Immunai

Immunology based personalized disease treatments

Decoding the immune system to improve health. Comprehensively mapping the immune system with single-cell biology and AI to power new therapeutic discoveries, accelerate drug development and improve patient outcomes. Cutting-edge biology coupled with machine-learning to unravel the immune system. We are curating the largest proprietary data-set of multi-omic, immune-centric analyses of peripheral tissues. Our advanced analytics and data-visualization interface allows researchers to comprehensively view and interrogate data, and derive novel conclusions on the underlying mechanisms of disease. With a comprehensive view of the immune system, clinicians are better equipped to personalize and optimize treatment choices for each patient, and maximize positive outcomes. Immunai’s mission is to transform immunology by pioneering single-cell technologies coupled with the most cutting-edge AI methods.
Active
January 2019
137
Software
B2B
Product Development

people
Ansuman Satpathy
Scientific Founder
people
Dan Littman
Scientific Founder
people
Danny Wells
Scientific Founder
people
Luis Voloch
CTO
AI Expert

people
Dan Littman
Advisor
people
Jimmie Ye
Advisor
people
Kimary Kulig
Advisor
people
Larry Marton
Advisor

$295,000,000

Series B

$1,000,000,000

October 27, 2021
Series B
$215,000,000

Date Announced

Round Stage

Round Size

Lead Investors

February 11, 2021
Series A
$60,000,000

Date Announced

Round Stage

Round Size

Lead Investors

May 14, 2020
Seed
$20,000,000

Date Announced

Round Stage

Round Size

Lead Investors

catalio capital management
Catalio Capital Management
Venture Capital
2020

Investor

Investor Type

Founded

Funds Raised

dexcel pharma
Dexcel Pharma
Company

Investor

Investor Type

Founded

Funds Raised

investor
Duquesne Family
Family Office
2010

Investor

Investor Type

Founded

Funds Raised

Immunai’s mission is to map the immune system with neural networks and transfer learning techniques informed by deep immunology knowledge. We developed the tools and knowhow to help every immuno-oncology and cell therapy researcher excel at their job. Immunai combines comprehensive, multi-omic single cell genomics with cutting edge machine learning algorithms to enable high resolution profiling of the immune system, at industrial scale, with rapid turnaround.
Artificial Intelligence, Deep Learning, Machine Learning
10
Supervised Learning, Unsupervised Learning
Auto Encoders, Neural Networks, Transfer Learning
Amazon Web Services, Google Cloud AI
Docker, Keras, Pandas, Pytorch, Scikit-Learn, TensorFlow
Python, R

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