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AI Engineering

From the right
question to a
working solution.
Weeks, not quarters.

We build custom AI software. From business aspiration to production code — discovery and delivery in the same team. No handoffs.

Build Hero
How We Work

“We begin with the business — with intent. Architecture follows. Code serves.”

Phase 0
Alignment
90 minutes
A hands-on session before any commitment. You experience how DTJ works — how we collaborate, the shape of an engagement.
Phase 1
Architect the Intent
Define the right problem before building the right solution. We map your goals to AI opportunities, stress-test feasibility, and establish the intent that guides everything that follows.
Phase 2
Prove the Concept
Three AI concepts built with your actual data. You see it, test it, challenge it. The prototype earns its way and gets refined to production.
Phase 3
Craft the AI
Working solution deployed to production. The system is documented, the software is yours — built to scale.
From 2 weeks to your AI running in production.
What Makes It Different

Every person on a DTJ engagement holds dual capability — design thinking methodology and technical implementation.

The team that discovers the problem builds the solution. The insight survives into the product.

Build Work
From the Studio
AI Atlas
www.ai-atlas.ai

Continuously updated intelligence on where 199 countries sit in the global AI order: infrastructure dependency, alignment, and which way they are moving.

Explore →
AI Cards
aicards.designthinkingjapan.com

100+ AI capabilities mapped to real business problems. Used by teams across 14 countries to run internal discovery sessions.

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Racing Intelligence
racing.designthinkingjapan.com

Real-time AI race engineering for motorsport. Telemetry into decisions — for the driver, the engineer, the principal.

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Custom AI Engagements
Sports Technology
Live telemetry processing 70,000+ data points per second at under 100ms response time, with natural language race strategy analysis delivered in real time.
→ Decision support at the speed of competition.
Healthcare
Computer vision overlay delivering patient data and imaging directly into the surgeon’s field of view — without disrupting the operating environment.
→ Clinical information at the point of decision.
Distribution
AI system processing distributor patterns, market conditions, and historical data to generate forward-looking inventory and logistics recommendations.
→ Reduced overstock, faster response to demand shifts.
Research
Multi-stream research architecture combining supervised and unsupervised learning across patent filings, academic research, and investment signals. Human-AI feedback loop for continuous pattern refinement.
→ Co-presented with Microsoft across Tokyo, Fukuoka, and Yokohama.
Organizations we’ve worked with
MicrosoftNissanDellRocheTokyo International UniversityMiroSRI
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Tokyo International University engaged DTJ to bring its KAKENHI research programme on civil aviation governance online — now live at airmobilitytracker.org.

The Right Fit

We work with organizations that have a real problem — and the readiness to act on it.

The engagement is senior, hands-on, and time-bound.

The three reinforce each other. Leaders who complete the Academy make better clients. Build clients who want their teams to develop judgment enroll in the Academy. The intelligence work sharpens both.

Explore the Academy