Products
Three products. We wrote all of them, and we operate all of them.
Specified, designed, built, run and supported in house. Contract work uses the same stack and the same people, which is the only reason we are willing to describe either one honestly.
At a glance
What each one is
| Product | What it does | Status |
|---|---|---|
| Hadano AI Cabinet | Local, evidence-first knowledge database for AI agents, served over MCP | In development |
| Pasha Kintai | Attendance management for small Japanese manufacturers, from a photograph of the paper timesheet | Production, since February 2026 |
| MiiHawk | Shuttle bus dispatch optimization for factories in Southeast Asia | Production |
01
Hadano AI Cabinet
An evidence-first knowledge base for AI agents: it finds the passage that backs an answer, returns it verbatim from the stored original, then expands around it. For one agent it runs over the Model Context Protocol with the knowledge in one file on that machine; for a team, an optional process you run yourself serves the same database over HTTP with keys and grants.
v2 is in development on a storage engine we wrote in C. The retrieval rules are checked by machine before the engine ships, and the same gate is green on Windows x64 and Linux x64. Nothing is installable today, and the specification, measurements and limits are kept at h-c.ai rather than here. Python 3.11 or newer.
02
Pasha Kintai
Photograph the paper timesheet with a phone; AI-OCR reads the handwriting and produces the attendance record, aggregated under Japanese labor law. JPY 100 per person per month, tax excluded, billed only for people who actually clocked in that month.
Covered by Nikkei Construction, Gekkan Soumu Online, VOIX biz and O!Product AI.
03
MiiHawk
Boarding data from an NFC tap or QR scan on an ordinary phone, then a minimum-cost dispatch plan from a mathematical optimization engine. Runs offline and syncs later. Available in Thailand, Myanmar, Vietnam, Indonesia and Malaysia. Reported effect: up to 40 percent less shuttle bus cost, per a customer case published on miihawk.com.