We blend human insight with safe and fast data access to train high performance models.
Collaborate
We combine cutting-edge technologies, like federated learning, with critical clinical expertise and a network of academic researchers. This allows research to be accelerated in a safe and privacy-preserving way.
Challenges
What if we could share global data insights seamlessly?
Strict regulation to protect patient data
Regulatory requirements such as GDPR and HIPAA and a fear of compromising competitive assets or patient privacy makes data sharing complex.
Disjointed data
Complementary datasets cannot be easily accessed and combined for model training.
Data harmonization
Differing standards of data structure, digitization, storage, privacy compliance, and geographical distribution stack up and compound each other.
Strict regulation to protect patient data
Regulatory requirements such as GDPR and HIPAA and a fear of compromising competitive assets or patient privacy makes data sharing complex.
Disjointed data
Complementary datasets cannot be easily accessed and combined for model training.
Data harmonization
Differing standards of data structure, digitization, storage, privacy compliance, and geographical distribution stack up and compound each other.
Owkin’s solution
We unite Clinical, IT and Data specialists and groundbreaking technologies within an integrated network to overcome these challenges for faster and more effective research.
Federated Learning
Federated Learning
Connect disjointed data to build accurate models without sharing or pooling data with Federated Learning
Unlocking access
Federated learning powers precision medicine by unlocking access to the right quality and quantity of data to train high-performance models.
Data stays local
With Federated Learning the data stays local - only models and insights travel between the servers, protecting privacy and ensuring compliance.
More accurate models
This technology allows research communities to benefit from access to more datasets, capturing the full heterogenous picture, resulting in more robust and accurate models.

Testimonial
Substra (formerly Owkin Connect)
Substra (formerly Owkin Connect)
Expand access to health data while protecting privacy with our open source Federated Learning software, Substra
Substra technology powers collaboration in healthcare by ensuring data confidentiality and compliance.
Substra for clinical research
The HealthChain project unites AI experts and medical researchers to foster medical innovation in anatomo-pathology, dermato-oncology and fertility while preserving patients' privacy. Requirements such as GDPR and HIPAA and a fear of compromising competitive assets or patient privacy makes data sharing complex.
BioPharma companies and healthcare institutions deploy Substra in various settings for clinical research and drug discovery.
Substra for drug discovery
The MELLODDY Consortium tackles the $1.3Bn challenge of bringing a new drug to market. This project enhances predictive machine learning models on the decentralized data of 10 pharmaceutical companies, without exposing proprietary information.
Substra documentation
Discover how to use and deploy Substra in a real-world setting.
Read moreSubstra documentation
Discover how to use and deploy Substra in a real-world setting.
Read moreConsortia
Consortia
Accelerate your breakthrough research by building collaborative projects in a privacy-preserving way with Federated Learning.
Free up resources from data pooling and management work packages to focus on what really matters: your scientific question. Our decentralized-AI technology lets you set up secure and efficient consortia: data is never shared between partners; only the encrypted models travel between the data centers.
Data & KOL network
Data & KOL network
Solve the biggest questions in cancer by combining the very best biomedical expertise with artificial intelligence. Owkin has built a world-class research network of leading academic centers, KOLs and expertly-curated, high-quality patient data.
Owkin’s data network contains cohorts of rich longitudinal datasets that medical experts have curated for fit-for-purpose standard and AI analysis. They span many modalities; omics, imaging, histology, and clinical data, comprehensively capturing oncology’s heterogeneous nature.
Collaboration in healthcare
Owkin is proof that collaboration in healthcare could make precision medicine a reality.
Through data access and KOL insight, we’ve created breakthrough models

Professor Fabrice André, MD, PhD
Director of Research Gustave Roussy
"Owkin is leading the use of AI for prediction and drug discovery in cancer. It has developed methods to detect predictive signals that the human brain can’t. We developed a pathology tool to predict relapse in early stage breat cancer patients in one year, while we struggled for many years to do it with other teams."

Professor Francoise Galateau Salle, MD, PhD
Head of MESOPATH in the Department of Biopathology Cancer Centre Léon Bérard
“We had a wonderful experience with Owkin…they created an algorithm and the results exceeded our expectations. They were able to identify details from the histology slides that we knew about but had never previously recognized as significant prognostic indicators or biomarkers of treatment decisions.”

Professor William R. Jarnigan , MD
Chief of Hepatopancreatobiliary Service at Memorial Sloan Kettering Cancer Center
“I am excited to be part of this cutting-edge research collaboration that will have a positive impact on how clinicians evaluate and treat patients with intrahepatic cholangiocarcinoma, and potentially other cancers, as well.”
Metrics
168 & 40
168 KOLs; 40 have a H-index above 44
14
14 leading academic research centres equipped with federated technology
8
8 consortia of leading biopharma and research partners (4 IMI projects and 2 H2020 grants)
45
Access to 45 live datasets & continuously expanding
Our data network


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