Profluent (@ProfluentBio) / X

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Nov 19, 2025

Today we’re announcing $106M in new funding led by Altimeter Capital and Bezos Expeditions. This brings our total to $150M to scale our frontier AI models which make biology programmable. Our frontier models have generated functional proteins (Nature Biotech, 2023), created the

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We’re excited to share new data published in @Nature detailing the impressive activity, specificity, and low immunogenicity of our AI-designed CRISPR-Cas proteins, including OpenCRISPR-1. The future of gene editing is here and we’re scaling our capabilities to tackle the

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Protein language models just got an upgrade. Meet Profluent-E1: a free, flexible, frontier protein sequence encoder. E1 is built with retrieval augmentation to learn from multiple sequences. Models trained over 4T tokens with only 150M-600M params, E1 is SOTA for zero-shot

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We are thrilled to announce the first ever successful precision editing of the human genome with a gene editor designed from scratch with AI. businesswire.com/news/home/2024…

What if the same AI advancements that have transformed ChatGPT could be replicated in biology? Enter ProGen3, our latest foundation model suite for protein generation.

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Check out @EwenCallaway's article in @nature about how we’re using protein language design to create highly performant #CRISPR gene editors, and what this could mean for medical applications 👉

‘ChatGPT for CRISPR’ creates new gene-editing tools

At Profluent, we’re turning new possibilities into reality, one protein at a time. Our foundation models push the frontier of protein design beyond the limitations of random discovery.

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We’re excited to announce $35M in additional funding led by @sparkcapital to bring the total raised to $44M from investors including @insightpartners, @airstreet, @aixventureshq, @convergencevc, and a syndicate of angel investors across AI & biotech. businesswire.com/news/home/2024…

1/ Today we announced new research in the ability of AI models to precisely modulate protein-DNA interactions without iterative lab screening. 🧵

Proteins don't operate in a vacuum. So we built #proseLM, a functional protein design model that layers additional biological context on sequence data to design proteins more successfully. Learn more: profluent.bio/blog/generatin…

ICYMI: Our platform enables generation of unique Cas-like systems that are less than 1/2-1/3 the size of legacy Cas9 proteins, with demonstrated functionality in the wet lab. These molecules (and more) are ready for licensing. Find out more below 👇

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1/ Reagent drop 🎤 After debuting OpenCRISPR-1, the world’s first AI-created and open-source gene editor, we’re thrilled to share that the tools detailed in our bioRxiv preprint have been added to the AddGene repository. 🧬Access the plasmids here: addgene.org/browse/article…

Our CEO @thisismadani spoke with @CadeMetz at @nytimes about our landmark achievement in editing the human genome, the launch of OpenCRISPR-1 and what its open-source release could mean for the future of #CRISPR medicines. Read the full piece👇

Structure of the first AI-generated and open-sourced gene editor, OpenCRISPR-1.

Generative A.I. Arrives in the Gene Editing World of CRISPR (Published 2024)

Replying to @ProfluentBio

Oh, and one more thing, we are open sourcing E1 for free research and commercial use. We built it to tackle hard protein design problems at Profluent; so if it is useful for us, it will be useful for you. Paper: storage.googleapis.com/e1-paper-a26c3… Blog: profluent.bio/showcase/e1 Repo:

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