Announcing Chai × @BMSnews. BMS has spent decades developing medicines for patients with serious diseases. Now it will leverage Chai's AI models to support future discoveries, unlocking challenging targets and compressing the timeline from drug concept to candidate.
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AI in drug discovery isn't just a speed play. It unlocks new therapeutic strategies once out of reach. At the CDD & AI for Biologics Summit today, Chai’s Ryan Peckner will share how Chai’s latest models can design precise, novel antibodies for hard targets: cdd-ai-biologics.com/speaker…
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Announcing Chai × @BMSnews. BMS has spent decades developing medicines for patients with serious diseases. Now it will leverage Chai's AI models to support future discoveries, unlocking challenging targets and compressing the timeline from drug concept to candidate.
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Tune in to @latentspacepod to hear @Mattmcpartlon1 and @realdealpatil talk about the transformational moment bio AI is going through, and why you don't need a background in biology to make an impact in the space.
Chai Discovery's BioAI Phase Shift: Chai-3, Photoshop for Molecules, One-Shot Drug Design, & Engineering Biology latent.space/p/chai-discover… @chaidiscovery cofounder @Mattmcpartlon1 and product lead @realdealpatil explain why AI drug design has crossed the threshold from impressive demos to pharma-trusted tools, how Chai-2 and Chai-3 are pushing toward one-shot therapeutic-grade molecules, how Chai’s CAD-like design suite lets scientists precisely engineer antibodies and binding sites, why faster model-to-lab feedback loops could turn pharma’s waterfall discovery process into an iterative loop, and how better models, validation, compute, and infrastructure are turning biology from trial-and-error science into an engineering discipline.
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We started Chai with a mission to enable the next generation of breakthrough medicines. Hear our co-founders @joshim5 and @Mattmcpartlon1 talk to @gradypb on @sequoia's Training Data to talk about the future of AI drug design. Full episode below.
To date, finding a drug has been a process of guess & check… screening millions of molecules hoping one binds. @chaidiscovery is changing the paradigm… describe the molecule you want, and the model designs it. @joshim5 and @Mattmcpartlon1 took antibody hit rates from roughly 1 in 1,000 to 1 in 7. That's the jump from search to engineering. On this episode of Training Data, they get into where the field actually is, why 2024 was the moment to start, what drug discovery looks like when the computer does the design, and more. 00:00 Introduction 01:52 From Discovery to Design 03:25 Protein AI Breakthroughs Timeline 06:04 Why Start in 2024 10:13 Diffusion Models Intuition 11:41 Building the Avengers Team 15:22 Hit Rates and Scaling Laws 25:01 Molecular CAD Vision 25:24 Faster Design Loops 26:32 Future Drug Discovery 28:37 Platform Business Model 31:14 Partnering Reality Check 33:44 Data Flywheel Explained 37:16 Staying Ahead at Scale 39:44 Culture and What's Next
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We’re delighted to announce our third agreement this week, this time a collaboration with @argenxglobal. argenx has built one of biotechnology’s most productive antibody engines. We’ll be putting Chai’s frontier molecular design platform into the hands of their scientists.
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It’s been a landmark few days for Chai Discovery. From announcing our $400M Series C funding round and our collaboration with @Novartis, to working with argenx, the pace towards better drug design is faster than ever.
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We’ve raised $400M at a $3.8B valuation to further advance AI-driven molecular design. The round was led by @IndexVentures, alongside @KleinerPerkins, @Sequoia, @_DimensionCap, and others.
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Our investors share our conviction in the opportunity ahead: medicines designed with the precision, speed, and scale of modern engineering.
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We’re delighted to announce our collaboration with @Novartis. Building on a year-long technical engagement, we’re expanding our collaboration with Novartis to support broader deployment of our technology across multiple therapeutic programs. Novartis will gain access to our latest models for prediction and design, including Chai-3.
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We’re delighted to announce a collaboration with @pfizer to accelerate their drug discovery efforts. Pfizer will deploy our latest frontier AI model Chai-3 and a custom model leveraging Pfizer's proprietary data and tailored to their workflows. Chai-3 shows step-change improvements in AI-driven antibody design, doubling the success rate of its predecessor model and producing antibodies that meet required therapeutic standards. Our goal is a world where new medicines are not found through trial and error, but designed with the precision, speed and scale of modern engineering.
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Thank you to Forbes for the recognition!
2026 #ForbesAI50 Artificial intelligence has become part of our lives, increasingly core to how we work, search for information and express ideas. In the last year, the startups spearheading this paradigm shift have raised gobs of money from venture firms to build applications used by hundreds of millions of people across professions like law, software engineering, banking and even music. Three years into the AI frenzy, startups are starting to prove they can turn lofty ideas into sustainable businesses. That’s evident in Forbes’ eighth annual AI 50 list, which spotlights the most promising privately-held AI companies in the world. See the list: forbes.com/lists/ai50/?utm_c… Illustration by Yoshi Sodeoka for Forbes Sponsoring Partner @MayfieldFund
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We are scaling fast and hiring for multiple roles across product, engineering, business, and science. If you are a motivated self-starter, please reach out via chaidiscovery.com/careers
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Chai Discovery retweeted
There are only a few other areas where AI has the potential to change lives more than the discovery and development of new medicines to improve lives for patients. We thank @jackdent and @BenjamineYLiu for this discussion about how America needs to continue to lead in biopharma R&D and harness AI to accelerate treatments and cures.
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