A CRO platform for clinical-grade AI
Train. Validate. Secure clearance.
The problem we are facing
Medical AI adoption is lagging due to a lack of
compliant, scalable, and ML-friendly data access
About gesund.ai
Gesund.ai orchestrates the AI as-a-Medical Device lifecycle, providing privacy-centered access to diverse yet standardized medical data sources, and a unique analytical toolbox that fosters clinical validation, regulatory clearance and effective marketing
How it works
Standardized, unified and diversified data customized for your ML needs and regulatory requirements
Gesund assesses model validation needs and provides a suitable mix of high-quality data from its multiple and diverse clinical partner sites
1.
Model owner shares clinical study with Gesund for curation of appropriate dataset(s), and uploads their model onto Gesunds federated validation platform, which resides on hospital premise or private cloud.
2.
Model runs against a previously unseen validation data set that has been curated on the hospital side.
3.
Model accuracy metrics are produced and displayed on the Gesund platform for further examination with respect to patient characteristics, scenario analyses and stress testing.
4.
The model insights are exported into a report for the model owner to supplement their regulatory submission.
Request early access
Are you an academic researcher in medical AI?
Bring your own data or model and join the Gesund community. For free
No-hassle model exploration
and validation running models against
real-world data in a secure environment
No more dependency
on software engineers to
containerize or deploy models
Share models
and insights out of the
box with collaborators
Gesund’s CRO platform provides
end-to-end services for machine-learning algorithm development and validation
Dataset matching
according to case-specific
regulatory demands
Annotation
as-a-service
Assessment of demographic
characteristics for explanatory
purposes
Post-market validation
and evaluation
Update model via
re-training with prospective
studies against standard of care
Identify gaps
in algorithms
To tap proprietary data sources and reader expertise through our platform
Latest news
Enes Hoşgör, Ph.D., CEO at Gesund: AI Is on the Road to Improving Healthcare: It’s Time to Build a Superhighway
A startup provides medical data for testing AI health solutions
‘I need evidence yesterday’: Gesund raises $2 million to provide algorithm-validating data
Gesund.ai Exits Stealth with $2M in Funding to Build the Highway of Clinical-Grade AI for Safe and Effective Medical Applications
Advisory board
The HonorableDavid J. Shulkin, M.D.
Bryan Sivak
Prof. Paul Chang, M.D.
Vance Moore
Team
Enes Hosgor, Ph.D.
CEO & Founder
Veysel Kocaman
VP of Engineering
Ray Funahashi, M.D.
Head of Clinical Affairs
Brian Ayers, M.D., MBA
Clinical Scientist
Emre Yorgancigil, M.D., Ph.D.
Clinical Research Associate
Selin Kanyas
Customer Success Manager
Yashwanth Soundararaj
Regulatory Affairs Manager
Akson Sam
ML Engineer
Mehmet Burak Sayici
ML Engineer
Hammad Khalid
Jr. ML Engineer
Deniz Dugru
Jr. Python Developer
Resul Turan
Full-Stack Developer
Isa Sumer
Front-End Developer
Furkan Turkoglu
Front-End Developer
Necip Tahir Ozgan
Front-End Developer
Murat Kilic
UX/UI Designer
Careers
DevOps Engineer (Remote)
We are building a privacy-first MLOps platform for data-driven organizations in healthcare and life sciences. The platform is designed to support the entire lifecycle of machine learning (ML) efforts to accelerate breakthrough medical research and bring clinical-grade ML solutions to market. Our fast-expanding strategic network includes early clinical and technology partners and organizations in the US, Israel and Europe.
Machine Learning
We are building a privacy-first MLOps platform for data-driven organizations in healthcare and life sciences. The platform is designed to support the entire lifecycle of machine learning (ML) efforts to accelerate breakthrough medical research and bring clinical-grade ML solutions to market. Our fast-expanding strategic network includes early clinical and technology partners and organizations in the US, Israel and Europe.
