Surgical intelligence, built together with doctors.
An AI platform that trains surgical models with surgeons as co-owners — validated in a virtual operating room and ready to deploy into robotic systems.
- MedTech
- AI
- Surgical Robotics
- Doctor Partnership
Surgical expertise is the largest un-digitized asset in medicine.
Millions of routine procedures consume the time of the world's best surgeons — and none of their expertise compounds.
- 600M+routine surgeries / yearKnee arthroscopy, cataract, appendectomy — millions of standard procedures every year.
- −30%surgeon shortage by 2030Doctors spend time on routine cases instead of the complex ones where they are irreplaceable.
- 0%digitized surgical expertiseThe knowledge of top surgeons is never converted into a scalable digital asset.
- $0royalties to doctors from AINo fair model exists where doctors earn revenue from their expertise inside AI.
Surgical knowledge is not digitized as a systemic asset — a massive missed opportunity.
A platform for surgical AI.
We are building a startup that develops surgical AI training models together with doctors. Doctors are partners and co-owners — not just a source of data.
First model
Built with the first key doctor-partner for one specific procedure.
Scaling
The platform extends to more doctors and specializations.
AI modules
Each doctor builds their own AI model from their practice and expertise.
Royalty stream
Doctors receive a share of the revenue their model generates.
Ecosystem
A surgical-AI marketplace for clinics and robotic platforms.
A platform to scale surgical expertise through AI.
A reproducible pipeline — from the operating room to licensing.
We collect not just video, but structured training data for surgical AI.
A reproducible technology pipeline: from the OR to licensing.
Multimodal collection of surgical data.
Not just video — structured training data for AI.
External cameras
Fixed multi-angle views from several points across the operating room.
Depth / LiDAR / 3D
Spatial positioning and scene-depth data of the surgical field.
Motion tracking
Tracking of hands, instruments and the surgeon's positioning.
Voice commentary
The doctor's explanation during and after the operation.
Timestamps
Action sequences, stages and key decisions.
Stage annotation
Marking correct and incorrect actions.
Key: we collect not just video, but structured training data for surgical AI.
A training ground for surgical AI.
A virtual operating environment where the model rehearses, and the surgeon examines.
- The model reproduces the operation in a simulation.
- Thousands of training and correction cycles.
- Doctors evaluate as mentor and examiner.
- Full logging: success, failure, deviation.
- 01Model training
- 02Sandbox rehearsal
- 03Doctor validation
- 04Clinical release
The model trains to validated quality and safety benchmarks — not to “100 % success”.
The doctor supervises — the model learns.
In the virtual sandbox the trained model performs simple routine procedures step by step. The surgeon watches from any angle and rules on every action — like a mentor examining a resident.
A checkpoint on every action
Each step waits for the mentor to approve, add advice or correct it.
Any angle, full control
The mentor inspects the field from any angle and up close.
Feedback becomes training
Every rejection with a comment goes straight back into the model.
The doctor isn't watching a black box — they teach the model, action by action.
The doctor as the owner of intellectual property.
A doctor's participation becomes a long-term asset — not a one-off consultation.
Equity / Shares
An ownership stake in the startup as a partner and co-founder.
Model ownership
Ownership of the specific AI model / module of a surgical specialization.
Royalty stream
Royalties for every use of the model in clinics and robotic systems.
License payments
Revenue from operations performed with AI / robotic assistance.
Doctors monetize their expertise as an intellectual asset with long-term income.
From one doctor to an ecosystem.
The first doctor is the starting point — not the limit of the project.
- Stage 01
Pilot: one specialization
The first doctor-partner, a specific type of operation, a proof-of-concept.
- Stage 02
Expansion: more doctors & procedures
New surgical specializations, other doctors, clinics, international partners.
- Stage 03
Ecosystem: a surgical-AI marketplace
A library of AI models for any surgical field, licensed to clinics and robotic platforms.
The first doctor is a starting point, not the boundary of the project.
We build the intelligence — not necessarily a robot from scratch.
A partnership-based strategy: we license AI, we do not build robots from scratch.
AI licensing
Selling licenses for trained surgical AI models to existing robot manufacturers.
Joint integration
Partnering with surgical robotic-platform developers to integrate AI modules.
White-label / OEM
Supplying AI components as OEM solutions for medical robotic systems.
A partnership-based strategy: we license AI, not build robots from scratch.
Intellectual property, patents & technology protection.
Every element is a protected intellectual asset with long-term value.
Data-collection system
A patent on the multimodal surgical data-collection system.
AI training methods
A patent on AI training methods using expert surgical operations.
Virtual environment
A patent on the virtual operating environment for training and validation.
Human-in-the-Loop
A patent on the validation framework with the doctor as mentor.
Doctor + AI + Royalty
A patent on doctor-trained AI bound to a royalty system.
Brand & legal structure
Trademark and IP-ownership boundaries between company, doctors and partners.
Each element is a protected intellectual asset with long-term value.
A window of opportunity.
Three forces are converging at once — and the strongest position is the first one.
Technology convergence
AI, robotics and surgical simulation have matured enough to combine into a single platform.
First-mover advantage
A window for early IP and patents — whoever builds the protected platform first gains the strategic advantage.
Doctors as owners, not consultants
A new MedTech wave lets doctors become full owners and royalty earners.
The strongest position is now
The first partner gets the most influence over platform design, the largest stake and IP rights.
Now is the time to claim a key position in the emerging surgical-AI segment.
What we expect from the first doctor-partner.
We are looking for a strategic partnership — not just permission.
Expert participation in developing the pilot.
Access to the surgical process in an agreed format.
Defining the stages, quality criteria and annotation parameters.
Participation in reviewing simulations and training the model.
Discussing the partnership and IP structure.
Joint work on the proof-of-concept.
Your contribution is a strategic partnership, not a one-off consultation.
The experts behind the platform.
A team uniting surgical practice, artificial intelligence and robotics — building the platform together with doctors.
Oleksandr Poletaiev
Founder & CEOSets the vision and leads the partnership with doctors.
Dr. Igor Porcuk
Founder & AdministratorBuilds the organization and partnerships, keeping collaboration effective.
MUDr. Martin Holinka, Ph.D.
Chief Medical OfficerDefines the surgical standards and leads the dialogue with doctors.
Vadym Okhota
Director of ML/AI & DevelopmentBuilds the data pipeline and the surgical AI models.
Let's build the first surgical AI module together.
The first doctor-partner gets the most influence, the most equity and the most IP — and shapes the platform from day one.
Move to a working meeting to discuss the details.
Define the pilot surgical direction together.
Agree on the partnership format and IP structure.
Launch the roadmap: data → AI → sandbox → prototype.
We propose to build together not just a project, but a new platform — where surgical expertise becomes a scalable AI asset with long-term value for doctors.