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Gesund Launches on AWS Marketplace to Address Critical Need for Testing and Validating Clinical AI in Healthcare Settings

With AWS Marketplace debut, Gesund expands to its first cloud service

Boston, MA and Berlin, Germany – WEBWIRE

Gesund, the company ensuring that medical artificial intelligence (AI) is safe and effective for all, today announced the launch of its commercial platform on the Amazon Web Services Marketplace (AWS). The news is immediately impactful to the thousands of healthcare professionals who use AWS and need a low-code and collaborative platform to train and test algorithms.

While AI holds tremendous promise for the healthcare industry, the sector has unique challenges with respect to data training, testing and validation that directly impact the ability to ensure equity and effectiveness in its use. Regulatory considerations like HIPAA for instance make it time consuming and difficult for developers to access the data they need to train their systems. For optimal results, training data furthermore needs to cover a variety of patient demographic profiles and should be annotated by board-certified physicians. To ensure responsible innovation, it needs to be easier for developers to test algorithms on a diverse set of high quality data and for doctors to test off the shelf AI on data from their own hospitals.

This is why Gesund is building a platform for clinicians and companies to test and train medical AI. As the company debuted from stealth purpose built to run in environments with no internet access, AWS is Gesund’s first cloud partner. The healthcare ecosystem is a fragmented environment where different locations use different cloud providers, or in most cases, no public cloud providers. By launching on AWS, it fills a critical testing and evaluation gap in the medical software ecosystem that comprises companies like AI.doc and NVIDIA. The partnership puts Gesund in the hands of Academic Medical Centers including UC Davis Health.

“Our Lab focuses on the critical problem of health AI developers validating their models on diverse, real-world data,” said Dr. Ben Fine, Clinician Scientist, AI Deployment and Evaluation Lab at Trillium Health Partners. “With Gesund, we have a platform that makes such collaboration easy, and importantly, that lets us do this in an ethical, transparent and reproducible manner.”

Mirroring this, hospital-side researchers can upload their deidentified data in a zip file or a URL address to the Gesund platform residing on premise, or add data sets via an S3 bucket or a local path without the need to actually move the data around. The Gesund platform can be installed and run fully functional in public/ private clouds as well as any isolated server in air gapped environments running behind strict firewalls. Basically, Gesund’s platform is fluidly able to benchmark AI tool performance no matter the underlying technology at a time of rapid innovation in their use in drug discovery. This is the first time a one-stop-shop MLOps platform brings data, annotators and algorithms in a low-code compliant environment independent of the dozens of cloud-dependent 3rd party managed services typically required for production-grade ML.

“We are built to work in high compliance workspaces with no internet access but it is also important to provide the major cloud companies with our services,” said Dr. Enes Hosgor, CEO and founder of Gesund. “These clouds have their own medical app stores and Gesund makes it easy to test the tools as well as build their own.”

The news builds on a busy year for the company since it debuted from stealth in March 2022. It will be exhibiting at the preeminent radiology conference and has partnered with a number of hospitals and is continuing to expand its operations teams as it sets its sights on more growth in 2023.

About Gesund
Gesund is building the highway of clinical-grade artificial intelligence.

The company connects highly curated and diverse data sets to medtech innovators so they can more quickly and efficiently build and test AI that’s effective and safe for clinical settings. It’s designed from the ground up to work in high compliance environments with no cloud access and to be used by doctors, researchers and other medical stakeholders through a simple low-code interface.

The company was founded by Enes Hosgor, Ph.D., in 2021 and is backed by marquee venture capitalists including 500 Global. For more information visit:



 Clinical Ai
 Ai Cloud Tools
 Medical Algorithm

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