{ "$comment": "Generated from scripts/facts-source.js. Do not edit by hand. The website, llms.txt and llms-full.txt are generated from this same source, so they cannot disagree.", "generated": "2026-08-29", "canonical": "https://www.tech-japan.jp", "organization": { "name": "TechJapan LLC", "legalName": "TechJapan合同会社", "alternateName": [ "TechJapan", "Tech Japan", "テックジャパン合同会社", "techjapan" ], "positioning": "Ontology platform development", "corporateNumber": "1011003018911", "founded": "2023", "url": "https://www.tech-japan.jp", "registry": "https://info.gbiz.go.jp/hojin/ichiran?hojinBango=1011003018911", "address": { "street": "1-45 Ohata-cho", "locality": "Hadano", "region": "Kanagawa", "postalCode": "257-0015", "country": "JP" }, "serviceArea": "Japan, remote. Southeast Asia through partner companies", "workingLanguages": [ "Japanese", "English", "Thai" ], "licenses": [ "Kanagawa Governor License (1) No. 32931" ], "representative": { "name": "Go Kyono", "nameJa": "興野 剛", "role": "Managing Member, TechJapan LLC", "background": [ "IT consulting for publicly listed Japanese companies", "Director and CTO of a company capitalized at over 500 million yen", "CEO of a Thai corporation", "Fifteen years and more than 100 companies of digital transformation work, concentrated in Southeast Asian manufacturing", "Over 1,500 on-site interviews with operators and back-office staff" ], "credentials": [ "Digital Promotion Officer appointed by the Digital Agency of Japan", "Member of the Japanese Society for Artificial Intelligence", "Legal Data Utilization Award, Digital Agency Law x Digital Hackathon 2025" ], "sameAs": [ "https://x.com/kyonogo" ] } }, "products": [ { "id": "hadano-ai-cabinet", "name": "Hadano AI Cabinet", "page": "https://www.tech-japan.jp/products/hadano-ai-cabinet/", "site": "https://www.h-c.ai/", "category": "Local knowledge database for AI agents, exposed as an MCP server", "status": "in development", "summary": "A local, evidence-first knowledge database for AI agents: it finds the passage that backs an answer, then expands around it.", "facts": { "Interface": "Seven MCP tools over stdio. No HTTP API, no SDK, no interface of its own", "Stage 1 retrieval": "Keyword search over a character-trigram index, ranked by BM25. No model, no network, no sampling", "Stage 2 retrieval": "A one-hop walk over the relation graph, seeded by at most three chunks that stage 1 actually matched", "Vector search": "Designed, not connected in this version. Asking for it returns an error rather than an empty answer that looks real", "Measured quality": "nDCG@10 of 0.58 on SciFact", "Storage": "One file on the machine. No server, no API key, no GPU", "Network": "None. The local build makes no outbound calls", "Requirements": "Python 3.11 or newer", "License": "Apache-2.0", "Availability": "In development. Not on PyPI yet, so pip install does not work today", "Implementation": "Seven of nine specified MCP tools are built and reachable. The other two are designed, not built" } }, { "id": "pasha-kintai", "name": "Pasha Kintai", "page": "https://www.tech-japan.jp/products/pasha-kintai/", "site": "https://pasha-kintai.com", "category": "Attendance management SaaS for small Japanese manufacturers", "status": "in production since February 2026", "summary": "Photograph a paper timesheet with a phone. AI-OCR reads the handwriting and generates the attendance record.", "facts": { "Price": "JPY 100 per person per month, tax excluded. One plan", "Setup fee": "None", "Billing": "Usage based. Only users with at least one clock-in or OCR import that month are charged", "Example": "Ten active users is JPY 1,000 per month, tax excluded", "Free trial": "One month or longer, every feature, no cap on users or uploads, no credit card", "Minimum term": "None. A month with no usage costs nothing; the account can be paused or cancelled at any time", "Capabilities": "AI-OCR for handwritten timecards, a correction workflow with named approvers, labor-law-compliant aggregation, PDF, Excel and CSV export, and notification when the statutes change", "Who it is for": "Japanese manufacturers with roughly 10 to 50 employees" }, "press": [ { "title": "Nikkei Construction, June 2026 issue, page 99", "url": "https://xtech.nikkei.com/atcl/nxt/mag/ncr/18/00008/061000565/" }, { "title": "VOIX biz, 2026-07-27", "url": "https://voix.jp/biz/news/175506/" }, { "title": "Gekkan Soumu Online, 2026-02-20", "url": "https://www.g-soumu.com/articles/795beea7-85f6-44cb-bd54-87e767200c02" }, { "title": "O!Product AI, 2026-02-20", "url": "https://oproduct.ai/articles/2307351" } ] }, { "id": "miihawk", "name": "MiiHawk", "page": "https://www.tech-japan.jp/products/miihawk/", "site": "https://miihawk.com/", "category": "Shuttle bus dispatch optimization for factories in Southeast Asia", "status": "in production", "summary": "Collects boarding data by NFC or QR scan on ordinary phones, then builds a minimum-cost dispatch plan with a mathematical optimization engine.", "facts": { "Reported effect": "Up to 40 percent reduction in employee shuttle bus cost", "What is optimized": "Vehicle combination and