Long recordings are difficult to reuse
Critical moments are buried inside hours of video, making review and teaching material creation highly manual.
Physician-reviewed surgical knowledge infrastructure
Surgical video is recorded.Surgical know-howis hard to retain.
Recordings preserve the procedure. They rarely preserve why a surgeon made a decision, what risk they recognized, or how they responded. MY ROBOTS extracts that know-how, places it under physician review, and converts it into reusable surgical knowledge.
Physician reviewed
Timestamped
Procedure specific
CONCEPT UIDesign and specifications subject to change
MY ROBOTS / AI Surgical MentorScroll to understand the system
01 / Why this matters
The video remains.
The reasoning often does not.
A recording shows what happened. It rarely preserves why an experienced surgeon changed course, recognized a risk, or chose one response over another.
Judgment stays inside individuals
The rationale behind decisions is often shared verbally, inconsistently, or only after the right question is asked.
Institutional memory remains fragmented
Valuable experience is hard to search, compare, validate, and carry forward across teams and generations.
MY ROBOTS builds the missing memory layer between surgical video and clinical learning.
02 / How it works
From evidence
to institutional memory.
AI accelerates the first pass. Physicians determine what becomes trusted knowledge.
Surgical video and permitted audio enter a controlled workflow.
AI proposes decisions, tips, pitfalls, and troubleshooting moments.
A physician approves, edits, or rejects every candidate.
Validated items remain linked to timestamps and source context.
Knowledge supports preparation, case review, and education.
Core design principleAI proposes.
Physicians decide.
Physicians decide.
The product is not designed to replace clinical judgment. It is designed to capture, structure, and extend it.
03 / Product output
A source-linked
knowledge asset.
Not a generic summary. A structured record of clinically meaningful moments, reviewer decisions, and reusable lessons.
Decision pointsTechnical tipsPitfallsTroubleshootingReview historySource timestamps
MY ROBOTSSurgical Knowledge Sheet
Physician reviewedProcedureFocused procedure · de-identified caseReview statusCompleted
4knowledge items
3approved
1edited
DECISIONReconfirm the anatomical landmark before progression
ApprovedApproved by physician reviewer · linked to source moment
PITFALLPotential blind spot during the field transition
EditedEdited for clinical specificity · linked to source moment
TIPTechnique that stabilizes the next procedural step
ApprovedApproved by physician reviewer · linked to source moment
04 / Product concept
See the system,
not only the claim.
These visuals communicate the current product direction. They combine implemented, validation-stage, and planned capabilities; scope will be prioritized through focused pilots.
CONCEPT UIDesign and specifications subject to change
04 / Reuse across the learning cycle
One case.
More than one use.
Prepare with relevant decisions and risks
Review procedure-specific knowledge without searching through full-length recordings.
Reflect on what happened and why
Link clinical discussion to exact moments, reviewer comments, and the surrounding context.
Turn individual experience into shared memory
Build reviewed materials for education, continuity, and procedure-specific learning.
05 / Clinical design principles
Trust is part of
the product architecture.
A knowledge item is only useful if teams know where it came from, who reviewed it, and what changed.
Physician in the loop
AI output remains a candidate until a physician approves, edits, or rejects it.
RequiredTraceable to source
Each item stays linked to the relevant timestamp and surrounding video context.
TimestampedProcedure-specific validation
Quality is defined within a focused procedure and clinical workflow before expansion.
FocusedData governance by design
Storage, access, de-identification, and permitted use follow partner requirements.
ControlledThe product is under development and validation. It is not presented as an autonomous diagnostic system, automated treatment decision maker, or unsupervised real-time clinical guidance service.
06 / Current stage
Prove usefulness
before scaling.
We are hardening the MVP and defining a repeatable physician-review workflow on a focused procedure and limited case set.
MVP development · clinical workflow validation
Planned focused evaluation before broader expansion.
Approval, edit, rejection, usefulness, and reviewer burden.
A standard workflow for upload, analysis, review, and output.
07 / Recognition
Selected programs.
Global pathways.
MY ROBOTS has been selected for competitive healthcare, AI, and global business-development programs. Selection rates are shown only when application totals are publicly available.
2026Selected
JETRO GSAP 2026 — StartX AI Course
- Cohort
- 1 of 20 companies in the AI course
- Selection rate
- Application volume and selection rate for the JETRO course are not public
An AI acceleration program delivered with Stanford-originated StartX, supporting U.S. market entry, business development, mentorship, and Silicon Valley network building. JETRO notes that StartX's existing U.S. program receives more than 300 applications with an acceptance rate below 10%.
Official JETRO page ↗2026Selected
J-StarX US Healthcare Breakthrough — Foundational Course
- Cohort
- 1 of 5 selected companies
- Selection rate
- Application volume and selection rate are not public
A U.S. healthcare market-entry program delivered with Mayo Clinic Platform_Accelerate, Mayo Clinic Berg Innovation Exchange, and Kicker Ventures, providing business-development education, individual mentorship, and ecosystem connections.
Official JETRO page ↗2026Shortlisted
Qualcomm AI Program for Innovators 2026 — APAC
- Cohort
- 1 of up to 15 startups across APAC
- Selection rate
- Application volume and selection rate are not public
An APAC program for startups in Japan, Singapore, and South Korea, supporting edge-AI development and commercialization through Qualcomm Dragonwing and Snapdragon platforms, Arduino Uno Q, Qualcomm AI Hub, six months of one-to-one mentorship, development support, and Demo Day.
Official Qualcomm page ↗View all selected programsExternal links lead to official program pages.
08 / NEWS
Current progress,
published responsibly.
We publish selected-program recognition, product development, pilots, research collaborations, events, and company updates.
SelectionPilots & researchProductCompany
Selected for the JETRO GSAP 2026 StartX AI Course
MY ROBOTS was selected as one of 20 companies in the AI course to advance U.S. market entry and Silicon Valley business development.
Selected for the J-StarX US Healthcare Breakthrough Foundational Course
Selected as one of five companies for U.S. healthcare market-entry support delivered with Mayo Clinic-related programs and Kicker Ventures.
Shortlisted for the Qualcomm AI Program for Innovators 2026 — APAC
Selected among up to 15 startups across Japan, Singapore, and South Korea for edge-AI development and commercialization support.
Corporate website updated with product concepts and selected-program recognition
The site now includes product-concept visuals, current selected-program recognition, and a more maintainable content structure.
View all news Last updated: July 11, 2026
09 / MY ROBOTS
Carry surgical experience
into the future of care.
MY ROBOTS is a healthcare AI startup developing AI Surgical Mentor, a physician-reviewed infrastructure that converts surgical experience embedded in video and audio into reusable knowledge assets.
In 2026, the company is using selected AI, U.S. healthcare-market, and edge-AI programs to advance a focused MVP and pilot-ready workflow.
CompanyMY ROBOTS Inc.
Founded2023
Based inYokohama, Japan
FocusSurgical Knowledge AI
Build the first clinical validation with us.
Start with a focused pilot.
We welcome discussions with surgeons, hospitals, research institutions, medtech companies, investors, and program partners. Submissions are delivered directly to the MY ROBOTS inquiry inbox.
Please noteDo not submit patient information, clinical images, medical records, or other sensitive health data.