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Insitro

Insitro

A bioinformatics company in San Francisco building data collection methods and databases that will enable machine learning algorithms in healthcare. It was founded in 2018.

OverviewStructured DataIssuesContributors

Contents

insitro.com
Is a
Organization
Organization
Company
Company

Company attributes

Industry
Artificial Intelligence (AI)
Artificial Intelligence (AI)
Internal medicine
Internal medicine
Oncology
Oncology
Diabetes mellitus
Diabetes mellitus
Biology
Biology
Biotechnology
Biotechnology
...
Location
San Francisco
San Francisco
South San Francisco, California
South San Francisco, California
0
United States
United States
B2X
B2B
B2B
CEO
Daphne Koller
Daphne Koller
0
Founder
Daphne Koller
Daphne Koller
0
Pitchbook URL
pitchbook.com/profiles...228303-64
Date Incorporated
April 10, 2018
Number of Employees (Ranges)
201 – 5000
Email Address
info@insitro.com
Number of Employees
1800
Full Address
279 East Grand Avenue, Suite 200 South San Francisco, CA 940800
CIK Number
1,812,648
Investors
Verily
Verily
Bezos Expeditions
Bezos Expeditions
Google Ventures
Google Ventures
0
WuXi AppTec
WuXi AppTec
0
SoftBank Vision Fund
SoftBank Vision Fund
0
Temasek Holdings
Temasek Holdings
0
Alexandria Venture Investments
Alexandria Venture Investments
Casdin Capital
Casdin Capital
0
...
Founded Date
2018
Total Funding Amount (USD)
743,210,951
Latest Funding Round Date
March 2021
Glassdoor ID
2542855
CTO
Martha Rook
Martha Rook
0
CFO
Mary Rozenman
Mary Rozenman
0
Key People
Robert Hilgraf
Robert Hilgraf
0
Keith James
Keith James
0
Theofanis Karaletsos
Theofanis Karaletsos
0
David Lloyd
David Lloyd
Ajamete Kaykas
Ajamete Kaykas
0
Jevan Soo Lenox
Jevan Soo Lenox
0
Eric Tse
Eric Tse
Duane Valz
Duane Valz
0
Latest Funding Type
Series C
Series C
Patents Assigned (Count)
1
Country
United States
United States

Other attributes

Company Operating Status
Active
About

Insitro is a San Francisco-based biotechnology company with a focus on using artificial intelligence and other technologies for the research and development of drugs for medical patients. It uses machine learning and high-throughput biology to develop its therapeutics.

Product

The company has developed predictive models which are intended to be used to provide insight into which drugs will be successful and for which group of people. These models use information from patients such as genetic, phenotypic, and clinical data to conduct analyses. It uses the results from these analyses to create cell-based disease models. Machine learning is applied in order to differentiate between cell states. The use of in vitro models of disease combined with in silico machine learning models is where the name of the company, insitro, derives. The company uses these technologies to make predictions about interventions that may work for the diseases,

Insitro's technology has been used to research and develop drugs for diseases such as non-alcoholic fatty liver disease. It can also be used to discover subtypes of diseases, such as Alzheimer's and diabetes.

Timeline

No Timeline data yet.

Funding Rounds

Products

Acquisitions

SBIR/STTR Awards

Patents

Further Resources

Title
Author
Link
Type
Date

AWS re:Invent 2019 - Daphne Koller of insitro Talks About Using AWS to Transform Drug Development

https://youtu.be/BCcujAcbi-8

Web

December 16, 2019

Combining AI and biology could solve drug discovery's biggest problems

Ruth Reader

https://www.fastcompany.com/90516257/combining-ai-and-biology-could-solve-drug-discoverys-biggest-problems

Web

June 14, 2020

insitro Announces $143 Million Raised in Series B Financing

https://www.businesswire.com/news/home/20200526005212/en/insitro-Announces-143-Million-Raised-Series-Financing

Web

May 26, 2020

insitro Announces Leadership Team Expansion to Support Advancement of Machine Learning Enabled Drug Discovery and Development Efforts

https://www.businesswire.com/news/home/20220112005420/en/insitro-Announces-Leadership-Team-Expansion-to-Support-Advancement-of-Machine-Learning-Enabled-Drug-Discovery-and-Development-Efforts

Web

January 12, 2022

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