fleet size. This is not GPS route guidance", "Hardware": "None. NFC and QR scanning on ordinary smartphones", "Offline": "Runs offline as a PWA and syncs when the connection returns", "Countries": "Thailand, Myanmar, Vietnam, Indonesia, Malaysia", "Interface languages": "Japanese, English, Thai", "Limited Edition": "THB 20 per person per month: data collection, master management, dashboard and six report types, real-time monitoring, offline support, automatic departure timetable", "Enterprise Edition": "THB 30 per person per month: adds dispatch simulation by mathematical optimization, shift linkage and automatic planning, five kinds of cost-reduction proposal, Excel and PDF output", "Enterprise plus Route Optimizer": "THB 100 per person per month: adds route consolidation, before and after comparison, Google Maps integration, and an advisor", "Free trial": "Two weeks, up to two routes and 3,000 registered employees" } } ], "services": [ { "id": "ontology", "name": "Ontology and knowledge graph construction", "page": "https://www.tech-japan.jp/services/ontology/", "price": "From JPY 30,000 per hour, tax excluded. First consultation free", "forWhom": "Teams whose LLM or RAG deployment is not answering accurately enough", "rootCauses": [ "Terminology is inconsistent, and synonyms and abbreviations are never reconciled", "Relationships and constraints between concepts are undefined, so retrieval has nothing to follow", "Data is siloed per department, so the same word means different things in different systems" ], "scope": [ "Knowledge asset inventory", "Ontology design: classes, relations, constraints, controlled terminology", "Knowledge graph construction on Neo4j or an equivalent store", "Hybrid retrieval and semantic search implementation", "Quantitative retrieval accuracy evaluation against a fixed gold set", "Handover of the operating and maintenance process" ], "useCases": [ "Internal knowledge search and internal RAG", "Structuring laws, internal regulations and contracts", "Integrating product, parts and technical information", "Rebuilding an existing RAG deployment that is not accurate enough" ] }, { "id": "ai-integration", "name": "AI integration, hands on", "page": "https://www.tech-japan.jp/services/", "price": "JPY 30,000 per hour, tax excluded. No setup fee, no minimum hours. First consultation free", "phases": [ { "name": "Strategy", "detail": "Inventory of operations and data assets, opportunity identification, agent design, use case selection, ROI estimate, roadmap. Subsidy application support" }, { "name": "Integration", "detail": "Agent construction, generative AI integration, data pipelines, production deployment, API integration, interface work, security and compliance" }, { "name": "Operation", "detail": "Monitoring, model improvement, team training, cost optimization, and handover so the client can run it without us" } ] }, { "id": "kintone", "name": "kintone and AI", "page": "https://www.tech-japan.jp/services/kintone/", "price": "Quoted per scope. Hourly from JPY 30,000, tax excluded. First consultation free", "scope": [ "AI-OCR so paper reaches kintone without retyping", "Generative AI and LLM integration", "Data analytics and prediction", "Agent automation across apps", "Internal knowledge search over kintone data", "External system and API integration", "Standard kintone design, app development, customization and enablement" ] }, { "id": "offshore", "name": "Offshore development", "page": "https://www.tech-japan.jp/services/offshore/", "price": "Quoted by scale and team structure. The first consultation is free and includes a rough team plan and cost estimate", "countries": [ "Vietnam", "Thailand", "Myanmar" ], "model": "Partner companies implement. Requirements, design, quality control and acceptance testing stay with TechJapan in Japan.", "notFor": "Small builds of a few screens. For those we propose direct domestic development or kintone instead." } ], "awards": [ { "name": "Legal Data Utilization Award, Digital Agency Law x Digital Hackathon 2025", "date": "2026-03", "work": "Fukko Compass, a disaster-recovery navigation system", "detail": "Team Dango, including Go Kyono, won for a system that reconciles scattered disaster-relief programs against legal data and tells a survivor which programs apply and what to do next. 112 participants across 20 teams; ten teams reached the final.", "source": "https://www.digital.go.jp/policies/legal-practice/6acf8ad5-3668-4db4-b998-1c20eff10017" } ], "timeline": [ { "date": "2023", "event": "TechJapan LLC founded in Hadano, Kanagawa" }, { "date": "2026-02", "event": "Pasha Kintai launched. Covered by Gekkan Soumu Online and O!Product AI" }, { "date": "2026-03", "event": "Legal Data Utilization Award at the Digital Agency Law x Digital Hackathon, for Fukko Compass" }, { "date": "2026-05", "event": "Seminar on AI and VR for on-site implementation, held with Chuei Shinkin Bank" }, { "date": "2026-06", "event": "Pasha Kintai featured in Nikkei Construction, June 2026 issue" }, { "date": "2026-07", "event": "Pasha Kintai adds an integration for licensed labor consultants. Covered