AI-powered reminiscence therapy built on personal photos— science-backed cognitive training for everyday life.
According to Alzheimer's Disease International (ADI), more than 75% of people with dementia worldwide live without a diagnosis. Cost, distance, and time barriers block access to care.
Standard cognitive training programs are disconnected from individual life histories — 1 in 5 participants drops out within six months.
Korea's total dementia social cost in 2022 (Central Dementia Center). Without continuous tracking, early intervention opportunities are missed — and this figure is projected to reach ₩103T by 2050.
Based on reminiscence therapy research (Woods et al., 2018; Huang et al., 2015). Re:Mind applies these evidence-based protocols.
Reminiscence therapy starts with a single meaningful photo. Four steps to science-based cognitive training in everyday life.
Caregivers upload photos full of memories and add brief context notes. AI immediately begins personalized analysis based on this information.
Vision AI reads the location, people, season, and mood in the photo and automatically creates personalized reminiscence questions across the DSM-5 six cognitive domains.
The older adult responds verbally or via multiple choice while viewing familiar photos. AI evaluates responses in real time and adjusts difficulty to maintain optimal cognitive load.
Caregivers view cognitive domain-level change trends on the dashboard. Session history, question types, and answer accuracy are visualized for clear insight into cognitive progress.
For caregivers who can't easily take their loved one to the clinic. Train at home, in daily life, with the family's own photos.
Nursing care staff and program coordinators can manage training for multiple residents from a single screen.
Based on the DSM-5 standard classification by the American Psychiatric Association, Re:Mind trains all six cognitive functions in balance — not just one.
Reminiscence Therapy has been studied since the 1960s. Multiple systematic reviews and meta-analyses have documented its benefits for cognitive function and quality of life. Re:Mind uses this evidence base as the foundation for its AI implementation.
Reminiscence therapy showed quality of life and meaningful improvements in cognitive outcomes
The conclusion of a Cochrane systematic review analyzing multiple RCTs conducted with older adults with dementia.
Reminiscence therapy produced significant improvements in both cognitive function and depressive symptoms in older adults with dementia
A meta-analysis of 12 RCTs found a small but statistically significant cognitive effect (g = 0.18) and a moderate effect on depressive symptoms (g = 0.49).
Only personalized reminiscence showed psychosocial benefits; generic materials showed no such effect
A systematic review of 5 RCTs found that life-review and personally tailored recall improved mood and cognition — generic materials did not.
Reminiscence therapy is a cognitively validated intervention researched for decades. Yet most older adults cannot access this training without a specialist.
Synaptic Labs wants to close that gap. If AI can create experiences tailored to each person's life and memories, cognitive healthcare can reach far more people.
Validated reminiscence therapy protocols and the DSM-5 cognitive framework form the foundation of our product.
If the user is the older adult, the decision-maker is the family. Both perspectives are built into the product.
Because we handle personal photos and health data, security and ethics come before everything else in development.
"Memory is not simply information. It is the time a person has lived."
— Synaptic Labs