
Silicon Valley’s Cutting Edge, Transformed into Japan’s Future Strategy.
We transform Silicon Valley’s complex trends into clear, actionable strategies that resonate with Japanese executives.
▶ Schedule a Free ConsultationThe “information gap” caused by Silicon Valley’s rapid technological innovation and market changes is an urgent challenge for many Japanese companies. A mere translation of information fails to capture the essence; translating it into practical strategies tailored to corporate culture and organization is essential, and this gap will only widen if left unaddressed.
Drawing on over 30 years of deep experience and a unique network built at the heart of Silicon Valley, we serve as a powerful bridge connecting your company with Silicon Valley across both culture and strategy. Beyond simply reporting on trends, we provide bespoke strategies and insights that resonate deeply with Japanese corporate culture and translate directly into immediate business results.

Thirty years inside the Silicon Valley ecosystem. Shinya studied ECE and computer science at Carnegie Mellon and began his career as a semiconductor design engineer at LSI Logic, then moved to the business side — scaling a design-goods brand to 600+ U.S. retail locations including MoMA, leading the California expansion of okonomiyaki brand Tsuruhashi Fugetsu, driving DX at SOMPO Group, and serving as CTO of WPP Japan. He is currently CTO of Koto Inc. Having crossed engineering, retail, and management, he evaluates technology by a single question: will it hold up as a business?
Our reports are not merely a collection of information. Grounded in data and tailored to the Japanese market context, they deliver actionable strategic intelligence — reflecting the real-world perspective of Japanese expatriates and residents living in Silicon Valley.

Annual transaction volume exceeding $5 trillion , a thorough analysis of the U.S. market — a “battlefield of giants” where the top 10 companies hold 83% of the market . Analyzing the P&L structures of mega-issuers such as Amex, Chase, and Capital One through “spend-based” and “lend-based” lenses , defining three strategic archetypes for achieving success 。
From the depths of points transfer networks , to Bilt’s innovative model connecting rent payments all the way to home purchases , and further to a roadmap for the “next archetype” Japan should aspire to . Beyond mere case studies, with over 100 pages of meticulous data analysis , this is the essential report for business strategy planning, targeting the future of revenue models.
▶ Inquire About This ReportAnalysis of AI and technology developments in Silicon Valley, translated into the context of Japanese business — grounded in hands-on testing.
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Japan's globalization debate focuses on sending people out; the return trip is rarely designed for. Drawing on 30 years in Silicon Valley, this piece examines how institutional complexity becomes a decision cost — and what Japan loses when talent, capital, and knowledge stop circulating.
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The U.S. Social Security number and Japan’s My Number system serve different purposes, but both illustrate the benefits and risks of personal identifiers. This article explains why identification, authentication, authorization, and recovery must be designed as separate functions.
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Preventing data breaches is essential, but what happens after information is exposed matters just as much. Drawing on more than 25 years in the United States, this article examines how individuals and companies can limit post-breach damage.
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Building a Chrome extension that surfaces Claude usage at a glance and taking it through to publication on the Chrome Web Store. AI adoption begins not with enterprise strategy but with the friction in front of you.
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A B2B ordering site built on WordPress four to five years ago was migrated in full to Next.js and Supabase. What determined the outcome was not the AI agent implementation speed but the resolution of the requirements definition that preceded it.
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A flood of bot traffic took an e-commerce site offline. A field report on using AI agents to diagnose the cause and block it at the CDN layer, cutting problematic traffic by roughly 70 percent in half a day.
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