Lynx.MD
Active

The Lynx cloud-based platform unlocks data access and connects healthcare data siloes.

AI Enablers, AIOps, Analytics
Artificial Intelligence AutoML Computer Vision

Business Overview

Advancements in big data and artificial intelligence are enabling massive innovation and research, driven by the availability of large datasets. But in healthcare, data silos limit access and innovation.

At Lynx.MD envision a world where the clinical data can be shared securely, enabling improved healthcare delivery and disruptive clinical research while keeping patient privacy.

Founded
January 2017
Employees
10
Business model
B2B
Offering type
Software
Funding stage
Seed
Business stage
Beta
Total funding
$2.5 Million
Sectors
AI Enablers, AIOps, Analytics, Big Data, Digital Health, Electronic Health Records, Healthcare

Funding Rounds

Calculated as the average ratio between the current funding round amount raised and the previous funding round amount raised. Note that 'plus' rounds are summed together. i.e. Series A = Series A and Series A+.

Date Announced

Funding Round

Amount Raised

Investors

AI Technology Stack

AI Description

Create a deidentified universe enabling exploratory data science projects, rapid modeling of machine learning solutions and in a collaborative research sandbox.

Employ data from multiple sourcing including medical records, imaging, genomics in combination with data from public sources. All in a compliant private cloud environment, keeping the data secure and in control.

Utilize your data for improved patient care by building machine learning models in collaboration with internal and external innovators, privately or as part of a federated group of institutions.

Harness the full richness of healthcare data with exponential technologies such as computer vision, natural language understanding, AutoML and big data analytics.

AI application
Vertical AI
AI types
Artificial Intelligence, AutoML, Computer Vision, Decision Management, Machine Learning, Natural Language Processing

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Related Investors

TYPE
Venture Capital
MIN CHEQUE
$0.1 M

INVESTMENTS

48

PORTFOLIO

19

TYPE
Crowdfunding
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$0.25 M

INVESTMENTS

25

PORTFOLIO

22

TYPE
Venture Capital

INVESTMENTS

1

PORTFOLIO

2

TYPE
Corporate Venture Capital

INVESTMENTS

13

PORTFOLIO

7

CONTACT

This Startup Uses Federated Learning to Enable AI Innovations in Healthcare While Preserving Patient Privacy
This Startup Uses Federated Learning to Enable AI Innovations in Healthcare While Preserving Patient Privacy
April 7, 2020

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