Digital twin of cells for drug discovery

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mission

At DeepLife, we harness deep learning on multi-omics data to model cells and efficiently engineer their behavior

Digital twin of cells from in vitro to in silico
SIMULATION :
simulation
EXPLORATION :
exploration

We believe AI augmented bio-engineering will design the cures of tomorrow

Cells are the most advanced piece of engineering on earth resulting from trillions of chemical interactions. However, small perturbations within those interactions, due to mutations or external influences, can lead cells to pathological states, then causing diseases.

For decades, biologists have struggled to identify those causes by iteratively reconstructing cell mechanisms.

At DeepLife, we develop novel approaches based on state-of the art multi-omics data, machine learning, and systems engineering to identify molecular triggers driving back a cell in its healthy state.

Watch our video

products

Our platform is the all-in-one solution to take you from data to actionable insights for your drug discovery pipeline

The largest harmonized multi-omics database

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Access harmonized, ML ready multi-omics datasets from 30+ qualified data repositories

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Subscribe to up to date, continuously curated organ and disease atlases

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Acquire your data in one click with API driven interoperable data packages

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Request demo
Database
Database

Large scale multi-omics data analysis workflow

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Run large-scale analysis on 10M cells seamlessly in a flexible coding environment

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Integrate state-ot-the-art analysis tools using R & Python toolboxes

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Stay up to date with 24/7 best in class verified and executable tools (24/7 support)

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Request demo
Analysis

Interpretable AI for System Biology

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Identify & prioritize druggable targets and biomarkers

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Perform comprehensive pathway analysis

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Run large scale training for diseases specific cell models

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Request demo
Twin cell
DeepLife Database

The largest harmonized multi-omics database

check

Access harmonized, ML ready multi-omics datasets from 30+ qualified data repositories

check

Subscribe to up to date, continuously curated organ and disease atlases

check

Acquire your data in one click with API driven interoperable data packages

check

check

DeepLife Analysis

Large scale multi-omics data analysis workflow

check

Run large-scale analysis on 10M cells seamlessly in a flexible coding environment

check

Integrate state-ot-the-art analysis tools using R & Python toolboxes

check

Stay up to date with 24/7 best in class verified and executable tools (24/7 support)

check

check

DeepLife Twin Cell

Interpretable AI for System Biology

check

Identify & prioritize druggable targets and biomarkers

check

Perform comprehensive pathway analysis

check

Run large scale training for diseases specific cell models

check

check

Partnerships

We work with the world’s most ambitious pharmaceutical companies, biotechs and academics to accelerate drug discovery through artificial intelligence.

Deciphering cell behaviour together

At DeepLife, we enable our partners to leverage the power of our AI discovery platform to unlock biological insights and generate innovative novel treatments for diverse disease domains. We foster partnerships around two forms: assets development or discovery platform partnerships.

Partner with us
cellule

Our partners

cochin
UDD
Inria
vumc
leuven
mcgill
Inserm
GR
Curie

Team & Careers

Our team’s DNA is encoded with 4 letters:
Ambitious, Creative, Talented & Goal-oriented people

ADVISORY BOARD
Geneviève Almouzni
Geneviève Almouzni
Research Dir. @Curie Institute’s
Louis Pachebat
Louis Pachebat
M&A Dir. @Sanofi
Maxime Pommereau
Maxime Pommereau
VP France @Salesforce
FULL TIME TEAM
Jonathan Baptista
Jonathan Baptista
See our job openings
Co-founder & CEO
Jean-Baptiste Morlot
Jean-Baptiste Morlot
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Co-founder & CTO
Emmanuelle Supper
Emmanuelle Supper
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CCO
Elie Hatem
Elie Hatem
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Head of Products & Programs
Kevin Carvalho
Kevin Carvalho
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Alliance Manager
Sébastien Légaré
Sébastien Légaré
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Systems Biologist
Paulo Czarnewski
Paulo Czarnewski
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Sr. Computational Biologist
Zigfrid Zvezdin
Zigfrid Zvezdin
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Tech Lead
Katherine Driscoll
Katherine Driscoll
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Computational Biologist
Thomaz Dias
Thomaz Dias
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Computational Biologist
Pedro Ribeiro
Pedro Ribeiro
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Bioinformatician
João de Mereilles
João de Mereilles
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Computational Biologist
We’re hiring !
We’re hiring !
See our job openings
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