The future of Alzheimer’s risk flagging and support
0% of Alzheimer’s patients are undetected.
AlziDetect is one of the world’s first early Alzheimer’s risk screening platforms.
Using MediaPipe facial landmark tracking (468 points) and vertical eye-face coupling patterns reported in Alzheimer’s research, we flag early risk signals in under ~10 min and indicate when further clinical evaluation may be appropriate.
The Problem with Traditional Methods
Long Wait Times
Lack of Accessibility
Our Solution: The AlziDetect Ecosystem
Our ecosystem centers around early risk screening through our proprietary gaze screening, supported by clinician-guided education, continuous progress monitoring, and memory preservation tools to coordinate follow-up care.
Gaze Screening
Tracking vertical eye-face coupling patterns from MediaPipe’s 468-point facial landmarks to flag early risk signals.
Clinician-guided Education & Support
Access clinician-led education and support to understand screening results and possible next steps.
Progress Monitoring
Track screening trends over time with AI-powered analytics to support follow-up conversations.
Memory Preservation Tools
Preserve precious memories with our AI-assisted memory recording and organization system.
Our Impact
Early Risk Screening
Flagging risk patterns years before traditional evaluation, enabling earlier follow-up when support is most effective.
Cutting Costs
By making screening accessible from home, we're removing barriers that prevent millions from getting timely follow-up.
Reducing Time
From weeks of waiting to screening results in minutes, enabling faster follow-up when it matters most.
How we developed our models from the ground up
Proprietary data taken from our clinic and hospital partners.
Architect innovative testing protocols and analysis frameworks optimized for early risk screening.
Launch targeted data collection and validation studies with clinical partners.
Develop and train AI models on comprehensive datasets to achieve strong screening performance.
Rigorously test and validate model performance against clinical standards.
Scale the platform to serve patients and healthcare providers continuously.
Our platform is designed for both patients and healthcare providers who need accessible, comprehensive support throughout the care journey.
Partnering with Researchers
Our technology is built on a foundation of rigorous scientific research and validated through partnerships with leading medical institutions and research organizations.
Research Foundations
Our screening algorithms are based on peer-reviewed research from leading medical journals and institutions worldwide.
Key Research Area:
MediaPipe facial landmark tracking (468 points) and vertical eye-face coupling patterns reported in Alzheimer’s research
Clinical Partnerships
We work closely with hospitals and clinics to validate our technology in real-world clinical settings.
Partnership Focus:
Proprietary data collection and validation studies with clinical partners
Published Research
Our methodology is backed by peer-reviewed research from leading medical institutions.
Academic Collaboration
Continuous collaboration with research institutions ensures our technology stays at the forefront of early risk screening research.
Ongoing Research:
Focused gaze screening using MediaPipe facial landmarks and vertical eye-face coupling patterns
Meet the Team
Our team is dedicated to developing the best possible technology for early Alzheimer’s risk screening and care support.
Ryan Zhu
Founder
Passionate Neurobiologist and Entrepreneur
Ensuring healthcare access is available to everyone
Ali-Mansur Valiyev
Co-Founder
Entrepreneur & Systems Designer
Making early risk screening accessible.
Eklavya Tomar
AI and web engineer
AI and Health Integrated Engineer
Engineering meaningful solutions.
Harihar Rengan
Backend & AI Engineer
Entrepreneur & Full-stack Developer
AI for real-world impact.
Neil Sharma
AI Engineer
Programmer in Healthcare AI
Technology that improves lives.