Evo 2Arc Institute
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Related Products
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About
Differential Bio is a virtual scale-up platform for bioprocess optimization that makes microbial growth more predictable, scalable, and cost-effective through robotic lab automation and AI-driven insights. Its workflow begins with automated, high-throughput experiments that mimic large-scale stress factors in microliter environments and generate industry-relevant wet-lab data through liquid handling, fermentation, and measurement. Specialized AI models use that data to predict outcomes such as biomass growth, protein expression, cell viability, titer, production rate, yield, and cost. Through the web-based platform, teams can configure optimization goals and parameter ranges, run unlimited in-silico experiments, compare simulated fermentation outcomes, perform multi-objective optimization, and identify process conditions to implement at scale.
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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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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
Precision-fermentation process scientists who need to optimize microbial production and reduce uncertainty before industrial scale-up
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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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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
No information available.
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 InformationDifferential Bio
Germany
www.differential.bio/
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Company InformationArc Institute
United States
arcinstitute.org/tools/evo
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Categories |
Categories |
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Integrations
Evo Designer
GitHub
Hugging Face
NVIDIA BioNeMo
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