Tahoe Therapeutics
@tahoe_ai
Mapping how chemistry perturbs biology to build a virtual model of the human cell. Formerly known as Vevo Therapeutics.
We got a brand new look, with the same team and same ambitions 👀 - check out our new website: tahoebio.ai
Vevo Therapeutics is now Tahoe Therapeutics (@tahoe_ai) We loved our old name, Vevo, and chose it for its allusion to vivo, life. But a (much, much, much) bigger company was also using the name for something unrelated and twisted our arm to change it. 🧵
If you're curious what other teams like @cedar_db and @tahoe_ai are building, check out open roles across the @AmplifyPartners portfolio at talent.amplifypartners.com/jobs. Early-stage, high-trust, deep-tech work across AI, infra, bio, and security.
Timely and thoughtful post from our friends @cedar_db . Been digging into what makes a postdoc ready to move into industry. One takeaway: you don't need to commercialize your own research on day one. Joining teams like Cedar or @tahoe_ai is a great way to build that muscle.
Leaving academia is always a big step, especially if you bring your research project with you into the real world. Read our latest post to learn what we did to prepare a research project for production workloads and what we learned along the way: cedardb.com/blog/research_…
Since TahoeDive on @kepler_ai_ launched a month ago we have seen an overwhelming positive response from the community, with hundreds of researchers around the world performing massively parallel analyses on the rich Tahoe-100M perturbation dataset. Results are already going into…
Don't miss this!
@iamjohnnyyu and I will be in NY next week for @decodingbio and @NYSE's 3rd annual AIxBio Summit. I will join @tfmiller3 & @LindaBGoodman on the stage to discuss models and data in bio. Come hang out with us!
We love it when others build dev tools for building on Tahoe-100M. Today, we highlight scDataset in our @tahoe_ai blog. Developed by @davide_dascenzo & @sebacultrera, it makes it easier to train DL models on datasets with the daunting scale of Tahoe-100M (see poster in ICML '25)
I f*** love this. And to put even more momentum behind this awesome movement by our @arcinstitute friends: 🥁@tahoe_ai will give $25K to the best model that is also open-sourced with weights on @huggingface for everyone's use! + maybe a mention on X by @ClementDelangue? ;)
Register today for the Virtual Cell Challenge and use AI to solve one of biology’s most complex problems. Announced in @CellCellPress, the competition is hosted by Arc Institute and sponsored by @nvidia, @10xGenomics, and @UltimaGenomics.
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So cool: @tahoe_ai is giving $25K (on top of the $100k + $50k + $25k) to the best open-source model on @huggingface for the @arcinstitute's Virtual Cell Challenge! Open-source + AI + biology = 🔥🔥🔥
Exactly what we aimed to enable by open-sourcing Tahoe-100M: foundational work on predicting how cells function in different contexts. State, by our friends at @arcinstitute is the first of many to come. Congrats @yusufroohani @abhinadduri, @genophoria , @davey_burke et al.
Introducing Arc Institute’s first virtual cell model: STATE
Our cofounder Nima @nalidoust joined Nobel Laureate @JohnJumperSci and other AI x Bio leaders including Brandon Wood, Sam Rodriques, and Simon Kohl to discuss foundation models of biology, data bottlenecks, the metrics for success, and what to expect in the next few years in AI…
There goes my plans for the weekend; I am gonna spend it all asking random questions about drugs and cell lines 🙃 Y'all should check it out! Such a great use of AI agents in biological data exploration using natural language!
Today, we @tahoe_ai are announcing TahoeDive, built in partnership with Kepler AI @keplogic + opening beta access! TahoeDive is an AI agent for biologists to query & analyze our Tahoe-100M dataset using natural language, with added context from broader scientific literature. 🧵
This short video says it all - it's writing, running, and visualizing the full bioinformatics pipeline just like a computational biologist!
So we teamed up with Kepler AI @keplogic to build TahoeDive: A natural language interface that enables biologists to do analysis that requires a team of bioinformaticians: dig into Tahoe-100M — and any datasets derived from it — alongside key insights from the literature. 🔍
We’re excited to invite a select group of biologists to try it and share feedback. Request beta access, read more, and see example demos here 👉 tahoebio.ai/tahoedive Let us know what you think 💬
Today, we @tahoe_ai are announcing TahoeDive, built in partnership with Kepler AI @keplogic + opening beta access! TahoeDive is an AI agent for biologists to query & analyze our Tahoe-100M dataset using natural language, with added context from broader scientific literature. 🧵
8/ Read the full post here: 🔗 blog.tahoebio.ai/p/using-tahoe-… And if you’re building tools or therapies on top of single-cell data—we’d love to collaborate. Tahoe-100M is just the beginning. 🌱 #cancerbiology #immunotherapy #singlecell #AIinBiotech #drugdiscovery
🧵1/ We @tahoe_ai just published a new post on the Tahoe blog—a story of how we used Tahoe-100M, the world’s largest drug-perturbed single-cell dataset, to find compounds that upregulate MHC-I and make tumors more visible to the immune system. Here’s how 🧬🔍👇
On a personal level, it's special to see a dataset go from an idea -> an experiment -> a community like this. What a smart and curious group of people at the leading edge of the Virtual Cell! This will definitely be a moment in time.
Shoot for the moon. Build openly. That's the spirit of @tahoe_ai #tahoedeepdive. 40 people from across the world, self-organized into teams to play with Tahoe-100M and build open models of how biology interacts with chemistry.
#TahoeDeepDive 💙
Shoot for the moon. Build openly. That's the spirit of @tahoe_ai #tahoedeepdive. 40 people from across the world, self-organized into teams to play with Tahoe-100M and build open models of how biology interacts with chemistry.
💙
Shoot for the moon. Build openly. That's the spirit of @tahoe_ai #tahoedeepdive. 40 people from across the world, self-organized into teams to play with Tahoe-100M and build open models of how biology interacts with chemistry.