Your team’s knowledge,
the world’s data —
assets AI and people can use
Know-how that lives only in someone’s head, and public information like laws and subsidy programs — we make both something AI and people can put to work. Nihonbashi AI Lab is an AI-native lab covering in-house system development, AI operational memory, our own AI products, and training in AI-driven development.
Four ways we put knowledge to work with AI
Nihonbashi AI Lab turns documents, data, decision criteria, and workflows into knowledge assets AI can reference — through in-house system development, AI operational memory, training in AI-driven development, and our own AI products.
In-house business systems, built with AI-driven development
For work that off-the-shelf software never quite fits, we build applications shaped around how your team actually works and decides. AI-driven development compresses design, implementation, and iteration, so a working system arrives in weeks, not quarters.
- What we doprocess mapping, requirements design, custom application builds
- Typical targetsquoting, daily reports, approvals, project tracking
- How we workstart small with AI-driven development, improve in production
AI operational memory
Using memory infrastructure such as Hindsight, we organize decision criteria, procedures, customer history, and project context into a form AI agents can recall. Knowledge that used to depend on one person becomes operational memory, and AI picks up where the last conversation ended.
- What we domemory design, setup, and operating rules
- What it coversdecision criteria, procedures, customer and project history
- How we workstart with a small memory bank, refine it in daily use
Training in AI-driven development
Hands-on programs where your team builds real tools with Claude Code and Lovable. This is not a tool demo: we work through requirements, implementation, review, and operations until AI-driven development becomes part of how your team ships.
- What we dotraining, hands-on workshops, guided real projects
- Typical themesinternal tools, business apps, prototypes
- How we workpractice over lectures — build first, then systematize
Our AI products
Through GoOCR and Kokai Data, we turn documents, images, PDFs, and public or specialist data into knowledge AI can read and cite. The design and operations lessons we learn from running our own products flow back into every client engagement.
- LineupGoOCR, Kokai Data
- Domainsdocuments, images, PDFs, public and specialist data
- Valuea knowledge base AI can read and cite
Products that connect knowledge to AI
With GoOCR and Kokai Data, Nihonbashi AI Lab turns documents, images, PDFs, and public or specialist data into knowledge assets AI can read and cite.
Text, tables, figures, photos — all extracted
GoOCR opens up documents locked in PDFs and images, turning them into text you can copy, search, and download. It handles vertical Japanese text, handwriting, and chart-heavy documents while preserving structure.
Visit gocr.aiJapanese public data, connected to AI
Kokai Data turns Japan’s public and specialist information — corporate registrations, subsidies, laws, statistics — into a knowledge base AI can cite, with every answer linked to its source.
Visit kokai.aiThe stack that connects AI, data, and operations


Lasting wisdom,
a new way of working
Nihonbashi, the historic heart of Tokyo commerce, is a district where centuries-old merchant houses and new ventures share the same streets. Preserve what matters, adopt what works — that attitude is what we bring to building in the AI era.
We keep the wisdom that people and organizations have accumulated, and recast it in a form AI can work with. Deciding what to change and what to keep, we shape what work and learning look like next. That idea is written into the name Nihonbashi AI Lab.
Put your dormant knowledge
to work with AI
Business documents, decision criteria, customer history, field expertise, past proposals. We turn the knowledge sitting idle in your organization into assets AI can reference, reason over, and act on.