🎉Check out the genomic language model (gLM) paper hot off the press in Nature Communications, authored by our co-founders!🎉 Our team has been iterating and validating gLMs since this version. More updates coming soon! nature.com/articles/s4146…

📢Tatta Bio is hiring🧬 We are growing our ML team. Learn more about our open positions at tatta.bio/careers. If you are excited to learn, discover and build at the intersection of machine learning and biology, please apply!

We are thrilled to make the OMG dataset and gLM2 models available for the research community! Check out our latest preprint at tatta.bio/omg (BioRxiv link coming soon)

Search your favorite protein sequences with Gaia🌎! We are excited to release a context-aware protein search tool, extending search and discovery capabilities beyond sequence and structure, to include *genomic context* gaia.tatta.bio 1/🧵

Thrilled to share that Tatta Bio has received the AIxBTO award from DARPA! This award will catalyze novel biomanufacturing applications for genomic language models. Kudos to DARPA BTO for massively accelerating the grant process. We are so excited to continue working on hard

🚨New feature alert! Gaia Agent🤖 predicts functions of previously unannotated proteins. Check it out at gaia.tatta.bio

Can LLM agents discover novel protein functions? Introducing Gaia Agent 🌎 🤖: an AI biologist capable of reasoning across genomic contexts to predict functions of proteins! Gaia Agent is now integrated with Gaia Search at gaia.tatta.bio

OMG/gLM2 has been accepted at #ICLR2025 🎆🎉

We are hiring *two positions* in Business Development and Software Engineering to lead the development of AI-enabled scientific software for open science and biological sequence interpretation. Check out our openings at: tatta.bio/careers

Check out our blogpost on why today's sequence data infrastructure is set up for failure in the age of AI and how we are building an open and collaborative sequence platform for both Human and AI scientists. tattabio.substack.com/p/todays-seque…

We were thrilled to see our co-founder Yunha Hwang speak at BBM Meeting yesterday on a panel about how AI is reshaping biological research. Thank you to the BBM team for putting together such a thoughtful event! One clear takeaway: there’s a real sense of

We are thrilled to announce our new publication in Science Advances: Gaia, an AI-powered protein search platform that brings genomic context into functional annotation. science.org/doi/10.1126/sc… Gaia enables rapid, scalable discovery of remote homologs across 131,000+ genomes —

We’re opening the waitlist to the first 50 signups! Gaia is evolving: 💡 New capabilities ✨ Improved UI/UX 🧬 Beyond single sequence search Help shape the future of biological data. Join the waitlist 👉 shorturl.at/dKae4 Let’s build this together.