Architecture & Cloud

liquidTMS is based on a cloud-based system architecture that is designed for stable operation,
secure data processing and scalable liquidity planning.

Applications, data processing and data storage are clearly separated from each other.
This means that the platform remains stable even with increasing data volumes.
Individual system areas can be operated and secured independently of each other.

Secure, scalable infrastructure: Microsoft Azure
Hosting in Germany: GDPR-compliant data protection
Container-based architecture: Stable, separate processes
Isolated data rooms: clear separation of all customer data

System architecture of the liquidTMS platform

The cloud architecture of liquidTMS combines data integration, data processing, forecast calculation and secure cloud infrastructure in a clearly structured platform.

All system components work in separate layers and enable stable and scalable processing of financial data.

Data sources & system integration

Bank accounts, ERP and financial accounting systems as well as planning systems are connected via standardised interfaces. Multibanking standards, APIs and structured data imports enable the integration of existing system landscapes.

liquidTMS application platform

The platform processes integrated financial data within a container-based architecture. Application components are operated independently of each other and can be flexibly expanded.

Data management & system structure

Financial data is stored in a structured manner and processed in a consolidated manner. The application and database run in separate containers, which means that system components remain clearly isolated from each other.

Prediction models & machine learning

Cash flow forecasts are calculated on the basis of individual forecast models. Machine learning models are trained per system instance and remain completely separate from other customer data.

Cloud infrastructure on Microsoft Azure

The platform is operated on Microsoft Azure and utilises the security, scaling and monitoring functions of the cloud infrastructure. Hosting takes place in data centres within Germany.

Container-based system architecture

liquidTMS uses a container-based architecture based on Docker containers to run the platform components. The application and database are operated in separate containers.

The container architecture offers several advantages:

  • Independent scaling of individual system components
  • Clear system structure
  • Stable execution of forecast calculations
  • Simplified maintenance and updates

Individual system areas run independently of each other and can be operated separately. This means that the platform remains stable even under high loads and can be expanded flexibly.

Client separation and isolated data processing

Each liquidTMS instance runs in an encapsulated, client-specific system environment. Financial data, forecasting models and system configurations are processed and stored exclusively within this environment.

Machine learning models for forecasting are also created individually for each system instance and are based exclusively on the data of the respective company.

There is no utilisation or mixing of data between different companies.

Questions & answers about the liquidTMS architecture

Where is the data processed and stored?

liquidTMS is operated on Microsoft Azure and hosted in data centres within Germany.

This means that data processing and storage are subject to German and European data protection regulations.

Is our data separated from other companies?

Yes. Each liquidTMS instance runs in its own isolated system environment.

Data, forecasting models and configurations are processed strictly separately and are not shared between companies.

Is our data used for other customers or models?

No. Forecast models are created exclusively on the basis of the data of the respective company.

This data may not be used for other systems or analyses.

How is the stability of the platform ensured?

The platform is based on a container-based architecture with separately scalable system components.

Individual areas run independently of each other so that the system remains stable even under high loads.

What happens with increasing data volumes or usage?

The cloud infrastructure enables flexible scaling of computing power and storage.

Additional capacities are provided automatically without compromising system stability.