Public source
Reviewed 8 Oct 2026
Completeness Fair (22%)
Mozi TPS
ManteiaMozi TPS by Manteia is a vendor-independent, GPU-powered radiation treatment planning system (TPS) driven by artificial intelligence and a Monte Carlo dose engine.
No papers to support — we monitor for new evidence.
General Information
Product name
Company
Workflow phase
Modality
Treatment site
Not specified
Exact structures
Not specified
Regulatory Information
Pathway:
MDR
Class:
Class IIb
Verified by Health AI Register
Other certifications
Not specified
Evidence & Research
No research papers or evidence on file yet.
The registry monitors publications for new evidence.
Technical Specifications
Prerequisites
Defined prerequisite(s)
Treatment technique
Delivery system
Not specified
Workflow features
Patient population age
Not specified
Input
Not specified
Input format
Not specified
Output
Not specified
Output format
Not specified
Integration
Not specified
Integration method
Not specified
API documentation availability
Not specified
API documentation, if publicly available
Not specified
TPS compatibility
Deployment
Not specified
Trigger for AI functionality
Not specified
Processing time
Not specified
Retraining locally
Claims
Not specified
Known limitations
Not specified
Market Presence
On market since
Not specified
AI Platforms
Resellers
Not specified
Countries present
Not specified
Paying clinical customers
Not specified
Research/test users
Not specified
Pricing Information
Pricing model
Not specified
Based on
Not specified
Source: Public | First published: Oct 7, 2026 | Last updated: Oct 8, 2026