310.ai

About 310.ai

310 AI develops a generative AI engine that converts protein function descriptions into sequences, facilitating programmable biology for research and application. Their web-based platform allows users to design biomolecules, access open-source models, and visualize data, streamlining the protein design process.

```xml <problem> Designing novel proteins with specific functions is a complex and time-consuming process, often requiring extensive experimental validation. Traditional methods lack the speed and efficiency needed to rapidly prototype and optimize biomolecules for various applications. </problem> <solution> 310 AI offers a generative AI engine that translates protein function descriptions into corresponding amino acid sequences, enabling rapid protein design and programmable biology. Their platform leverages a molecular programming (MP) model trained on vast biological datasets to generate novel protein sequences based on user-defined functional requirements. The system streamlines the biomolecule design process by providing an AI-powered copilot that allows users to design, search databases, visualize structures, and orchestrate pipelines within a unified web-based interface. This approach accelerates the development of custom proteins for research and various applications. </solution> <features> - Text-to-protein generation using a proprietary molecular programming (MP) model. - Web-based chat platform for biomolecule design and experimentation. - Access to state-of-the-art open-source models. - Integrated tools for searching databases and visualizing protein structures. - Orchestration of design pipelines within a single interface. </features> <target_audience> The primary target audience includes researchers, synthetic biologists, and bioengineers seeking to accelerate protein design and development for various applications. </target_audience> ```

What does 310.ai do?

310 AI develops a generative AI engine that converts protein function descriptions into sequences, facilitating programmable biology for research and application. Their web-based platform allows users to design biomolecules, access open-source models, and visualize data, streamlining the protein design process.

Where is 310.ai located?

310.ai is based in San Francisco, United States.

When was 310.ai founded?

310.ai was founded in 2022.

How much funding has 310.ai raised?

310.ai has raised 3700000.

Who founded 310.ai?

310.ai was founded by Kooshiar Azimian.

  • Kooshiar Azimian - CEO
Location
San Francisco, United States
Founded
2022
Funding
3700000
Employees
15 employees
Major Investors
Cota Capital
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310.ai

Score: 100/100
AI-Generated Company Overview (experimental) – could contain errors

Executive Summary

310 AI develops a generative AI engine that converts protein function descriptions into sequences, facilitating programmable biology for research and application. Their web-based platform allows users to design biomolecules, access open-source models, and visualize data, streamlining the protein design process.

310.ai7K+
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Crunchbase
Founded 2022San Francisco, United States

Funding

$

Estimated Funding

$3.7M+

Major Investors

Cota Capital

Team (15+)

Kathy Wei

CSO

Kooshiar Azimian

CEO

Company Description

Problem

Designing novel proteins with specific functions is a complex and time-consuming process, often requiring extensive experimental validation. Traditional methods lack the speed and efficiency needed to rapidly prototype and optimize biomolecules for various applications.

Solution

310 AI offers a generative AI engine that translates protein function descriptions into corresponding amino acid sequences, enabling rapid protein design and programmable biology. Their platform leverages a molecular programming (MP) model trained on vast biological datasets to generate novel protein sequences based on user-defined functional requirements. The system streamlines the biomolecule design process by providing an AI-powered copilot that allows users to design, search databases, visualize structures, and orchestrate pipelines within a unified web-based interface. This approach accelerates the development of custom proteins for research and various applications.

Features

Text-to-protein generation using a proprietary molecular programming (MP) model.

Web-based chat platform for biomolecule design and experimentation.

Access to state-of-the-art open-source models.

Integrated tools for searching databases and visualizing protein structures.

Orchestration of design pipelines within a single interface.

Target Audience

The primary target audience includes researchers, synthetic biologists, and bioengineers seeking to accelerate protein design and development for various applications.