This is exactly what AI in biology has been missing.
You can generate 10,000 ideas but if every experiment is still done by hand in slightly different ways, you’re bottlenecked.
Automating the actual bench work at this level is massive.
Huge congrats @cmponce and team on Tetsuwan.
Cristian Ponce (@cmponce)
Automating the lab bench is the best thing we can do for AI in biology.
Most experiments are still run by hand. Every biologist's handiwork is unique and every lab is a little different. So, biology faces widespread reproducibility issues.
But, AI will demand more reproducible data than we can produce, and generate more ideas than we can test.
Experiments must be communicated and executed in a standardized way to generate reproducible data.
So, Tetsuwan is building a lab where users specify experiments in an exact syntax. These experiments are executed by an automated platform to generate transparent, reproducible output. The user never needs physical access to a lab. This is a biology lab you can use like a computer.
Our platform, built and tested with pilot labs over the past two years, lets users configure automated workflows rapidly & precisely.
Later this year, we will bring our first services online, focusing on functional screens for protein design.
Alex and I met at Caltech, where she was one year my senior. We're building this company because we were little kids who wanted to be biologists that grew up into adults who resented the lab bench. We want biology to be about asking questions, not the painful and frustrating manual process of asking them.
For those looking to receive updates on our pilot services, looking for a meaningful job, or just to learn more about our work, see the links in the comments!
Video
— https://nitter.net/cmponce/status/2069839730146230534#m