310.ai
310 AI develops a generative AI engine focused on making programmable biology a reality. The platform specializes in text-to-protein generation using a foundational molecular programming model. This technology translates functional descriptions directly into novel protein sequences for biological applications.
- Artificial Intelligence
- Biotechnology
Funding
Raised to date
$3.7MRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
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.
Target Audience
The primary target audience includes researchers, synthetic biologists, and bioengineers seeking to accelerate protein design and development for 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.