AI Services
AI Environments
The environment in which your AI is allowed to work: model access, data connection, access rights, and operations, as the foundation for every further application.
AI Services
AI Adoption
Getting started with artificial intelligence (AI): clarify the starting point, select a viable first use case, and define the technical path to it.
Typical starting point
You want to use AI but do not yet know how to begin, technically and organizationally.
What we do
- AI potential analysis and technical assessment of the starting point
- Selection and prioritisation of specific use cases
- Selection of suitable AI models and operating models
- Clarification of the requirements for security, data protection, and operations
- Technical support for the first application
What you receive
- A described first use case with a clear benefit and available data
- A technical solution approach with named prerequisites
- A basis for deciding on the environment and the pilot application
Whoever provides an AI environment, connects the first data sets, and implements the first use case gets to know how a company works. That is why we do not start only where a task has already been formulated in technical terms, but with the question of where AI delivers value in your organisation first.
A good first use case has three properties: the benefit can be clearly stated, the data is available, and the result can be verified against agreed criteria. We describe the technical foundation for this under AI Environments.
Further topics
AI Services
AI Development
We develop the methods that turn your data into reliable results: machine learning, AI pipelines, agents, multimodal analysis, and hybrid models.
Solutions
Custom AI Applications
Your idea becomes a usable application: as a web application, assistance system, interface, or part of an overall technical system.
Approach
From the first idea to the usable AI solution.
Understand the task and the data
Which question is to be answered, which data is available, and in what quality?
Set up the AI environment and architecture
Models, data connections, access rights and the operating model are defined and set up.
Develop and evaluate the application
A first end-to-end workflow with real data, tested against agreed criteria.
Integrate and advance the solution
Integration into your systems, handover or agreed operation, step-by-step expansion.
Would you like to make AI usable in your company?
Whether a first AI adoption or a complex development task – we discuss the requirements and suitable next steps with you.