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.
Industries
Combine heterogeneous data and spatial information into common operational pictures and support decisions in a traceable way.
Public administrations, utilities and archives work with data from many sources and of very different quality. At the same time, their decisions must be justified and verifiable. For both, we bring methods that we have developed in other fields.
Measured values are incomplete, noisy and sometimes wrong; reports contradict each other. We combine physical models and state estimation with learning-based methods and a language model layer. In the case of ambiguity, the system does not commit prematurely but pursues several interpretations in parallel until the data supports a decision. The result is a common operational picture with a forecast, an uncertainty band and a justification.
We show this using the example of a water supply network: detecting a leak early, locating it and distinguishing it from a mere sensor fault. We describe the method under Hybrid AI & Decision Intelligence.
Aerial and satellite images become verifiable geodata: buildings, vegetation, sealed surfaces, changes. This provides a basis for planning, monitoring and reporting obligations and can be integrated into existing geographic information systems. Learn more under Geoinformation, Environment and Infrastructure.
Archives, libraries and administrations hold collections that cannot be made accessible with conventional text recognition: historical prints, manuscripts, directories with changing structure. Our demonstrators transcribe such originals, match names and places against reference data and make the holdings queryable in natural language, every answer with its source reference. Learn more under Document and Knowledge Intelligence.
| Requirement | Our answer |
|---|---|
| Traceability | Input data, intermediate steps and the justification of every statement remain logged |
| Data sovereignty | Processing in defined regions; models run locally where necessary |
| Vendor independence | The environment is described as code; a qualified third party can take over operation |
| Responsibility | The AI prepares and justifies; a person makes the decision |
How we build and operate such environments is described under AI Environments and AI Operations.
AI Services
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 Technologies
Machine learning combined with mathematical modelling, rules, and technical system models – for statements that show how certain they are.
AI Technologies
Analysing spatial information intelligently and combining it with visual and other data.
AI Technologies
Making large, heterogeneous bodies of information accessible and turning unstructured information into knowledge models that are usable for the business domain.
Solutions
Analysing aerial and satellite images with AI, recognising spatial relationships, and turning geodata into concrete insights.
Solutions
Understanding documents instead of merely reading them: archives, files, and technical documentation become structured knowledge you can query.
Whether a first AI adoption or a complex development task – we discuss the requirements and suitable next steps with you.