Benchling

What does it mean to be on #TeamScience? Find out what Benchlings have to say about our mission and culture — and above all, why we’re so passionate about helping scientists power new possibilities for humanity. youtu.be/KiBmXAGoMgU

✨ @mammothbiosci cut hours of preclinical data entry down to minutes with #BenchlingAI. What used to require writing custom Jupyter notebooks to ingest Excel files from CROs now takes 10 minutes and natural language prompts — no code needed. #BuiltOnBenchling #AIForScientists

At @lifeschemistry, non-clinical reports used to take weeks. With #BenchlingAI, teams can now generate draft reports in a day — directly from experimental records. ✔️ Drafts 400% faster ✔️ One reporting workflow across US + India teams ✔️ Data stays secure (no exporting) How they did it 👉 benchling.com/blog/enveda-re… #BuiltOnBenchling #AIForScientists

"The centrifuge was run at 5000 rpm for five minutes, with a stuffed cow placed on top to keep it happy." 🐮 Don’t worry, you’re not the only one who does it. reddit.com/r/labrats/comm… Happy #Fridaythe13th to the most logical yet superstitious people we know: scientists!

Which lab superstitions are you guilty of? 👻🧪 #Fridaythe13th #LabLife

How do you attract top #AI talent to biotech? @ManifoldBio CEO @glebkuz says it’s simple: work on problems that matter. Few domains let you generate hypotheses computationally, test them at scale, and ultimately impact human health. On #Transcribed, Gleb explains why biology is uniquely compelling for serious AI builders.

🎙️ Watch the full conversation. benchling.com/transcribed/ni…

How does a biotech reach the clinic with just six people? @SirenBio founder @Nicole_Paulk is doing it — and argues this isn’t an edge case, but the direction the entire industry needs to move. On #Transcribed, Nicole talks about brutal capital efficiency, outsourcing everything non-essential, and why every biotech startup should be writing grants.

⏱️ From two years to four months. That's how much @IFF compressed their protein redesign and manufacturing scale-up timeline, enabled by #AI-ready data and infrastructure. R&D leaders from @IFF and @moderna_tx shared what it actually takes to scale AI-ready data across global R&D organizations. Their honest take: We're not planning ten years out. We're just trying to do the right thing now. benchling.com/blog/moderna-a…

🎙️ Watch the full conversation. benchling.com/transcribed/gl…

#AI can generate millions of drug candidates. But if you can only test a handful in vivo, you’d still hit a bottleneck. @ManifoldBio CEO @glebkuz explains how screening hundreds of thousands of antibody designs per animal (including 587,000 in a single non-human primate) changes what’s possible in drug discovery. On #Transcribed, he talks about the “dark art of multiplexing,” AI, and how the intersection of these technologies is redefining what “scale” means in biology.

Biotech’s first #AI wins came from copilots — the next wave is semi-autonomous, closed loop R&D. 🌊 See what AI leaders are investing in to speed up design-build-test cycles. benchling.com/biotech-ai-rep… #BiotechAIReport

Congratulations @Nicole_Paulk and the entire @SirenBio team! 👏 🎙️ Get the story behind Siren's start: benchling.com/transcribed/ni… #Transcribed

@SirenBio @Nicole_Paulk 🎙️ Watch the full conversation. benchling.com/transcribed/ni…

“@SirenBio wouldn’t have been here if not for COVID.” When @Nicole_Paulk’s lab couldn’t work in person during the pandemic, she didn’t let that stop her. She left academia and founded a company in a matter of weeks: raising $6M, moving into an incubator, and keeping the science alive. On #Transcribed, Nicole shares how she turned frustration into momentum, and why we need to move fast in today’s market.

🤯 Plotting is here in #BenchlingAI! No more custom scripts or manual formatting. Just tell our Deep Research agent what you need, and get a publication-ready graph, directly in Benchling. Watch Benchling engineer @nlarusstone demo how to generate plots from your data in minutes. #AIForScientists

As an enterprise company grows so does it product surface area and customers' expectations of its developer platform. Learn how @benchling approached this pivot by rearchitecting how its application features and platform capabilities relate.

As a platform grows, a familiar problem emerges: every new data type has to be manually integrated with every platform capability, and vice versa. Cost, gaps, and drift are real problems that only deepen as the product surface area expands. How did we solve for this? Benchling engineer @teleturn shares how we re-architected the platform so new capabilities like APIs just work automatically across objects. 🔎 Get the details: benchling.engineering/fragmentation-…

Does your Thursday need some #biotech and #GeneTherapy hot takes? Of course it does. Enjoy! 🔥

🎙️ Watch the full conversation. benchling.com/transcribed/ni…

What if gene therapy didn’t have to be bespoke? @Nicole_Paulk, founder and CEO of @SirenBio, is challenging the status quo with a radical idea: universal gene therapies. On #Transcribed with @sajithw, she talks unpopular ideas, launching a company in weeks, and why biotech’s speed + cost structure must change by whole-digit orders of magnitude.