Founder
Physician × Executive
Hiroyuki Kogure, Representative Director and CEO / Chairman, Morgenrot Medical Corporation
Runs a medical corporation that sees roughly 300,000 outpatients a year,
and still serves as a nursery school physician (the founder's personal background)
Field Access
6 Clinics Operated
The medical corporation the founder chairs operates
six pediatric, ENT, and internal medicine clinics in Tokyo
Track Record
20+ Apps in Operation
Using generative AI, the founder spent two years in clinical settings
personally building and running an HR evaluation OS, an internal social network, AI medical charting, and more (the founder's personal track record)
Challenges

The "fragmented interruptions" facing healthcare and long-term care settings

Why now — the No. 1 and No. 2 labor shortages are both on our front line
Job openings per applicant — 1st
Security work
18.55×
Job openings per applicant — 2nd
Care services
8.29×
The assumption that hiring can fill the gap no longer holds. That is exactly why supporting the front line with technology becomes a necessity.
Source: Ministry of Health, Labour and Welfare, Tokyo Labour Bureau, "Job Openings and Applications by Occupation" (厚生労働省 東京労働局「職種別有効求人・求職状況」), March 2026, regular employment total
01
The burden of night rounds and monitoring
With a skeleton night-shift team, the pressure of running scheduled rounds while responding to sudden changes in condition never lets up.
02
Medication and meal delivery routes
Repeated trips to rooms and tables take away the time that should go to speaking with and observing residents.
03
Round trips carrying supplies and specimens
Shuttling between the storeroom, pharmacy, laboratory, and wards, nurses walk for hours each day.
04
Interruptions from calls and wayfinding
Frequent calls and guiding people around the facility undermine concentration and the accuracy of procedures.
05
Searching for things and duplicate record-keeping
Time disappears into hunting for equipment, supplies, and records, and into double entry between paper and systems.
JMAR addresses these structurally
with Physical AI
As a partner that amplifies what people can do, rather than replacing them.

Give people their time back.
Never let the people who work hard work too hard.

Not a world where people are replaced, but a world where people can focus on "truly human care." Removing the "fragmented interruptions" of healthcare and care settings, and reclaiming the time for people to be present with people.

Over the past two years, at the six clinics run by the medical corporation he chairs, the founder has built and operated more than 20 internal systems — an HR evaluation OS, an internal social network, KPI visualization, AI voice charting, and more (this is the founder's personal track record). Physical AI is the natural extension of that work. It takes support that used to end inside a screen and widens it into a "brain" that actually works on site.

What We Do — Phase 1

Starting with "reducing routine tasks"

We are not a company that builds humanoid robots. We build the "brain" that coordinates multiple robots, people, and work, and we provide hands-on rollout support until the new way of working takes hold. We start with seven areas of task support that are easy to deploy on site.
Step by step, we build an environment where nurses and care workers can focus on the care they are there to give.

📦

Transport

Automated transport of supplies, linens, specimens, and medications. No more round trips between the storeroom and the floor.

🍱

Meal and medication delivery

Carries meals and medication to rooms and tables, protecting the time staff need for checking and for speaking with residents.

🌙

Rounds

Automates scheduled night rounds, so staff can concentrate on responding to sudden changes in condition and on direct care.

🧰

Supply replenishment

Regular replenishment of consumables, medical materials, and linens. Removes the worry of running out of stock.

🛎️

Nurse call first response

AI answers calls first, sorts out what is being asked, passes it on to staff, and helps them decide what to handle in what order.

📝

Record entry

Automatically keeps a record of transport, rounds, and monitoring, in a form you can use for review and for required reports, so there is less copying out by hand.

🧹

Cleaning support

Routine cleaning of shared spaces and corridors. Maintains hygiene standards while easing the burden on staff.

* For our medium- to long-term direction, please see the "Roadmap" section below.

Target Facilities

Facility types we focus on

Centering on chronic-phase and long-term care settings, we are establishing software and ways of working that actually run on site.
We put our "brain" on top of robots that already exist, and advance real-world adoption together with the front line, starting in the areas where long-stay residency and night staffing place a heavy burden.

