European AI + Spatial Computing
Developed using real hospital datasets
01
Why This Matters
Annual cost of surgical complications in the EU
European Commission, 2023
Of surgical planning tools remain static and 2D
Lancet Digital Health, 2024
Real-time predictive AI layers deployed in European ORs
Industry analysis
Europe lacks sovereign clinical AI infrastructure. Current surgical tools are fragmented, static, and disconnected from real-time patient data. The operating room remains the last frontier of digital transformation.
02
The Technology
A unified platform that transforms patient imaging into predictive, interactive surgical intelligence — delivered through spatial computing.
01
Multimodal AI Engine
CT/MRI Imaging Analysis
Clinical Data Integration
Intraoperative Parameters
02
Digital Twin Simulation
Risk Prediction Models
Scenario Modeling
Biomechanical Simulation
03
Spatial AR Interface
Real-time Overlay
Hands-free Interaction
visionOS-native Paradigm
Surgical Twin OS — Real-time Digital Twin Interface
Pre-Operative Planning — 3D Anatomical Model
03
Why Now
1
AI Foundation Models
Transformer architectures now handle multimodal medical data at clinical-grade accuracy.
2
Spatial Computing
Apple Vision Pro and visionOS 2 create a viable platform for surgical AR applications.
3
EU AI Act Clarity
Regulatory framework for high-risk AI in healthcare is now defined and implementable.
4
Strategic Autonomy Push
European institutions are actively funding sovereign AI infrastructure in critical sectors.
04
Differentiation
Traditional Planning
Clarity OS
Static 2D images
Predictive 3D simulation
Cloud black-box processing
Federated European architecture
Flat screen interfaces
Spatial AR interface
Retrospective analysis
Real-time intraoperative AI
Fragmented data silos
Unified multimodal pipeline
Concept: AR-guided neurosurgery with real-time digital twin overlay
05
Roadmap
2026
TRL 3
Prototype AI Model
Core multimodal AI engine development. Initial dataset training on hospital imaging data.
2027
TRL 4–5
Clinical Pilot
First hospital validation study. Spatial interface prototype on visionOS. Clinical feedback integration.
2028
TRL 6
Multi-Hospital Deployment
Regulatory pathway initiation. Multi-site clinical validation. Federated learning infrastructure.
06
Market Opportunity
EU Hospital Surgical AI TAM by 2030
CAGR 24.3%
Surgical Navigation Market (Europe)
CAGR 18.7%
Neurosurgical Departments in EU
Primary target
AR in Healthcare (Europe) by 2028
CAGR 31.2%
Sources: Grand View Research, Markets and Markets, Statista, 2024–2025 estimates
07
Strategic Vision
Our long-term vision extends beyond a single product. We are building the foundation for a federated clinical AI network across European hospitals — a sovereign infrastructure that keeps patient data within EU borders while enabling cross-institutional learning.
Federated learning network across EU hospitals
Aligned with Horizon Europe and EU AI Act priorities
Expansion from neurosurgery to orthopedics, cardiac, and spine
European strategic autonomy in clinical AI
08
Team & Collaboration
An early-stage team with deep domain expertise, actively seeking research and clinical partners to co-develop the next generation of surgical intelligence.
Core Team
AI Research
Multimodal AI, computer vision, and medical image analysis. Building on state-of-the-art foundation models adapted for clinical use.
Partners
Clinical Collaboration
Active dialogue with neurosurgeons and hospital innovation departments. Access to anonymized hospital datasets for model training.
Ambition
Grant Consortium
Preparing Horizon Europe and EIC applications. Seeking academic and industry partners for consortium formation.
09
Get Involved
We are actively seeking strategic partners across investment, research, and clinical domains.
Investor Inquiry
EU Grant Collaboration
Clinical Partnership