Ginkgo Bioworks
@Ginkgo
The organism company. $DNA
Cell-free protein synthesis systems, optimized at Ginkgo and now available to you! Ginkgo has been using cell-fee protein synthesis systems in house for years, and we’re now making our E. coli system available to outside users! We’ve optimized it for: • High production from…
We’re excited to launch a powerful new capability at Ginkgo Datapoints: high-throughput, low-cost ADME profiling—optimized for machine learning from day one. Whether you’re prioritizing small molecules or training predictive models, early access to rich ADME data can…
Join us on @YouTube for our Q1 2025 Update & Business Review call at 5:30pm Eastern here: youtube.com/live/zQAUR5ulo… If you'd like your question answered during our Q&A, please tag your X post with #GinkgoResults or e-mail our investor inbox (investors@)!
Join us down in the Boston Seaport this Thursday, May 1 for Engineering Biology Club! This month: "Principles for introducing new genes and species for conservation" with Sebastian Kamau of the MIT Media Lab hubs.la/Q03k5HnH0

Join us May 1st at Engineering Biology Club! This month: "Principles for introducing new genes and species for conservation" by Sebastian Kamau of the MIT Media Lab. Register here to attend 👇 hubs.la/Q03j7bbl0

Boston Locals - Join us this Thursday (April 3rd) for Engineering Biology Club! A monthly meetup for anyone interested in building with biology. Sign up here to attend hubs.la/Q03fD5040

Boston friends! Join us the evening of Thursday, April 3rd for the Engineering Biology Club to connect with other folks in the ecosystem who are building with biology. hubs.la/Q03d9bVK0

Excited to connect the latest frontier AI reasoning models to lab automation so that we can see scientific copilots like the coding copilots! We will have Ginkgo Bioworks, Inc.’s modular lab automation at @nvidia GTC — sign up below for a demo of our hardware to see how you can…
AI in biology has a wet lab bottleneck. We solved it with our automated lab-in-the-loop system. 📍Demo our RAC automation platform at NVIDIA GTC and see how AI models can: - Design experiments - Run them autonomously - Learn from physical results 🔗 Reserve your spot:…
AI in biology has a wet lab bottleneck. We solved it with our automated lab-in-the-loop system. 📍Demo our RAC automation platform at NVIDIA GTC and see how AI models can: - Design experiments - Run them autonomously - Learn from physical results 🔗 Reserve your spot:…

Synthetic biologists have long been obsessed with what it will look like to do "real" engineering with biology. What if AI shows us that engineering could look more biological? On cybernetics, generative genomes, and symbiotic machines....
your on-ramp to the data generation superhighway: automation.ginkgo.bio
This is why your lab automation sucks
Engineering Biology Club is where everybody wants to hear about the cool biotech stuff you're working on It's like the Cheers bar except for biotech instead of beer (we do also have beer) Register now for tomorrow night (March 6) ginkgo.bio/events/enginee…
Excited to launch @Ginkgo’s new RNA data generation service ! Link below to download datasets of 1000s of RNA designs measured for stability and translation efficiency. Download them and try it out for your ML / AI work !
What could you discover with mRNA stability and translation data from tens of thousands of designs generated in one experiment? Public datasets have limits. Generating high-quality, relevant data at scale is time-consuming and resource-intensive. With Ginkgo’s mRNA Data…
GLP-1 drugs are most important consumer product since the iPhone
This Thursday, March 6th @ 5:30! Join us at our event space in the Boston Seaport for drinks, talks and networking with people from around the biotech scene. hubs.la/Q0390g5D0

What could you discover with mRNA stability and translation data from tens of thousands of designs generated in one experiment? Public datasets have limits. Generating high-quality, relevant data at scale is time-consuming and resource-intensive. With Ginkgo’s mRNA Data…

We choose to go to the moon in this decade and do the other things, not because they are easy, but because they are hard, because space whales aren't going to evolve themselves, because that challenge is one that we are willing to accept... and one which we intend to win
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