We built SaveLife.AI from a stroke ward.
Junaid Kalia is a practicing neurologist. He spent enough shifts watching residents charting at 11pm, after the stroke patient was stable, to know the documentation tax wasn’t going to fix itself. We started SaveLife.AI in 2020 to give clinicians back their evenings without giving up documentation quality.
Our Mission
Bring applied AI to the bedside, sharpening diagnostics and clinical workflows to improve patient outcomes and save lives globally.
Our Vision
A future where Practical AI reaches global healthcare, solving real-world clinical challenges and delivering life-and-limb-saving care to billions at scale.
Our Core Values
The principles that guide every decision we make and every product we build.
Impact
Driven to save lives and improve health outcomes globally.
Accessibility
Committed to democratizing healthcare AI through solutions designed for practical, real-world implementation, especially in underserved regions.
Innovation
Pioneering applied AI for healthcare's greatest challenges, recognizing its potential to improve human well-being.
Quality & Safety
Upholding rigorous standards for accuracy, reliability, and data security.
Collaboration
Partnering with clinicians and institutions to ensure integration that fits existing workflows, with user-centric design.
Meet the Team
Physicians, engineers, and scientists united by a mission to save lives through AI.

Junaid Kalia, MD
Founder & CEO
Board-certified clinical neurologist and healthcare AI entrepreneur. Leads SaveLife.AI building FDA-cleared multimodal AI solutions for diagnostics, radiology, and clinical documentation. Subspecialized in neurocritical care, stroke, and epilepsy. 27+ peer-reviewed publications, 18K+ LinkedIn followers.

Jawad Kalia, MBBS
Chief Technology Officer
Physician-turned-developer and system architect with extensive experience designing and deploying scalable solutions for large healthcare organizations.

Muhammad Mushhood Ur Rehman
Chief Scientific Officer
Bridging clinical medicine and AI, with expertise in Health Engineering, and Explainable AI. Skilled at translating clinical needs into practical, scalable AI solutions for diverse healthcare settings.

Abdullah Usmani
Chief AI Engineer
Championing AI innovation, leading the design and deployment of production-grade systems powering core products. Extensive experience in applied machine learning across leadership roles at leading firms in Asia and North America.

Muhammad Mohsin Khan
Neuroscience Research Director
Neuroscience researcher with expertise in clinical validation, applied machine learning, and translational neuroscience, experienced in designing and leading research projects that bridge scientific rigor with real-world healthcare applications.
Ready to bring clinical AI to your team?
“If anyone saved a life, it would be as if they saved the life of all mankind.”