Immunai
Immunology based personalized disease treatments
- Active
- Software
- Series B
News
Business Overview
Business Description
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.
Operating Status
Active
Founded
January 2019
Total Employees
137
Sectors
Sub Sectors
Offering Type
Software
Business Model
B2B
Business Stage
Product Development
People
Funding
Total Funding
$295,000,000
Last Funding Round
Series B
Valuation
$1,000,000,000
Funding Rounds
Investors
AI Technology Stack
AI Description
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.
AI Technology
Artificial Intelligence, Deep Learning, Machine Learning
AI Employees
10
Learning Types
Supervised Learning, Unsupervised Learning
AI Tasks
Algorithms and Techniques
Auto Encoders, Neural Networks, Transfer Learning
Cloud Provider
Amazon Web Services, Google Cloud AI
Frameworks, Libraries and Tools
Docker, Keras, Pandas, Pytorch, Scikit-Learn, TensorFlow
Coding Languages
Python, R
