Founded in 1987, our company began with a clear mission: to bridge the gap between advanced technology and real-world healthcare needs. In our early years, we focused on building secure and scalable desktop-based clinical applications, collaborating closely with small to mid-sized hospitals and specialty clinics. Even in those formative years, we were guided by a belief that technology should serve the people behind healthcare — not complicate their work.

During the 1990s, it gained deep domain expertise by closely working with doctors, nurses, and hospital administrators, translating real-world healthcare workflows into reliable digital systems.

In the early 2000s, the company embraced the web revolution, evolving its products into browser-based applications and later shifting toward cloud infrastructure, enabling real-time access, multi-facility deployment, and enhanced interoperability. 

As the internet evolved, so did we. In the 2010s, our platform transitioned into fully web-based and cloud-enabled architectures, enabling remote access, interoperability, and secure data sharing across facilities and regions. With this shift, we launched our modular Hospital Information System (HIS) and Electronic Medical Record (EMR) platforms, now adopted by institutions nationally. We also began formalizing our in-house Research & Development division, laying the foundation for AI-powered health innovation.

By 2015, we embraced the rise of the Internet of Things (IoT) in healthcare, integrating device connectivity into our platforms to support remote patient monitoring, real-time vitals tracking, and telemetry systems — crucial for ICU, elderly care, and post-operative settings. We forged partnerships with hardware manufacturers and medical device OEMs to ensure seamless, standards-based integration.

As Artificial Intelligence (AI) and Machine Learning (ML) matured, our R&D capabilities grew with them. We invested in a dedicated Health AI Lab, bringing together data scientists, clinicians, and engineers to develop predictive analytics models, clinical decision support tools, and early warning systems. Our ML models now support applications in radiology, pathology, diagnostics, patient risk stratification, and personalized treatment planning — trained on de-identified data with rigorous validation protocols.

Entering the 2020s, we became a fully cloud-native, microservices-based platform provider, supporting large-scale public health systems, private hospital chains, research institutions, and health NGOs. With compliance to international standards like ISO/IEC 27001, ISO 9001, and ISO 13485, we ensured that security, quality, and patient safety remained central to our innovation journey.Today, we continue to lead with a focus on precision healthcare, real-time data intelligence, and ethical AI. Our multidisciplinary teams work across the intersections of software engineering, healthcare delivery, and research to co-create the future of digital health — from point-of-care to population-scale solutions.