Prepare junior training
Organize the scenes and points that should be reviewed before and after a procedure.
Surgical video review and education software for hospitals
Software that works with existing recordings. No dedicated hardware required.
Turn surgical videointo teachable,reviewable moments.
MY ROBOTS organizes key scenes, decision rationale, cautions, and responses from recorded procedures. Physicians review what is retained before it is used for junior training, case review, and procedural learning.
For surgical departmentsUses existing recordingsPhysician review required
Primary users are surgeons. Adoption is typically evaluated by department leaders, training leads, academic hospitals, and innovation teams.
CONCEPT UIDesign and specifications subject to change
MY ROBOTS / AI Surgical MentorScroll to understand the system
Benefits first
Support training, case review, and skill transfer.
The product is not built to showcase AI. It is built to make surgical learning easier to find, explain, review, and share.
Preserve expert reasoning
Capture why an experienced surgeon chose an approach, recognized a risk, or changed course.
Run focused case reviews
Return directly to relevant moments and support more productive review discussions.
Share learning across the department
Reduce reliance on memory and ad hoc explanations by organizing lessons by case and procedure.
Today
- Videos are stored, but key moments are difficult to find.
- Review and teaching materials require substantial manual work.
- Expert reasoning remains fragmented and person-dependent.
With MY ROBOTS
- Key scenes and knowledge candidates are organized with timestamps.
- Physicians approve what can be reused for learning and review.
- Knowledge becomes searchable, comparable, and shareable across teams.
Time savings and clinical value will be measured and validated through focused PoCs.
Who it is for
Clear users. Clear buyers.
Surgeons use the workflow. Surgical departments, academic hospitals, education leaders, and innovation teams evaluate adoption.
Share judgment without repeating every explanation from scratch.
- Document decision rationale and cautions
- See where trainees need more guidance
- Turn experience into department learning
Know what to look for before and after a procedure.
- Understand the next visual cue
- Learn reasoning and common pitfalls
- Review similar cases
Build a repeatable model for surgical learning.
- Reduce variation in teaching
- Use recorded cases more effectively
- Support skill transfer and case review
Typical adoption stakeholders
Surgical department leadersTraining and education leadsHospital innovation / digital teamsAcademic and simulation centers
01 / Why now
More procedures are recorded.
Review time is not increasing.
A recording alone does not become training. Someone still has to find the right moment, explain the judgment, and turn the case into something others can learn from.
Finding the right moment takes time
Educational and review moments remain buried inside long recordings.
Expert judgment is rarely explicit
Technique is visible, but risk recognition, reasoning, and course correction often require additional explanation.
Teaching depends on individual capacity
Busy clinicians need a more repeatable way to prepare and share case-based learning.
Move beyond video storage and make recorded procedures useful for review and skill transfer.
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.
From interest to PoC
Start small. Prove value before scaling.
We begin with one procedure, a limited set of cases, and a clear evaluation plan.
Introductory consultation
A 30-minute conversation to clarify the clinical need, users, and available recordings.
Define the scope
Select the procedure, target cases, expected outputs, and review workflow.
Run a focused PoC
Test ingestion, AI-assisted extraction, physician review, and output creation.
Evaluate the value
Assess usefulness, review burden, time required, and next deployment decision.
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 / Founder & company
Turning a problem seen in the OR
into a practical learning workflow.
Yoichi MiyazakiFounder & CEO
Yoichi has spent approximately 30 years in the medical-device industry across cardiovascular, orthopaedic, medical-disposable, infection-control, and robotics businesses. Across operating-room environments, he repeatedly saw that valuable judgment and practical know-how often remained in conversations and individual memory.
MY ROBOTS is not building AI for its own sake. The company is building a practical way to support junior training, case review, and skill transfer—with physicians deciding what is retained and hospitals validating what creates value.
“The goal is not to create more recordings. It is to create more learning from the recordings hospitals already have.”
CompanyMY ROBOTS Inc.
Founded2023
Based inYokohama, Japan
FocusSurgical Knowledge AI
See the product. Discuss the workflow.
Request a demo or implementation consultation.
Start with a 30-minute online conversation. We will clarify your target procedure, current recording environment, intended users, and the smallest practical PoC.
Please notePlease do not submit patient information, case images, medical records, or other sensitive clinical data.