Target areas
Long-term care hospitals (kaigo ryōyōgata byōin)
and chronic-phase hospitals
A setting where the night-shift burden, and the burden of keeping long-stay patients in view, can both be structurally reduced.
Automating scheduled night rounds
Medication and meal transport
Supply and linen replenishment
Target areas
Special nursing homes for the elderly (tokubetsu yōgo rōjin hōmu)
and fee-based homes for the elderly (yūryō rōjin hōmu)
A setting where staffing shortages are serious. We design how the work is divided together with you, centering on the night hours.
Room monitoring and checking in on residents
Supply transport on the floor
Cleaning support for shared spaces
Target areas
Long-term care health facilities
(kaigo rōjin hoken shisetsu, "rōken")
Balancing support for returning home with moderate-to-advanced care. We structure how work is divided between rehabilitation and care staff.
Transfers to and from the rehabilitation room
Rounds of rooms and the dining hall
Record entry support
Target areas
Integrated facilities for medical and long-term care (kaigo iryōin)
and convalescent rehabilitation wards
Facilities that deliver medical care and long-term care as one. We untangle workflows that mix nursing and care work.
In-ward supply and medication transport
Recording night-time responses
Night monitoring

* Home care and hospice are target areas as well. For the staff who support people living in their own homes, the burden of rounds and checks has the same structure as it does in a facility.
For facility types not listed above, please feel free to contact us through the inquiry form.

Target Outcomes

Outcomes we are aiming for with deployment

The figures below are verification targets set from prior research in Japan and abroad and from the problems the founder has seen in clinical settings. They are still targets, not measured results. We do not yet have a single number that lets us say "we cut this many minutes." Actual effects vary depending on facility size and operational design.

Target
-10 to -20%
Nurse walking distance
Target
-30 to -50%
Number of work interruptions
Assumed
200 runs/day
Assumed automated transport runs (mid-size facility)
Target
-50%
Time spent searching for items
Expected
Improvement
Staff satisfaction and retention
Expected
Reduction
Effort spent on checks and rework

* The figures above are verification targets set before deployment, not measured results. As each one is verified, we plan to publish it together with the conditions under which it was measured.

Roadmap

Healthcare Physical AI, evolving across three phases

We are not aiming straight for a future in which "humanoids do everything."
We solve step by step, starting where the front line genuinely needs it.

What we are working on now
Phase 1 / Now
Reducing routine tasks
Robots, sensors, and AI take over routine work, easing the burden on the front line right away.
Transport Meal and medication delivery Rounds Supply replenishment Nurse call first response Record entry Cleaning
Phase 2 / Medium term
Watching over, and noticing sooner
We aim to use technology to structurally reduce the night-shift burden of "watching over the hours in which nothing happens."
Phase 3 / Long term
Taking on advanced care
Into areas where the burden runs high. Working from ethics, safety, dignity, and accountability by design, we implement first where the front line genuinely needs it.

* The start of each phase may come earlier or later depending on technology maturity, on-site validation results, and regulatory developments. Which areas we enter, and in what order, we will write about once we are able to. For now we share the direction only. For Phase 3, we begin by working through how ethics, safety, and dignity are to be safeguarded, together with the front line and with families.

Company

Company Overview

Legal name Japan Medical AI Robotics, Inc. (abbreviated: JMAR)
Founded May 26, 2026
Business Physical AI for healthcare and long-term care: software for monitoring, rounding, and transport robots, plus hands-on rollout support until the new way of working takes hold. We do not build hardware ourselves; the design is hardware-neutral and not tied to any particular robot model.
Representative Hiroyuki Kogure, Representative Director and CEO (Chairman, Morgenrot Medical Corporation)
Capital ¥10 million (capital increase in progress)
Head office 6-8-32 Kasugacho, Nerima-ku, Tokyo 179-0074, Japan(〒179-0074 東京都練馬区春日町 6-8-32)
Website https://medical-ai-robotics.com
Intellectual property Eight patent applications filed on core technologies (contents not disclosed)
Contact contact@medical-ai-robotics.com

Contact

From deployment inquiries, demos, and on-site interviews to investment, media inquiries, and people who simply want to build this with us.
Please feel free to reach us through the form below. "I would just like to talk for 30 minutes first" is reason enough. We normally reply within two to three business days.

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