310.ai
Generative AI for text-to-protein design and biomolecule programming in drug discovery, synthetic biology, and research.
Overview
310 AI is building the generative AI engine designed to make programmable biology a reality. By combining cutting-edge generative AI with biological science, the company aims to transform how biology is studied and applied — making it more accessible and impactful for solving real-world problems across medicine, industry, environmental engineering, and research.
At the core of 310 AI's mission is the belief that nature's 4 billion years of evolution can be compressed and reimagined through modern GPU-powered AI, unlocking new possibilities in biomolecule design that were previously out of reach.
Core Technology
- Molecule Programming Foundational AI Model (MP): 310 AI's flagship model addresses what the company considers the most important task AI can solve in biology today — taking a description of a protein function and turning it into a sequence.
- Text-to-Protein Generation: The molecular programming model supports pioneering text-to-protein generation, enabling researchers and developers to describe desired biological functions in natural language and receive corresponding protein sequences.
- MBMLF Architecture: The platform is built around a foundational model framework (MBMLF) designed specifically for molecular programming tasks.
Applications and Impact
- Enabling breakthroughs in medicine through novel protein and biomolecule design.
- Supporting industrial biotechnology by programming biological systems for manufacturing and production use cases.
- Advancing environmental engineering through the design of biomolecules capable of addressing ecological challenges.
- Accelerating scientific research by making generative biology tools more accessible to a broader range of researchers and organizations.
310 AI represents a new frontier in generative AI applied to the life sciences, compressing billions of years of natural evolution into programmable, AI-driven biological design — positioning itself as a foundational platform for the future of programmable biology.