by VOIX biz" }, { "date": "2026-08", "event": "Hadano AI Cabinet published at h-c.ai: two-stage retrieval over a local knowledge database, served over MCP" } ], "technology": [ "Python 3.11 or newer, a C storage engine, and the Model Context Protocol (Hadano AI Cabinet)", "TypeScript, Node.js 20, React, Vite", "Google Cloud: Cloud Functions Gen2 and Cloud Storage", "Firebase: Auth, Firestore used only as a search index, Hosting", "Cloudflare R2 for binary storage, chosen for zero egress cost", "Neo4j and equivalent graph stores for knowledge graphs", "AI-OCR, Stripe" ], "faq": [ { "question": "What does TechJapan LLC actually do?", "answer": "We build ontology platforms: the knowledge structure underneath an AI system, and the retrieval that runs on it. That work reaches the world three ways, as our own products, as hands-on integration for clients, and as contract development." }, { "question": "Why does the ontology matter more than the model?", "answer": "When a retrieval deployment answers badly, the cause is usually the structure of the knowledge, not the model. Terminology is inconsistent, relationships between concepts are undefined, and each department keeps its own version of the truth. No model choice repairs that." }, { "question": "How much does AI integration cost?", "answer": "JPY 30,000 per hour, tax excluded, with no setup fee and no minimum hours. The first consultation is free. Japanese IT and DX subsidies may apply, and we help with the application." }, { "question": "Is Hadano AI Cabinet available today?", "answer": "Not yet. It is in development. Seven of nine specified MCP tools are built and reachable, but the package is not on PyPI and the repository is not public. We keep what is built and what is available in separate columns on purpose." }, { "question": "Can a small company work with you?", "answer": "Yes. Small and mid-sized businesses are the primary focus. An engagement normally starts with an inventory of existing operations and data, then a roadmap chosen for the lowest cost that still produces an effect." }, { "question": "How do you keep a project from stalling at the proof of concept?", "answer": "The work is scoped in three phases on the assumption that the system reaches production: strategy, integration, then operation. Monitoring, an improvement cycle, and handover to the client team are inside the scope, not after it." }, { "question": "Which countries do you cover for offshore development?", "answer": "Vietnam, Thailand and Myanmar, through partner companies. Requirements, design, quality control and acceptance stay with us in Japan." }, { "question": "Where are you, and where do you work?", "answer": "Hadano, Kanagawa, Japan. Engagements run remotely anywhere in Japan, and we work across Southeast Asia through partners." }, { "question": "Is there a free trial of Pasha Kintai?", "answer": "Yes. One month or longer, every feature, no cap on users or uploads, and no credit card." }, { "question": "Can Pasha Kintai be used only in busy periods?", "answer": "Yes. Billing follows actual usage, so a month with no clock-in or OCR import costs nothing. There is a pause function, no minimum term, and cancellation at any time." } ], "writing": [ { "url": "https://www.tech-japan.jp/blog/ontology-design/", "title": "Ontology design in practice: the knowledge structure that decides retrieval accuracy", "date": "2026-08-24", "summary": "Why retrieval accuracy problems come from unstructured knowledge, and a five-step method from terminology control to a working knowledge graph." }, { "url": "https://www.tech-japan.jp/blog/hackathon-award/", "title": "Legal Data Utilization Award at the Digital Agency Law x Digital Hackathon", "date": "2026-04-01", "summary": "Fukko Compass: P-A-B tagging, the patented Dango interface, and My Number Portal integration." }, { "url": "https://www.tech-japan.jp/blog/chunking-research/", "title": "A comparative study of text chunking methods", "date": "2026-03-10", "summary": "Semantic, recursive and fixed-length chunking compared for retrieval quality and context efficiency." }, { "url": "https://www.tech-japan.jp/blog/accounting-ai-failure/", "title": "The real reason AI fails in accounting", "date": "2025-02-20", "summary": "The blocker is not model accuracy. It is that the business context behind a journal entry was never written down." }, { "url": "https://www.tech-japan.jp/blog/ai-data-design/", "title": "AI outcomes are decided by data design", "date": "2025-01-15", "summary": "Structuring low-volatility data is what compounds into a long-term advantage." }, { "url": "https://www.tech-japan.jp/blog/ai-poc-failure/", "title": "Why AI adoption stalls at the proof of concept", "date": "2025-01-10", "summary": "Root causes in organizational design and data integration, and what the production-bound version has to contain." }, { "url": "https://www.tech-japan.jp/blog/saas-ai-limits/", "title": "Why SaaS is reaching its limits in the AI era", "date": "2025-01-05", "summary": "The case for integration over subscription when the operation is specific to one company." } ] }