Evo 2Arc Institute
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Related Products
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About
Evo 2 is a genomic foundation model capable of generalist prediction and design tasks across DNA, RNA, and proteins. It utilizes a frontier deep learning architecture to model biological sequences at single-nucleotide resolution, achieving near-linear scaling of compute and memory relative to context length. Trained with 40 billion parameters and a 1 megabase context length, Evo 2 processes over 9 trillion nucleotides from diverse eukaryotic and prokaryotic genomes. This extensive training enables Evo 2 to perform zero-shot function prediction across multiple biological modalities, including DNA, RNA, and proteins, and to generate novel sequences with plausible genomic architecture. The model's capabilities have been demonstrated in tasks such as designing functional CRISPR systems and predicting disease-causing mutations in human genes. Evo 2 is publicly accessible via Arc's GitHub repository and is integrated into the NVIDIA BioNeMo framework.
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About
Genome Computer turns your genetic data into a portable, AI-ready .genome bundle you can download, keep, self-host, and explore with Genome Intelligence, Codex, Claude Code, Cursor, or any compatible tool. The open format restructures the same underlying data found in a VCF into a structured, queryable bundle, with variants stored in fast columnar tables alongside trait associations, supporting research, gene-level context, polygenic scores, pharmacogenomics, and clear provenance. Whole-genome sequencing orders are built from gVCF data, preserving both detected variants and confidently sequenced regions where no variant was found, while FASTQ files are available on request. Existing VCF or TXT files from other providers can also be converted, imputed where needed, annotated, scored, and prepared for AI interpretation. Genome Intelligence lets you ask questions grounded in your actual genetic data, compare new research with your genotypes, and explore genetics.
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Audience
Computational biologists and genetic engineers in need of a tool to model and design biological sequences across multiple modalities, enhancing research in genomics and synthetic biology
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Audience
Privacy-conscious individuals who want to explore and continually reinterpret their genetic data using AI
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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API
Offers API
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API
Offers API
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
No information available.
Free Version
Free Trial
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Pricing
$15 per month
Free Version
Free Trial
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Reviews/
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Reviews/
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Company InformationArc Institute
United States
arcinstitute.org/tools/evo
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Company InformationGenome Computer
United States
genome.computer/
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Categories |
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Integrations
Claude Code
Cursor
Evo Designer
GitHub
Hugging Face
NVIDIA BioNeMo
OpenAI Codex
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Integrations
Claude Code
Cursor
Evo Designer
GitHub
Hugging Face
NVIDIA BioNeMo
OpenAI Codex
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