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Applied AI for English-Japanese business.

I built these four working prototypes around real organizational problems.
Komon makes AI initiatives defensible. Noroshi makes external change visible.
Tōgō makes messy data usable. Tsukai makes questions answerable.

Selected Work

AI Strategy

Komon

Komon analyzes organizational data to rank AI opportunities and flag risks, data gaps, and weak-fit ideas. It helps your team decide what to investigate first — and what to avoid for now.

Intelligence

Noroshi

Noroshi monitors the intersection of AI and the supply-chain landscape, surfacing external signals that may change strategic priorities before they become obvious.

Data Preparation

Tōgō

Tōgō prepares messy cross-regional operational data for AI use by cleaning, mapping, and standardizing fragmented inputs into reliable analysis-ready form.

Analytics

Tsukai

Tsukai lets managers ask operational questions in natural language and receive grounded answers from business data without writing SQL or reading dashboards.