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Reverie Labs

Reverie Labs

Reverie Labs is a drug dicovery company that uses machine learning founded by Jonah Kallenbach.

OverviewStructured DataIssuesContributors

Contents

reverielabs.com
Is a
Company
Company
Organization
Organization

Company attributes

Industry
Engineering
Engineering
Drug discovery
Drug discovery
Artificial Intelligence (AI)
Artificial Intelligence (AI)
Biomedical engineering
Biomedical engineering
Technology
Technology
Biology
Biology
Biotechnology
Biotechnology
...
Location
United States
United States
Boston
Boston
Cambridge, Massachusetts
Cambridge, Massachusetts
0
B2X
B2B
B2B
CEO
Jonah Kallenbach
Jonah Kallenbach
0
Founder
‌
Ankit Gupta
0
Jonah Kallenbach
Jonah Kallenbach
0
Connor Duffy
Connor Duffy
0
AngelList URL
angel.co/reverie-labs
Pitchbook URL
pitchbook.com/profiles...187996-42
Accelerator
Y Combinator
Y Combinator
0
Accelerator Batch
‌
Y Combinator W18 Batch
0
Number of Employees (Ranges)
11 – 500
Email Address
contact@reverielabs.com0
Full Address
675 Massachussetts Ave Cambridge, MA 021390
Investors
Rough Draft Ventures
Rough Draft Ventures
Robot Ventures
Robot Ventures
Neo (venture capital fund)
Neo (venture capital fund)
Brad Flora
Brad Flora
UpHonest Capital
UpHonest Capital
Ridgeback Capital
Ridgeback Capital
Y Combinator
Y Combinator
0
First Round Capital
First Round Capital
0
Founded Date
2017
0
Total Funding Amount (USD)
25,000,000
Latest Funding Round Date
February 2021
Latest Funding Type
Series A
Series A
Wellfound ID
reverie-labs
Country
United States
United States
0
Headquarters
Boston
Boston

Other attributes

Company Operating Status
Active
Y Combinator URL
ycombinator.com/compani...rie-labs0

Reverie Labs is a company developing machine learning drug discovery platform for cancer therapeutics. It was established in 2017 by Jonah Kallenbach, Ankit Gupta, and Connor Duffy. Reverie Labs has received funding investors such as Soma Capital, Wei Guo, and Uncommon Denominator. The company is headquartered in Boston, Massachusetts, United States.

Product and service

Reverie Labs' technology is designed to be used in developing new therapeutics compound. It specifically aims to incorporate machine learning techniques to decrease the amount of time needed during the lead development phase. Some of the methodologies used include active learning to build client-specific databases and in silico testing on newly discovered molecules. Reverie Labs is focusing on discovering and developing their own cancer therapeutics, although it also offers its lead development technology for pharmaceutical companies' use.

Timeline

No Timeline data yet.

Funding Rounds

Products

Acquisitions

SBIR/STTR Awards

Patents

Further Resources

Title
Author
Link
Type
Date

Reverie Labs

https://www.facebook.com/reverielabs/?business_id=10152592499697447

Web

Reverie Labs uses new machine learning algorithms to fix drug development bottlenecks

Catherine Shu

https://techcrunch.com/2018/03/16/reverie-labs-uses-new-machine-learning-algorithms-to-fix-drug-development-bottlenecks/

Web

March 16, 2018

Scaling Drug Development with Containerized Machine Learning

Ankit Gupta

https://blog.reverielabs.com/scaling-drug-development-with-containerized-machine-learning/

Web

March 7, 2020

Training Transformers for Practical Drug Discovery with Tensor2Tensor

Gabe Grand

https://blog.reverielabs.com/transformers-for-drug-discovery/

Web

April 20, 2020

References

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