Business Overview

Active

2019

50

1.4%

$37M

Seed

3

9

1.1 years

Quris-AI is an artificial intelligence innovator that is disrupting drug development. Its machine-learning bio-platform better predicts which drug candidates will safely work in humans, avoiding tremendous costs of failed clinical trials. Quris-AI is led by a track-record team of top scientists and strategic investors. Its first AI-based drug is now prepping for clinical testing.

Employee Count

1.4%

4.4%

11.9%

18.2%

Employee counts updated on a monthly basis.

Lists

Stock Chart

Founders (2)

NamePositionMilitaryClassificationContact
hiddenIsaac Bentwich
CEOSerial Entrepreneur, AI Expert
hiddenYossi Haran
CTOAI Expert

AI Team (0)

Board and Advisors (11)

NamePositionContact
hiddenAaron Ciechanover
Advisor and Advisory Board Member
hiddenAlex Bronstein
Chief Scientist and Advisory Board Member
hiddenFernando Patolsky
Advisory Board Member
hiddenKobi Richter
Board Member and Advisory Board Member
hiddenLuba Greenwood
Advisory Board Member
hiddenMatthew Bronfman
Advisory Board Member
hiddenMoshe Yanai
CEO and Advisory Board Member
hiddenNissim Benvenisty
Advisory Board Member
hiddenRami Ungar
Advisory Board Member
hiddenRobert Langer
Advisory Board Member
hiddenSusan L. Solomon
Advisory Board Member

Revenues (0)

Funding Rounds (3)

$37M

RoundDateCapital RaisedValuationInvestors
December 2022
hidden$9M
5
January 2022
hidden$19M
3
October 2021
hidden$9M
3

M&A Events (0)

Investors (9)

InvestorInvestor TypeLocation
hiddeniAngels
CrowdfundingIsrael
hiddenGlenRock Israel
Private EquityIsrael
hiddenWelltech1
AcceleratorIsrael
hiddenSoftbank
Venture CapitalJapan
hiddenRichter Group
CompanyUnited States
hiddenJudith Richter
AngelIsrael
hiddenKobi Richter
AngelIsrael
hiddenMoshe Yanai
AngelIsrael
hiddenYoda PLC
Investment FirmCyprus

Patents (0)

Research Publications (0)

Certifications (0)

AI Technology Stack

3

Our machine-learning bio-platform better predicts which drug candidates will safely work in humans, avoiding tremendous costs of failed clinical trials. Quris’s unique machine-learning approach automatically generates classified data by testing drugs on miniaturized ‘patients-on-a-chip’ and the machine-learning then trains itself on this automatically-tagged data Quris’s unique machine-learning approach using the Bio-AI Clinical Prediction Platform is radically different: we automatically generate a completely novel biological dataset, which is highly predictive of clinical safety and efficacy. We do this by testing known safe and unsafe drugs on miniaturized Patients-on-a-Chip, in a patented process in which this data is automatically classified and continuously re-trains the machine learning. Quris’s AI Chip-on-Chip platform (18 granted and pending patents) allows automated testing of thousands of drugs on miniaturized ‘patients on a chip’, while next-generation nano-sensors continuously monitor the responses of each miniaturized organ to these drugs. This massive, highly predictive, data generated – is automatically classified and analyzed by the machine learning and trains it. The ability to train the machine learning model on a single ‘patient on a chip’ is limited. Quris’s platform leverages powerful AI to train itself on hundreds of stem cell-derived ‘patients on a chip’, which reflect an extremely broad genomic diversity. We are preparing for clinical testing of our first drug developed with our Bio-AI Clinical Prediction Platform, targeting Fragile-X Syndrome, and thus demonstrates the tremendous potential of our platform to de-risk and drastically cut drug development time

Jobs (0)

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