Clinically trustworthy AI solutions for healthcare institutions
From clinical decision support to data management, from automation to institution-specific applications — we turn AI into a trustworthy colleague across every step of care.
We turn AI into a trustworthy clinical colleague
Neuronauts AI is a health-technology company that designs AI not merely as a tool, but as the most reliable partner in healthcare institutions’ workflows. From radiological imaging to data analysis, we build systems that learn from data, catch details that could be missed, and strengthen the physician’s decision.
Clinical focus
Every product is designed around the real workflows of physicians and clinical teams.
Research-based
We use methods validated by academic advisory and current literature.
End-to-end delivery
We own the whole process, from discovery to deployment and continuous support.
End-to-end software solutions for healthcare institutions
Clinical Decision Support Systems (CDSS)
Decision-support infrastructure that directs the physician’s attention to critical findings and offers evidence-based recommendations.
Medical Image Processing
Deep-learning models that mark critical regions in radiological images and standardize measurement.
Institution-specific Applications
Mobile and web applications with patient tracking and clinical checklists, adapted to your workflow.
Health Data Management Systems
Data platforms that collect, clean and make scattered clinical data analysis-ready.
Clinical Automation
Automation workflows that save time across appointment, reporting and documentation processes.
Integration & Interoperability
Secure integration with HIS (HBYS), PACS and laboratory systems over HL7/FHIR standards.
What the software actually looks like in the clinic
Illustrative views of each product surface — schematic representations of the interface, not screenshots of patient data.
Clinical Decision Support Systems (CDSS)
Decision-support infrastructure that directs the physician’s attention to critical findings and offers evidence-based recommendations.
Medical Image Processing
Deep-learning models that mark critical regions in radiological images and standardize measurement.
Institution-specific Applications
Mobile and web applications with patient tracking and clinical checklists, adapted to your workflow.
Health Data Management Systems
Data platforms that collect, clean and make scattered clinical data analysis-ready.
Clinical Automation
Automation workflows that save time across appointment, reporting and documentation processes.
Integration & Interoperability
Secure integration with HIS (HBYS), PACS and laboratory systems over HL7/FHIR standards.
From discovery to continuous support: delivered in five steps
Discovery & Needs Analysis
We define the problem and success metrics together with the clinical teams.
Workflow Design
We design the solution to sit inside the existing clinical workflow.
Development
We build the models and software with production-ready engineering discipline.
Clinical Validation
We test results against real data and validate with the clinical team.
Deployment & Support
We handle installation and provide monitoring, maintenance and continuous improvement.
Patient data, held to the highest standard of care
KVKK-compliant development
Process design compliant with data-protection law, data minimization and anonymization.
Access control
Role-based authorization and end-to-end encryption; only authorized access to data.
Auditability
Traceability of model decisions and audit logs for every operation.
On-premise hosting
On request, all systems are installed to run on the institution’s own infrastructure.
A core staff combining clinical expertise and engineering discipline
Ceren Akgün
Sets the company’s strategic vision and manages corporate relations and product direction.
İlknur Argum
Runs operational processes, cross-team coordination and corporate communication.
Ahmet Yasir Duman
Develops medical image processing models and builds hospital software and integrations.
Ege Aydın
Builds the platform end to end, from interface to infrastructure, and designs the agent-based AI systems that drive clinical automation.
Cihat Emre Karataş
Builds AI-powered applications from the interface to the server infrastructure.
Working alongside universities, hospitals and public institutions
Logos are shown with permission of the institutions we collaborate with.
An advisory network of physicians, academics and field experts
Dr. Öğr. Üyesi Ali Güneş
Dr. Ömer Faruk Dilbaz
Dr. Orhan Nedim Kurt
Fatih Güzel
From the Neuronauts blog
Learning More From Less: The Rise of Active Learning
Ali Güneş on how Active Learning gets similar or better performance from far less labeled data — the query strategies, the deep learning variants, and two case studies from his own published work.
The Age of Augmented Expertise in Bioinformatics
Computational biologist Orhan Nedim Kurt on what AI actually speeds up in bioinformatics — and what still belongs entirely to the expert.
Human-in-the-loop: why clinical AI should know when to stay quiet
The measure of clinical AI is not only how often it is right, but whether it knows when it is unsure, defers to the clinician, and leaves a trail.
Healthcare AI is one of the fastest-growing technology areas of the coming decade. With a validated product approach and our clinical partnerships, we are positioned to scale. We are open to collaboration with investors, healthcare institutions and sponsors through joint product development, pilots and strategic investment models.
See what trustworthy clinical AI looks like
Tell us about your institution and the workflow you want to strengthen. We’ll get back within two business days.
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