Intelligent sensor technology and AI-based software for real-time condition monitoring of gearboxes and drive systems
Inmox GmbH
Vienna (Mariahilfer Straße 123/3, 1060) · Vienna (Maria-Jacobi-Gasse, MQM 3.2, 1030)New on Amplifa
About Inmox
Inmox GmbH is a deep-tech startup founded in Vienna in 2021, launched by two TU Wien graduates. The company develops a condition monitoring system for gearboxes and drive systems: a sensor installed directly in the lubricant circuit detects metallic wear particles using highly precise magnetic measurement and characterizes their size, material and quantity in real time – independent of lubricant flow rate and also with slowly rotating components. The data is transmitted securely to a cloud platform where machine-learning algorithms detect patterns, identify damage at an early stage, assign it to component groups and predict remaining service lives. Maintenance recommendations are delivered to the responsible personnel via dashboard, app or e-mail. The retrofit design enables easy integration into new and existing systems, complementing existing monitoring solutions. Target industries are aerospace, wind power/energy, shipping as well as industry and plant engineering. The cloud infrastructure is GDPR-compliant.
- Site
- Vienna
- Processes
- Intelligent sensor technology for condition monitoring of gearboxes, Predictive maintenance / AI-based damage models, Real-time monitoring of lubricant circuits, Retrofit integration into existing systems, Data evaluation via cloud platform (GDPR-compliant), Maintenance recommendations via dashboard, app, e-mail
- Materials
- Magnetic Particle Measurement, Machine-Learning Analysis
- Certificates
- GDPR-compliant cloud infrastructure
- Founded
- 2021
- Employees
- 2–10
- Industries
- Aerospace, Wind power/Energy, Shipping, Industry/Mechanical engineering, Plant engineering, Automation
- 01
Sensor integration directly in the lubricant circuit
- 02
Real-time detection of the size, material and quantity of metallic wear
- 03
Secure data transmission to the cloud platform
- 04
AI-supported data analysis and early damage detection
- 05
Generation of maintenance recommendations
- 06
Notification via dashboard, app or e-mail
Measurement Methods & Data Technology
Magnetic Particle Measurement
Highly precise magnetic measurement detects metallic wear particles in the lubricant circuit independent of flow rate.
Machine-Learning Analysis
AI models analyze measurement data in real time, detect damage patterns and predict component service lives.
Locations
Vienna – Mariahilfer Straße
ATHeadquarters/Office
Vienna – Maria-Jacobi-Gasse
ATPrimary location (LinkedIn)
System Components
Inside the production
Industries
Processes & technical limits
| Processes | Tolerance | Max. part | Weight | Lot size | Materials |
|---|---|---|---|---|---|
| Testing | – | – | – | – | metallic wear particles |
| Engineering | – | – | – | – | – |
1 Anlagen & Maschinen
| Machine | Manufacturer / model | Quantity | Working area | Year built | Site |
|---|---|---|---|---|---|
| Wear sensor for gearbox/lubricant circuit (magnetic measurement, retrofit) | Inmox | – | – | – | Vienna |
Additional services
Data Quality & Security
Data evaluation takes place via a GDPR-compliant cloud infrastructure; measurement data is transmitted securely and analyzed in real time.
| Evidence | Vienna |
|---|---|
| GDPR-compliant cloud infrastructure |
History
- 2019
Project start as CDplus
- 2020
Proof of Concept
- 2021
Founding of Inmox GmbH, aws PreSeed funding, admission to the INiTS and TUW i²c incubators, project presentation at the European Forum Alpbach, joined the advisory board of the Austrian Wind Energy Association
- 2022
aws Seed financing, seed financing round, laboratory prototype, Falling Walls Venture finalist, move to a new office on Mariahilfer Straße
- 2023
Tech team grows
- 2024
First field test installation, market entry in the European region
- 2025
Growth to 9 people, planned expansion into overseas markets
- 2026
Two new employees, participation in a delegation to the Asia Clean Energy Summit in Singapore