Insitro

The AI engine Fit Assessment

Beta

Insitro effectively utilizes machine learning to discover patterns and expand therapeutics, optimizing the drug discovery process.

Blurb

Insitro is a drug discovery and development startup that utilizes machine learning and biology to transform drug discovery.

HQ Location

South San Francisco (United States)

Founded

2018

Employees

201 - 500

Total funding raised

$643.00M

Last Funding Event

Series C, $400.00M, March 15, 2021

Smart insights

  • Catherine Msc (Chief People Officer) worked at Lilium as Head of People Business Partnering for 1.5 years (2021 - 2022)
  • Val Miftakhov (Founder & CEO) worked at Google in various roles, including Head of R&D, Google for Work Incubation, for a total of 4 years (2012 - 2016)
  • 6m headcount growth: 25%
  • 1Y headcount growth: 94%
  • Headcount-to-last-round ratio: 5.3 employees/$M
Subspaces
  • Drug Repurposing
  • Drug Discovery Optimization

Insitro is an operator of a data-driven drug discovery and development company that utilizes machine learning and high-throughput biology to transform the way that drugs are discovered and delivered to patients. The company uses state-of-the-art technologies from bioengineering enabling it to generate high-throughput, functional genomic data sets and aligning them with patient data via novel machine learning methods, thereby building predictive models that can accelerate target selection and the design and development of effective therapeutics. In 2018, Daphne Koller established Insitro in South San Francisco, California..