Tatta Bio
@tatta_bio
Building genomic intelligence
We were thrilled to see our co-founder @Micro_Yunha speak at @BostonBacterial 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…
🧬 “As life sciences enter the age of AI, real experimental data are more valuable than ever.” — Nature But data infrastructure hasn’t kept up. Open science depends on fixing that. Our take: tatta.bio/blog/o0z8nb07l… Nature: nature.com/articles/s4159…
When my sequences are annotated as hypothetical proteins…well, there is really not much I can do!” We’ve been talking to biologists about their sequence analysis pain points. DM or email us — we want your input. Private beta for our next-gen sequence engine opens soon 👀🧬
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.
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 —…
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…
At @tatta_bio, we have been thinking deeply about the sequence-to-function problem. We believe that before AI can power functional prediction, we first need to rethink how we curate, manage, and share sequence data. Here, we share our initial ideas on what we are building next:…
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
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
🚨New feature alert! Gaia Agent🤖 predicts functions of previously unannotated proteins. Check it out at gaia.tatta.bio
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…
🎉 A huge shoutout to the 42 organizations who snagged AI BTO awards! 🚀 Our program managers can’t wait to team up and turbocharge scientific and tech innovation together! Read more in our original call for white papers: darpa.mil/news-events/20…
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/🧵
📢Real-time context-aware protein search is here! We are thrilled to release Gaia, a gLM2-powered search tool for microbial protein sequence annotation and exploration. Give it a try and let us know what you think! gaia.tatta.bio #BioML
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)
📢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!
🎉Check out the genomic language model (gLM) paper hot off the press in @NatureComms, authored by our co-founders!🎉 Our team has been iterating and validating gLMs since this version. More updates coming soon! nature.com/articles/s4146…
