About

About KIYOMINE

KIYOMINE is an AI development and consulting practice in Tokyo, founded and run by Tsuyoshi Kiyomine, for operations that move: aviation and logistics, inspection and computer vision, IoT, and small and mid-sized companies.

Last updated: September 2026

Track record

Business information

Trade nameKIYOMINE
FounderTsuyoshi Kiyomine (清峰 強志)
Business typeSole proprietorship, registered in Japan
FoundedAugust 6, 2026
Registered officeYamato Building 405, 1-6-16 Kanda-Izumicho, Chiyoda-ku, Tokyo 101-0024, Japan
LanguagesEnglish and Japanese
Contactinfo@kiyomine.com

Founder: Tsuyoshi Kiyomine

Tsuyoshi Kiyomine (清峰強志, also written Kiyomine Tsuyoshi) is a Japanese AI engineer and operations consultant. Born in Hiroshima and a graduate of the University of Tokyo, he has spent his career in startups, running businesses, with a lifelong fascination with aircraft, the sky and space. In August 2026 he founded KIYOMINE, an AI development and consulting practice, and he builds Airffic World, a drone operations and AI inspection platform. The common thread in his work is replacing the step where a person has to be on site, look at something, and decide.

Founder of Airffic World

Airffic World (AI + Traffic) is the product side of the same idea. It gives drone operators live telemetry on a map, a pre-flight checklist that reflects Japan's actual regulations, AI facade inspection that turns uploaded photographs into a ranked defect list, and shift scheduling that treats a staff roster the way an airline treats a crew roster. Kiyomine designs, develops and operates it himself. An overview of the platform is on airfficworld.com, and its step-by-step guide to flying a drone legally in Japan was written for foreign operators who hit the rules first.

How he thinks about operations

Aviation is not unusual because it is dangerous. It is unusual because it kept engineering the danger out, and the engineering turns out not to be industry-specific. Three mechanisms recur in everything KIYOMINE builds:

Checklists over memory

A flight crew reads the checklist aloud after years on the type, because knowing something and having verified it today are different states. Inspection items and shift handovers get the same treatment.

No single point of failure

A twin-engine aircraft keeps flying on one engine. An operation that stops when one experienced person is away has a design flaw, not a staffing problem.

Procedures that survive a handover

Standard operating procedures exist so the night shift does the job the way the day shift does. Writing down the veteran's decision criteria is most of the work of automating them.

He writes about this in Insights, starting with what airline safety practice teaches other operations and how to run drone inspection as a system rather than a skill.

Areas of expertise

Timeline

Work with KIYOMINE

For an initial conversation about adopting AI, designing a proof of concept, or judging whether an existing workflow can be automated at all, there is a free 30-minute consultation in English or Japanese. Inquiries at the "we don't yet know whether AI could do this" stage are welcome.