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What is Evo 2?

Evo 2 is an advanced genomic foundation model that excels in predicting and creating tasks associated with DNA, RNA, and proteins. Utilizing a sophisticated deep learning architecture, it models biological sequences with precision down to single-nucleotide accuracy, demonstrating remarkable scalability in both computational and memory resources as context length expands. The model has been trained on an impressive 40 billion parameters and can handle a context length of 1 megabase, analyzing an immense dataset of over 9 trillion nucleotides derived from diverse eukaryotic and prokaryotic genomes. This extensive training enables Evo 2 to perform zero-shot function predictions across a range of biological types, including DNA, RNA, and proteins, while also generating novel sequences that adhere to plausible genomic frameworks. Its robust capabilities have been highlighted in applications such as the design of efficient CRISPR systems and the identification of potentially disease-causing mutations in human genes. Additionally, Evo 2 is accessible to the public via Arc's GitHub repository and is integrated into the NVIDIA BioNeMo framework, which significantly enhances its availability to researchers and developers. This integration not only broadens the model's reach but also represents a pivotal advancement in the fields of genomic modeling and analysis, paving the way for future innovations in biotechnology.

What is Differential Bio?

Differential Bio is a cutting-edge virtual platform aimed at improving bioprocess optimization by enhancing the predictability, scalability, and cost-effectiveness of microbial growth through the use of robotic lab automation and AI-driven insights. The journey begins with automated, high-throughput experiments that simulate large-scale stress conditions in microliter volumes, generating valuable wet-lab data through techniques in liquid handling, fermentation, and measurement. Custom AI algorithms meticulously analyze this information to predict various outcomes such as biomass growth, protein synthesis, cell viability, titer, production rates, yields, and cost implications. Accessible via a web-based interface, users can define their optimization goals and parameter thresholds, carry out unlimited in-silico simulations, assess the outcomes of simulated fermentation processes, engage in multi-objective optimization, and determine the best conditions for scaling production. This holistic methodology not only optimizes the workflow but also equips teams with the ability to make informed, data-driven decisions in the realm of bioprocess development, thereby promoting innovation and efficiency in the field. By integrating advanced technologies, Differential Bio sets a new standard for the future of bioprocessing.

Media

Media

Integrations Supported

Evo Designer
GitHub
Hugging Face
NVIDIA BioNeMo

Integrations Supported

Evo Designer
GitHub
Hugging Face
NVIDIA BioNeMo

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Arc Institute

Company Location

United States

Company Website

arcinstitute.org/tools/evo

Company Facts

Organization Name

Differential Bio

Company Location

Germany

Company Website

www.differential.bio/

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