MOZI TPS

JSON twin: https://www.healthaidb.com/software/mozi-tps.json

Company Name

Manteia Technologies

Product URL

https://www.manteia.com

Company URL

https://www.manteia.com

Categories

Summary

MOZI TPS is a next-generation treatment planning system by Manteia Technologies, integrating precision, speed, and adaptability to enhance radiotherapy planning.

Description

MOZI TPS is a comprehensive treatment planning system designed for radiotherapy, offering features such as Monte Carlo dose calculation, GPU-powered computation, vendor independence, seamless automation, and real-time adaptive planning. It supports various treatment techniques, including 3D-CRT, IMRT, VMAT, SBRT, and on-line adaptive therapy. The system utilizes deep learning for auto-contouring and auto-planning, and provides multi-scenario support for diverse clinical scenarios. MOZI TPS is FDA-approved and has been validated in over 1,200 clinical centers worldwide.

Api Available

yes

Certifications

Company Founding

2017

Company Offices

Compliance

Customers

Data Residency

US/EU regions

Data Standards

Deployment Model

Features

Id

SW0336

Integration Partners

Integrations

Languages Supported

Last Updated

2025-10-11

License

Commercial

Market Segment

Optional Modules

Os Platforms

Pricing Details

Contact vendor for pricing information.

Pricing Model

Enterprise_Quote

Privacy Features

Product Code

SW0336

Product Name

MOZI TPS

Ratings

Regions Available

Related Urls

Release Year

Security Features

Specialties

Support Channels

System Requirements

CentOS 7.7, Ubuntu Server 20.04, Java SE 11, Vert.x 3.9.1, Spring 5, Apache Ignite 2.4.0, BouncyCastle 1.59, Jackson 2.9.5, RXTX 2.2.2, Junit 5.x, Junit 4.x, logback 1.2.3, Morena scanner library 7, SonarQube 6.7.3 LTS, SonarLint v3.5, GitHub 2.7.x, SonarQube 6.7.3 LTS, Maven 3.53.x, Docker 18.03.x CE, Ansible 2.2, GitHub actions, Travis, Glowroot, Prometheus, Grafana, Python 3.x, ActiveMQ, Apache Kafka, Hazelcast, MinIO, SonarQube with OWASP plugin, Nginx, KeyCloak

Target Users

Training Options

Type

product

User Reviews

Version

1.0

Alternatives

See related products

Canonical JSON