The invisible loss
Judgment, caveats, alternatives, pitfalls, and recovery logic often remain spoken or tacit and are hard to reuse later.
MY ROBOTS is building a physician-reviewed workspace that turns permitted surgical records into reusable knowledge for preparation, reflection and education. The goal is not more video. It is to preserve the learning that would otherwise disappear with the case.
For education and knowledge transfer. Not autonomous diagnosis or treatment decisions.
External programs and exhibitions are credibility signals, not customer validation.
Video preserves what happened. It rarely preserves why an experienced clinician noticed something, changed course, or warned the next learner. MY ROBOTS is designed to structure that missing layer with clinician review and hospital governance.
Judgment, caveats, alternatives, pitfalls, and recovery logic often remain spoken or tacit and are hard to reuse later.
Permitted video, audio, and modern AI can draft useful candidates. A reviewed workflow is needed so those candidates become trusted knowledge rather than raw output.
MY ROBOTS is not “just more recording.” It is surgical knowledge infrastructure for preparation, reflection, education, and institutional memory.
The current interface is designed around a simple operating model: capture source material, review evidence, approve reusable knowledge, and return to the exact source moment later.
Start with one procedure and one hospital workflow.
Turn captured evidence into approved, searchable knowledge.
Support preparation, review conferences, and education.
Add procedures, departments, and partner integrations after workflow fit is proven.
Private evaluation UI and workflow structure are already visible in the product screens above.
Clinical validation targets are framed as targets, not achieved results. The company is intentionally avoiding unsupported outcome claims.
The next proof points are structured hospital evaluation, workflow fit, willingness to pay, and repeatable deployment.
Hospital governance, clinician review, provenance, role-based access, and auditability are central to the product direction.
Selection and participation records, with links to the relevant announcements. NVIDIA participation is a company announcement; its external link explains the program.
Participation approved · Sep 2026
NVIDIA Inception program information ↗Selected · StartX AI cohort of 20
Official announcement ↗Selected · Foundational cohort of 10
Official announcement ↗Shortlisted — 15 startups / Mentorship Phase
Official announcement ↗Selected · MedTech
Official announcement ↗Network participation · Aug 2026
Official announcement ↗Scheduled exhibitor · Booth V-83
Official exhibitor list ↗Program participation does not establish customer adoption, clinical efficacy, regulatory approval, investment or product endorsement.
View all programs and sources →Updated: October 5, 2026

Across nearly three decades in medical devices and operating-room environments, the same issue repeated: valuable judgment is often explained in the moment but rarely becomes reusable organizational knowledge.
MY ROBOTS was founded to turn that gap into an institutional learning system while keeping clinicians responsible for what becomes trusted knowledge.
“The scarce asset is not another recording. It is the reasoning that gives the recording meaning.”
MY ROBOTS has advanced through the selection process to the Kanto regional round, scheduled for November 13, 2026 at Station Conference Tokyo.
Read the full announcement →If you would like to discuss investment, hospital evaluation, collaboration, research, or program-related topics, please feel free to contact us. A short introduction to your organization and interests is enough to start.