Physical AI for Healthcare and Caregiving | Japan Medical AI Robotics
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)
six pediatric, ENT, and internal medicine clinics in Tokyo
personally building and running an HR evaluation OS, an internal social network, AI medical charting, and more (the founder's personal track record)
The "fragmented interruptions" facing healthcare and long-term care settings
with Physical AI
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.
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.
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.
and chronic-phase hospitals
and fee-based homes for the elderly (yūryō rōjin hōmu)
(kaigo rōjin hoken shisetsu, "rōken")
and convalescent rehabilitation wards
* 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.
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.
* 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.
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.
* 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 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 |
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.