DEEPCELL

deepcell-logo

Deepcell offers AI-powered imaging and microfluidics platform that identifies and isolates viable cells based on morphological distinctions for use in translational research, diagnostic testing, and therapeutics. It is spun out of Stanford University in 2017 and is based in Menlo Park, California. The company has created unique, microfluidics-based technology that uses continuously learning AI to classify cells based on detailed visual features and sort them without inherent bias.

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DEEPCELL

Social Links:

Industry:
Artificial Intelligence Biotechnology Genetics Health Care

Founded:
2017-11-01

Address:
Menlo Park, California, United States

Country:
United States

Website Url:
http://www.deepcell.com

Total Employee:
11+

Status:
Active

Total Funding:
98 M USD

Technology used in webpage:
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Current Advisors List

tom-schoenherr_image

Tom Schoenherr Advisor @ Deepcell
Advisor
2018-01-01

not_available_image

Matt Posard Board Member @ Deepcell
Board_member
2022-03-01

david-m-mauney_image

David M. Mauney Board Member @ Deepcell
Board_member
2022-03-01

euan-ashley_image

Euan Ashley Scientific Co-Founder @ Deepcell
Advisor

not_available_image

Blake Goodner Board Member @ Deepcell
Board_member
2022-03-01

Current Employees Featured

hou-pu-chou_image

Hou-Pu Chou
Hou-Pu Chou Executive VP of Hardware Engineering @ Deepcell
Executive VP of Hardware Engineering

not_available_image

Marc Montserrat
Marc Montserrat Chief Business Officer @ Deepcell
Chief Business Officer
2020-11-01

don-kaiser_image

Don Kaiser
Don Kaiser Senior Full Stack Engineer @ Deepcell
Senior Full Stack Engineer
2021-07-01

kevin-farrell_image

Kevin Farrell
Kevin Farrell SVP and Head of Operations @ Deepcell
SVP and Head of Operations
2022-05-01

rudy-hofmeister_image

Rudy Hofmeister
Rudy Hofmeister Vice President Of Product Development @ Deepcell
Vice President Of Product Development
2021-01-01

mahyar-salek_image

Mahyar Salek
Mahyar Salek CTO, President and Co-Founder @ Deepcell
CTO, President and Co-Founder
2017-10-01

maddison-mahdokht-masaeli_image

Maddison Mahdokht Masaeli
Maddison Mahdokht Masaeli Co Founder and CEO @ Deepcell
Co Founder and CEO
2017-11-01

krishna-pant_image

Krishna Pant
Krishna Pant VP of Bioinformatics @ Deepcell
VP of Bioinformatics

giovanna-prout_image

Giovanna Prout
Giovanna Prout VP of Marketing @ Deepcell
VP of Marketing
2022-04-01

Founder


euan-ashley_image

Euan Ashley

maddison-mahdokht-masaeli_image

Maddison Mahdokht Masaeli

mahyar-salek_image

Mahyar Salek

Investors List

bow-capital_image

Bow Capital

Bow Capital investment in Series B - Deepcell

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Casdin Capital

Casdin Capital investment in Series B - Deepcell

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Horizons Ventures

Horizons Ventures investment in Series B - Deepcell

koch-disruptive-technologies_image

Koch Disruptive Technologies

Koch Disruptive Technologies investment in Series B - Deepcell

matt-mcilwain_image

Matthew McIlwain

Matthew McIlwain investment in Series B - Deepcell

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Jeff Dean

Jeff Dean investment in Series B - Deepcell

bridger-healthcare_image

Bridger Healthcare

Bridger Healthcare investment in Series B - Deepcell

andreessen-horowitz_image

Andreessen Horowitz

Andreessen Horowitz investment in Series B - Deepcell

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DCVC

DCVC investment in Series A - Deepcell

bow-capital_image

Bow Capital

Bow Capital investment in Series A - Deepcell

Official Site Inspections

http://www.deepcell.com Semrush global rank: 3.67 M Semrush visits lastest month: 3.84 K

  • Host name: 151.101.194.159
  • IP address: 151.101.194.159
  • Location: United States
  • Latitude: 37.751
  • Longitude: -97.822
  • Timezone: America/Chicago

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Powered by Deepcellโ€™s Human Foundation Model. The Human Foundation Model assesses many dimensions of cell morphology for a high-dimensional characterization of each cell. Download โ€ฆSee details»

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Deepcell is developing technologies to isolate and sort single cells that have both research and translational applications. Cells come in different shapes and sizes, yet it can still be โ€ฆSee details»

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Organization. Store, review, and organize runs from the REM-I instrument. Interpretability. Visualize embeddings as morphology UMAPs and compare morphologically similar cell โ€ฆSee details»

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