HAQ MedHub: Medical Artificial Intelligence Infrastructure Launched in Astana
Astana, July 8, 2026. Astana Hub hosted the official launch of HAQ MedHub, a non-profit infrastructure initiative established to advance medical artificial intelligence in Kazakhstan and Central Asia.
The key challenge in medical AI is access to data. Without high-quality medical datasets, it is impossible to train AI models, validate algorithm performance, or bring AI solutions into clinical practice. However, medical data is fundamentally different from conventional technological data. It contains sensitive information related to patients, diagnoses, medical imaging, laboratory tests, examinations, and clinical decisions. Therefore, its use requires robust anonymization, legally compliant access procedures, protection of patients' rights, active involvement of healthcare professionals, and clearly defined accountability mechanisms.
The launch of HAQ MedHub comes just days before Kazakhstan's Digital Code enters into force on July 11, 2026, amid increasingly stringent requirements governing the processing of personal data. For healthcare organizations and AI developers, this means adopting more rigorous approaches to data ownership, anonymization, access management, consent, cybersecurity, and regulatory compliance when implementing AI-driven healthcare solutions.
Until now, the market has developed in a fragmented manner. Clinics and universities possess valuable medical data and clinical expertise but often lack secure and legally compliant mechanisms for sharing data with technology developers. Startups have innovative algorithms and ideas but cannot properly train or validate their AI models without access to quality datasets. Physicians understand real clinical challenges but frequently lack practical opportunities to participate in AI development. As a result, many promising solutions remain at the stage of presentations, pilot projects, or laboratory experiments without reaching large-scale implementation.
HAQ MedHub has been established as a collaborative infrastructure connecting these stakeholders. The initiative brings together healthcare organizations, universities, physicians, researchers, AI developers, and medtech startups to build an end-to-end ecosystem—from preparing anonymized datasets and medical data annotation to AI model validation, regulatory compliance, and implementation of AI solutions in healthcare practice.
"Medical AI cannot be developed solely through strong algorithms. It requires high-quality data, physicians, expert annotation, legally compliant processes, domain expertise, and a clear pathway to implementation. HAQ MedHub was created to bring all these elements together into a functional ecosystem," said Togzhan Kozhaly, Founder of HAQ MedHub.
The project consists of six key pillars: MedEx – a platform for secure exchange of anonymized clinical data for AI model training and validation; MedLabel – a medical data annotation and labeling service involving domain experts; MedVentures – a challenge-based accelerator for medtech startups; MedAcademy – educational programs for digital medicine and medical AI professionals; MedEvents – a professional networking and knowledge-sharing platform; MedAdvisory – consulting services on medical AI, healthcare data, regulatory compliance, and implementation.
During the launch event, the HAQ MedHub team presented its approach to responsible medical data management, the accelerator program, educational initiatives, and collaboration mechanisms with healthcare organizations and universities. Resident startups e-Osmotr, Teri AI, and Neuro Guard also showcased how their products can be scaled, navigate regulatory pathways, and train AI models through the MedEx platform.
Following the presentation, HAQ MedHub signed memorandums of cooperation with universities and healthcare institutions. These agreements will serve as the foundation for building Kazakhstan's professional Health AI infrastructure, where medical data, clinical expertise, scientific research, and technological innovation converge to create practical healthcare solutions.
About HAQ MedHub
HAQ MedHub (Health AI Quality) is a non-profit foundation and infrastructure initiative dedicated to advancing medical artificial intelligence in Kazakhstan and Central Asia. The project unites healthcare organizations, universities, physicians, researchers, developers, and startups to enable the secure use of anonymized medical data, dataset preparation, AI model development, and implementation of Health AI solutions.
Website
medhubhaq.ai
Media Contact
Chingiz Ainabekov
Tel.: +7 775 000 4424
E-mail: chingiz@medhubhaq.ai
The key challenge in medical AI is access to data. Without high-quality medical datasets, it is impossible to train AI models, validate algorithm performance, or bring AI solutions into clinical practice. However, medical data is fundamentally different from conventional technological data. It contains sensitive information related to patients, diagnoses, medical imaging, laboratory tests, examinations, and clinical decisions. Therefore, its use requires robust anonymization, legally compliant access procedures, protection of patients' rights, active involvement of healthcare professionals, and clearly defined accountability mechanisms.
The launch of HAQ MedHub comes just days before Kazakhstan's Digital Code enters into force on July 11, 2026, amid increasingly stringent requirements governing the processing of personal data. For healthcare organizations and AI developers, this means adopting more rigorous approaches to data ownership, anonymization, access management, consent, cybersecurity, and regulatory compliance when implementing AI-driven healthcare solutions.
Until now, the market has developed in a fragmented manner. Clinics and universities possess valuable medical data and clinical expertise but often lack secure and legally compliant mechanisms for sharing data with technology developers. Startups have innovative algorithms and ideas but cannot properly train or validate their AI models without access to quality datasets. Physicians understand real clinical challenges but frequently lack practical opportunities to participate in AI development. As a result, many promising solutions remain at the stage of presentations, pilot projects, or laboratory experiments without reaching large-scale implementation.
HAQ MedHub has been established as a collaborative infrastructure connecting these stakeholders. The initiative brings together healthcare organizations, universities, physicians, researchers, AI developers, and medtech startups to build an end-to-end ecosystem—from preparing anonymized datasets and medical data annotation to AI model validation, regulatory compliance, and implementation of AI solutions in healthcare practice.
"Medical AI cannot be developed solely through strong algorithms. It requires high-quality data, physicians, expert annotation, legally compliant processes, domain expertise, and a clear pathway to implementation. HAQ MedHub was created to bring all these elements together into a functional ecosystem," said Togzhan Kozhaly, Founder of HAQ MedHub.
The project consists of six key pillars: MedEx – a platform for secure exchange of anonymized clinical data for AI model training and validation; MedLabel – a medical data annotation and labeling service involving domain experts; MedVentures – a challenge-based accelerator for medtech startups; MedAcademy – educational programs for digital medicine and medical AI professionals; MedEvents – a professional networking and knowledge-sharing platform; MedAdvisory – consulting services on medical AI, healthcare data, regulatory compliance, and implementation.
During the launch event, the HAQ MedHub team presented its approach to responsible medical data management, the accelerator program, educational initiatives, and collaboration mechanisms with healthcare organizations and universities. Resident startups e-Osmotr, Teri AI, and Neuro Guard also showcased how their products can be scaled, navigate regulatory pathways, and train AI models through the MedEx platform.
Following the presentation, HAQ MedHub signed memorandums of cooperation with universities and healthcare institutions. These agreements will serve as the foundation for building Kazakhstan's professional Health AI infrastructure, where medical data, clinical expertise, scientific research, and technological innovation converge to create practical healthcare solutions.
About HAQ MedHub
HAQ MedHub (Health AI Quality) is a non-profit foundation and infrastructure initiative dedicated to advancing medical artificial intelligence in Kazakhstan and Central Asia. The project unites healthcare organizations, universities, physicians, researchers, developers, and startups to enable the secure use of anonymized medical data, dataset preparation, AI model development, and implementation of Health AI solutions.
Website
medhubhaq.ai
Media Contact
Chingiz Ainabekov
Tel.: +7 775 000 4424
E-mail: chingiz@medhubhaq.ai