Source: Y! finance

Executive Summary

<aside> Japan’s elder-care system has a measurable attention deficit. Persimmon Quest addresses this through non-diagnostic, AI-assisted cognitive engagement, brain-health monitoring, staff workflow support, and longitudinal care-context infrastructure.

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Persimmon Quest is building a non-diagnostic AI-assisted brain-health and elder-care attention infrastructure for Japanese long-term-care facilities. The platform combines resident-facing cognitive engagement, session-based brain-health data capture, staff workflow support, and longitudinal care-context generation through the qBand Controller, qPad Oasis, and qCore Pillar ecosystem.

The first deployment wedge is Oita Prefecture, where a smaller and aging regional care market allows pilot validation. Aichi Prefecture provides the second-stage scale-validation market, with a larger institutional care base and stronger industrial ecosystem. Japan represents the lead national market, with expansion potential across ASEAN and East Asia as regional elderly-care demand rises toward 2030.

Persimmon Quest’s first market is the institutional elder-care attention layer in Japan. Oita alone contains roughly 171 core long-term-care institutions and about 9.2k institutional residents, while Aichi contains roughly 512 core institutions and 42.2k residents.

Nationally, Japan has about 13.6k core long-term-care institutions and 933k institutional residents, within a broader base of 7.08M certified support/care-need persons and more than 36M people aged 65+. By 2030, Japan’s 75+ population reaches roughly 22.5M–22.8M, while ASEAN’s 60+ population exceeds 100M and East/Northeast Asia’s older population exceeds 300M.

This creates a clear wedge: prove AI-assisted attention, cognitive engagement, and longitudinal brain-health monitoring in Japanese facilities, then scale into certified-care and preventive-care markets across Asia.

The analysis estimates Persimmon Quest’s opportunity through four layers: institutional facility TAM, certified care-need TAM, AI-assistable attention demand, and token/infrastructure demand. This approach connects demographic aging to real facility deployment, product usage, qCore compute requirements, and projected economic impact.

TAM hierarchy for Persimmon Quest

We split the assistive geriatric care market into four layers:

For Persimmon Quest, the most investable wedge is not “all elderly people.” It is:

AI-assisted attention and cognitive-care infrastructure for formal elder-care facilities, starting with high-need residents, then expanding into preventive monitoring and home/community care.

Cost of A 3D Brain Model

MRI-constrained EEG Data Moat

Japan: official care system basis

The market should be measured across four layers: core long-term-care facilities, certified care-need populations, high-risk preventive-care populations, and regional Asian expansion markets. For Japan, the most reliable market base is the Long-Term Care Insurance system, which provides official data on insured elderly persons, certified care-need persons, facility-service recipients, and institutional care facilities.

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The "insurance calculation" refers to a specific metric called the Standardized Care Time (要介護認定等基準時間). This is an estimate of how many minutes of care per day a person requires, calculated by a computer algorithm based on a 74-question survey of their daily activities. The insurance level is determined by this standard. This is not the actual time a helper visits, but a statistical estimate of the "burden of care" required for 5 categories of tasks:

1. Direct Care: Bathing, eating, toileting assistance.
2. Indirect Care: Laundry, cleaning, cooking.
3. Dementia Care: Managing wandering, forgetfulness, or agitation.
4. Functional Training: Rehabilitation exercises.
5. Medical Assistance: Help with medication or medical devices.

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Japan’s official care-need categories presented in range: