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Insitro
Machine learning drug discovery & development
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To become the first truly data-driven, integrated, drug discovery and development company.
Theo Margolius
COO of Otta
As pharmaceuticals become more specialised and complex, the traditional drug discovery process is becoming increasingly expensive and time consuming, taking up to 15 years from beginning to end. Insitro exists to reverse this trend by bringing a tech-first approach to the biopharma industry. By using machine learning to sort through vast amounts of medical data it is able to identify patterns in disease expression and identify targets for treatment.
This approach doesn't eliminate clinical trials but it augments the discovery process by highlighting productive areas of research. Perhaps the most difficut hurdle to overcome for Insitro is cultural: the huge pharmaceutical industry is used to relying on manual research and may have difficulty trusting machine learning guidance. However, this hasn't prevented their solution from being adopted by Gilead in their search for treatements for liver disease. It is also collaborating with Bristol Myers Squibb in ALS and dementia research. Should these partnerships prove successful Insitro stands to really shake up the pharmaceutical industry.
Mar 2021
$400m
SERIES C
May 2020
$143m
SERIES B
Total funding
This company has top investors
Founders
Daphne Koller
(CEO)Co-founder of Engageli and Coursera. Former COO and Calico Labs. Former Professor at Stanford University with a Post Doc in Computer Science from Berkley.
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