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

Preview
Preview

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

March 10th 2022

Enes Hoşgör, Ph.D., CEO at Gesund: AI Is on the Road to Improving Healthcare: It’s Time to Build a Superhighway

March 8th 2022

A startup provides medical data for testing AI health solutions

March 2nd 2022

‘I need evidence yesterday’: Gesund raises $2 million to provide algorithm-validating data

March 2nd 2022

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.

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 Affairs
Emre Yorgancigil, M.D., Ph.D.
Clinical Affairs
Selin Kanyas
Customer Success Manager
Yashwanth Soundararaj
Regulatory Affairs Manager
Mehmet Burak Sayici
ML Engineer
Akson Sam
Data Engineer
Resul Turan
Full-Stack Developer
Isa Sumer
Front-End Developer
Furkan Turkoglu
Front-End Developer
Murat Kilic
UX/UI Designer
Deniz Dugru
Jr. Python Developer
Hammad Khalid
Jr. ML Engineer
Necip Tahir Ozgan
Front-End Developer (Intern)

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.

Let's Connect

United States: 80 Fawcett St, Cambridge, MA 02138
Germany: Martin Opitz Str. 23, Berlin 13357
Germany: Martin Opitz Str. 23, Berlin 13357
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Gesund Platform