Revolutionary AI
technology for Parkinson's
disease diagnostics
Early symptom detection through table tennis movement
analysis
Early diagnosis challenge
Parkinson’s disease is often diagnosed at late stages when irreversible changes have already occurred. Early symptoms are difficult to detect using traditional methods.
60%
of patients are diagnosed too late
Our solution: AI movement analysis
TT Neuro AI uses computer vision and machine learning to analyze micro-movements during
table tennis play, detecting early signs of neurodegenerative diseases.
94% accuracy
Our system provides high accuracy in detecting early symptoms
Non- invasive method
Analysis occurs during regular table tennis play
Early detection
Symptom detection 3-5 years earlier than traditional methods
Market potential
Business model
Business To Business
Partnership with sport clubs and medical
centers and clinics
Business To Government
Integration with government healthcare
programs
Business To Client
Subscription for regular monitoring for
individuals
Our team
CEO
38-time Estonian table tennis champion and a professional player and coach
CMO
Clinician-scientist in neurology focused on neurotechnology for Parkinson’s disease
CMO
Marketing leader in neurotech for Parkinson’s disease
CTO
13+ years of full‑stack development experience in the finance domain
CIO
Military-trained, I deliver reliable neurotech programs with systems thinking
Application Architecture
Senior full-stack developer & team lead with 14+ years building scalable web systems
AI Architect
Computer vision & ML specialist in human movement and multi-sensor analytics
Our partners
Confido Clinic
Estonian Table Tennis Federation
Tallinn University of Technology
Parkinson's Society of Estonia
We collaborate with leading medical institutions, sports organizations, and research centers to
develop and validate our technology.
For investors
TT Neuro AI is at the seed investment stage. We have
developed an MVP and are conducting clinical trials
with partner medical institutions.