CMC. So how do you know if your AI is actually reliable? Our QbDVision team went beyond generic benchmarks to measure the performance of our own AI, Qurio, against real CMC tasks and expert-verified ground truth. 🎥 Jack Morel breaks down why this matters. Read the article here: https://lnkd.in/gFJNdtq5 #PharmaAI #DigitalCMC #AIBenchmarksForPharma
- LINKEDIN · IMAGESince 22 Sept 2026
What does it actually take to build scalable AI for CMC? AI only works when information is structured and contextualized. But in CMC, critical knowledge is still largely locked in PDFs, spreadsheets, and disconnected systems. That’s why we’re building differently. QbDVision provides the structured Digital CMC foundation, while Amazon Web Services (AWS) and Amazon Bedrock provide the secure, scalable infrastructure helping us turn that foundation into AI capabilities designed for regulated CMC. And trust requires more than good outputs. It requires AI that can be measured, evaluated, and governed. With performance grounded in the CMC data and context behind every result. In a new article from AWS, our team shares how we’re using AWS and Amazon Bedrock to make this vision a reality. 👉 Read the AWS story: https://lnkd.in/e6ysQFWk 👉 Explore AI at QbDVision: https://lnkd.in/eyvCXmPf #DigitalCMC #AIforCMC #LifeSciences #Pharma #AWSPartner
- LINKEDIN · IMAGESince 9 May 2026
Leading gene therapy CDMO Viralgen partnered with QbDVision to cut sponsor onboarding timelines by standardizing data and consolidating platform knowledge. Learn how in Cell & Gene’s new white paper.
- LINKEDIN · VIDEOSince 16 Apr 2026
Ever feel like your tech transfer process is stuck in the 1400s? Resistance to change isn’t anything new. But don’t let your love of quills hold you back. Digital Tech Transfer in QbDVision eliminates up to 80% of tech transfer-related meetings and up to 100% of scrolls. Ready for your own historic transformation? Go digital: https://lnkd.in/gbvxnB5C #HistoricallyBadTakes #QbDVision #DigitalCMC #DocFreePharma
- LINKEDIN · IMAGESince 19 Mar 2026
The FDA is going all-in on AI. But they're also raising the bar on how CMC teams prove their models actually know what they're talking about. GenAI won't deliver regulatory-ready outputs by chewing through unstructured data lakes. It needs structured, traceable CMC knowledge — and the FDA's latest guidance makes that clear. Our latest blog post breaks down what "knowledge-first AI" really means for CMC, and why the foundation you build today determines whether AI works for you tomorrow.
- LINKEDIN · IMAGESince 18 Mar 2026
How did Viralgen utilize QbDVision to transform their CDMO partner onboarding process and cut tech transfer timelines from 6-12 months to 3 months? Find out in our latest case study. What’s inside: • How using a pre-built process platform and structured QTPP and CQA templates compressed timelines without compromising quality • How QbDVision became the single source of truth that enabled real-time collaboration and alignment between stakeholders • Why this shift from a document-centric approach to a knowledge-centric model sets a new standard for CDMO partnerships
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