Understand and Test
Artificial Intelligence

Multimodal AI - understanding data and reality

Multimodal systems combine different types of data such as text, images, audio or sensor data.

Typical applications include

• Damage detection in insurance companies
• Quality control in industry
• Fraud detection in the financial sector

These systems enable a more comprehensive understanding of complex situations.

Generative AI - content generation

Generative AI creates new content based on data and models.

This includes

• Texts and reports
• Software code
• Analyses and summaries

Typical fields of application are copilots, chatbots or automated knowledge processing.

Agentic AI - systems that act

Agentic AI describes systems that not only analyze or generate, but also actively act.

They make decisions and execute processes, for example

• automatic scheduling
• autonomous workflows
• Decision support in real time

The greatest added value is created when understanding, generation and action are combined.

Functional Quality

Does the system fulfill its intended purpose?

Safety and robustness

Does the system function reliably even under unusual conditions?

Fairness and bias

Does the system make fair and non-discriminatory decisions?

Explainability and transparency

Are decisions comprehensible and explainable?

Governance and compliance

Does the system meet regulatory requirements and can it be audited?