Hey everyone! We're Nithin and John, founders of Reticular.
TL;DR:
Reticular gives pharma companies precise control over protein AI models, enabling reliable drug discovery without millions in wasted experiments. We're unlocking encoded information in these models through foundational AI interpretability research, making steering as easy as prompting ChatGPT.
The Team:
Nithin and John are huge AI + Bio nerds who:
The Challenge:
Information in biology is incredibly scarce and expensive to validate. While protein AI models like AlphaFold have revolutionized drug discovery, they're still black boxes:
Our Approach:
Instead of trial-and-error, we're leveraging mechanistic interpretability techniques that excel at extracting sparse knowledge from models even with scarce data. We’re demonstrating that the same advances from frontier AI labs in steering models like Claude are applicable to unlock protein language models.
For our design partners, we’re delivering:
See It In Action:
We're steering Green Fluorescent Protein towards more fluorescent sequences by directly controlling the model's internal knowledge.
Learn More at reticular.ai, our proof-of-concept blog post, and at demo.reticular.ai.
We're Looking To Connect With:
Working with biological AI or have relevant connections? We'd love to chat! Schedule some time at calendly.com/reticular or email us at contact@reticular.ai