Benchling

Not every partner can move 1.3 TB of data in under a minute across 85+ clusters. Hear from Bola Malek at Baseten and Benchling's Mihir Trivedi about the “insane engineering challenges” they had to solve to make AI work at scale for scientific workloads. Everything we’ve learned about tailoring inference for biotech is built into Benchling Inference, powered by Baseten and available to Benchling customers. Get the details: https://lnkd.in/duuR9Fxx

✨ It’s our first AI Scientist collaboration. See how Prime Medicine, Inc. is using our AI Scientist to help accelerate one of the hardest phases of taking an advanced modality to market: the final CMC push toward a BLA. What would traditionally require months of manual curation and analysis was compressed into days — and it worked because Prime has been capturing every experiment in Benchling since 2022. 👉 Get the details: https://lnkd.in/eYUSfP_c #BenchlingAI

Biotech R&D is generating more scientific AI models than ever, from protein structure prediction to molecular docking to sequence analysis. But the infrastructure to run them hasn't kept up. Today we're announcing Benchling Inference, powered by Baseten. Together with Benchling we're delivering on-demand GPU capacity built for the bursty, high-stakes demands of scientific workloads. With Benchling Inference, scientists can: → Deploy models in seconds, not weeks → Keep proprietary models inside their VPC if needed → Benefit from economics that work even at small and mid-size biotech scale Benchling and Baseten decided to team up because we believe that research teams shouldn't have to manage HPC queues, negotiate cloud contracts, or become GPU experts to run frontier models on their own data. Six years of inference expertise are now available where science happens. Read more here: https://lnkd.in/gj2hpC78

Today we're launching Benchling Inference, powered by Baseten. It’s on-demand GPU capacity, built for bursty scientific workloads. Biotech compute needs are specific: workloads scale to 100,000 predictions in a few hours then drop to zero for weeks, and require sensitive IP controls. We've added the configuration and integrations to make Baseten work out-of-the-box for biotech, preloaded with top scientific models and with cost-effective scale up and down. Baseten is the inference partner for some of the most demanding AI across the tech industry. We've been running Baseten internally for Benchling Model Hub and have learned a lot about tailoring inference for drug discovery. Now we want customers to have the same access. Learn more here: https://lnkd.in/g_RjGwRM

Today we’re announcing Benchling Inference! Together with Baseten, we’re offering scalable, cost-effective inference built for scientific AI. Why? Scientific workloads don’t look like typical AI workloads. Demands come in bursts, with teams needing to run 100,000 predictions for a few hours before going quiet again for days. Most infrastructure wasn’t built for that kind of scale or flexibility. With Benchling Inference, powered by Baseten, R&D teams can: ✔️ Run scientific models without managing infrastructure ✔️ Scale workloads up or down in seconds ✔️ Access cost-effective compute, enabled by aggregating demand We’ve taken everything we’ve learned from running Baseten for Benchling’s Model Hub — the configurations, defaults, and integrations to make inference work out-of-the-box for biotech — so you don’t have to. 👉 Learn more about our end-to-end solution for scalable inference: https://lnkd.in/duuR9Fxx

Today we’re launching Benchling Inference, powered by Baseten. It is scalable GPU capacity, preloaded with today's top scientific models and the integrations to make in silico discovery work out-of-the-box for biopharma companies. It's been a pleasure working with Baseten on this. They've spent six years building at the leading edge of inference and are the compute behind some of the most demanding AI in production. When we started using them internally for our Model Hub, we put them through the paces to make sure they could perform at scale. Now that's available to all our customers. Learn more here: https://lnkd.in/girJtzwk 

🇫🇷 Get a candid view from inside 1,300+ biopharma R&D orgs on 11 June in Paris: what's real, what's hype, and what it takes to build an AI Scientist that actually moves the science forward. Sajith Wickramasekara, founder and CEO of Benchling, is taking the stage at the 4th Annual Paris Digital Science & Innovation Day. His keynote will cover: ⚡ Where AI is delivering in R&D right now ⚡ Why scientific agents haven't scaled the way coding agents have in software ⚡ What it takes to build an AI Scientist that works at the intersection of digital and physical science Speakers from Servier, Sofinnova Partners, Phagos, WhiteLab Genomics, Generare, Orakl Oncology, Cradle, Cognizant, and more will take the stage across four focused sessions: AI in Biopharma, New Modalities & Precision Medicine, Automation & Integration in R&D, and Process Development & Scaling. Don't miss your chance to join 250+ R&D leaders, scientists, and data experts coming together in Paris to shape the next phase of biopharma R&D. 👉 Register today (free): https://lnkd.in/eYFp7TJv #ParisDigitalScienceDay 🇫🇷

Everyone likes to think about partnerships as validation. But Janice Chen, cofounder and CSO at Mammoth Biosciences, thinks about them differently. On #Transcribed, Janice explains how early partnerships can shape a company for years, plus Mammoth’s approach to deals with Regeneron and others. 🎙️ A must-listen conversation for biotech founders and scientists building frontier technologies: https://lnkd.in/ecUMJEtp

📄 Import CRO study reports in minutes with #BenchlingAI. Just ask: “Import this CRO-run nonclinical study report and populate the in vivo animal observation tables with dose group, body weight, and clinical findings.” Try it out today: https://lnkd.in/eR5PVz3R #AIForScientists ✨