About EvolutionaryScale

EvolutionaryScale develops biological artificial intelligence models, specifically ESM3, to generate and design proteins by analyzing sequence, structure, and function data. This technology enables scientists to create novel proteins, such as esmGFP, significantly faster than natural evolutionary processes, enhancing therapeutic design capabilities in life sciences.

```xml <problem> The process of designing and generating novel proteins with specific functions is traditionally slow and resource-intensive, often taking years using directed evolution or rational design approaches. Scientists need faster methods to create proteins for various applications, including therapeutics, industrial enzymes, and biomaterials. </problem> <solution> EvolutionaryScale provides ESM3, a family of large-scale AI models that enable scientists to generate and design proteins with unprecedented speed. By training on a massive dataset of protein sequences, structures, and functions, ESM3 can simultaneously reason over these fundamental properties to explore a vast space of possibilities. Users can input a mix of sequence, structure, or function data to prompt ESM3 to create novel proteins, such as esmGFP, a green fluorescent protein that would have taken nature 500 million years to evolve. </solution> <features> - Generative AI models trained on billions of natural proteins to understand the language of biology - Chain-of-thought prompting allows users to specify desired sequence, structure, and function properties - Ability to design proteins with vast evolutionary departure from natural proteins - Available in three sizes (small, medium, and large) to suit different computational needs - Accessible through an API and partner platforms like Forge, AWS (Sagemaker, Omics platform, Bedrock), and NVIDIA BioNemo - ESM3-open, a small but powerful model, is available on GitHub under a non-commercial license - Adherence to a responsible AI development framework ensures safe and ethical use </features> <target_audience> The primary users are scientists and researchers in life sciences, biotechnology, and pharmaceuticals who need to design and generate novel proteins for various applications, including therapeutics, industrial enzymes, and biomaterials. </target_audience> ```

What does EvolutionaryScale do?

Where is EvolutionaryScale located?

EvolutionaryScale is based in East New York, United States.

When was EvolutionaryScale founded?

EvolutionaryScale was founded in 2023.

How much funding has EvolutionaryScale raised?

EvolutionaryScale has raised 182000000.

Location

East New York, United States

Founded

2023

Funding

182000000

Employees

27 employees

Major Investors

Nat Friedman, Lux Capital

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EvolutionaryScale

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Executive Summary

evolutionaryscale.ai 7K+

Crunchbase

Founded 2023 – East New York, United States

Funding

Estimated Funding

$100M+

Major Investors

Nat Friedman, Lux Capital

Team (25+)

No team information available.

Company Description

Problem

The process of designing and generating novel proteins with specific functions is traditionally slow and resource-intensive, often taking years using directed evolution or rational design approaches. Scientists need faster methods to create proteins for various applications, including therapeutics, industrial enzymes, and biomaterials.

Solution

EvolutionaryScale provides ESM3, a family of large-scale AI models that enable scientists to generate and design proteins with unprecedented speed. By training on a massive dataset of protein sequences, structures, and functions, ESM3 can simultaneously reason over these fundamental properties to explore a vast space of possibilities. Users can input a mix of sequence, structure, or function data to prompt ESM3 to create novel proteins, such as esmGFP, a green fluorescent protein that would have taken nature 500 million years to evolve.

Features

Generative AI models trained on billions of natural proteins to understand the language of biology

Chain-of-thought prompting allows users to specify desired sequence, structure, and function properties

Ability to design proteins with vast evolutionary departure from natural proteins

Available in three sizes (small, medium, and large) to suit different computational needs

Accessible through an API and partner platforms like Forge, AWS (Sagemaker, Omics platform, Bedrock), and NVIDIA BioNemo

ESM3-open, a small but powerful model, is available on GitHub under a non-commercial license

Adherence to a responsible AI development framework ensures safe and ethical use

Target Audience

The primary users are scientists and researchers in life sciences, biotechnology, and pharmaceuticals who need to design and generate novel proteins for various applications, including therapeutics, industrial enzymes, and biomaterials.