Access Crisis:
55% of the global population lacks essential health services, a problem most acute in the Global South.
aiMai is a US healthcare AI company dedicated to improving healthcare service quality and dismantling structural barriers to medical access.
Access Crisis:
55% of the global population lacks essential health services, a problem most acute in the Global South.
Workforce Burnout:
The WHO projects an 11-million-person health worker shortage by 2030, with clinicians currently spending up to 40% of their time on non-clinical tasks.
Infrastructure Barriers:
Traditional digital health tools prove its effectiveness but fail in "off-telecom grid" areas due to expensive, unstable, or non-existent Internet connectivity.
Our "plug-and-play," portable AI system is a hardware-software integrated hub specifically designed for environments without Internet access. The hub generates its own private local Wi-Fi network, delivering high-quality, AI-enabled clinical support to mobile terminals used by local healthcare professionals.
A locally hosted medical knowledge base provides real-time support for triage, diagnosis, and treatment planning.
Multilingual voice-to-text technology eliminates non-clinical burdens by auto-generating clinical documentation.
A "data flywheel" powered by Federated Learning allows AI to improve without data ever leaving local sites.
Crash-Proof Engineering
Custom memory protocols ensure system stability, even during peak times with multiple simultaneous clinician requests.
Clinical-Grade Speed
We reduced each AI response latency from 120 seconds to just 15 seconds through a proprietary approach in model sparsity and pruning.
Validated Impact
Developed in direct collaboration with premier medical institutions, which serve hundreds of thousands of patients annually.
Regulatory Clearance
We have obtained Malaysian Medical Device Authority (MDA) clearance for current applications and maintain full compliance with PDPA data privacy standards and national data sovereignty.
We eliminate "amenable mortality" by delivering an internet-independent local AI system to the most vulnerable communities.
We empower hospitals and clinics to digitize their infrastructure through a secure, cost-effective solution that increases both care quality and productivity.
Our system acts as a digital force multiplier, returning critical time to doctors and nurses for direct patient care by automating documentation and supporting clinical decisions.
We offer a path to bridge the healthcare digital divide with low-cost, effective AI systems while ensuring high-quality care without compromising national data sovereignty.
aiMai is expanding toward global deployment. We collaborate with healthcare providers, governments, health organizations, and medical research institutions to deliver portable, hardware integrated Edge-health solutions to underserved communities across the Global South.
Our team, located across the United States and Asia, combines deep AI technical specialization with frontline healthcare operational experience.
Our team conducts research in Edge AI, Federated Learning, and AI medical applications, having authored or co-authored over 30 technical publications. We create architectures that allow complex medical intelligence to run on constrained, offline hardware.
Our team in Malaysia leads system engineering and application pilots, working closely with clinicians to ensure our technologies transition advanced research into clinical-grade systems.