Science is hard. Repeating other labs’ findings is even harder.
That’s particularly true in the life sciences, where biologists and researchers manually run sophisticated experiments fraught with variables such as water purity, humidity or subtle differences in equipment.
“Biologists do almost everything by hand, and there’s a lot of variation in experiments from lab to lab,” said Ethan Perlstein, founder and CEO of Perlstein Lab, a San Francisco-based biotech startup working to discover drugs to fight rare genetic diseases.
“I want to be able to do science in a way that’s auditable and scalable, and the data is repeatable, pristine and good.”