Agentic AI
Individual model calls become controllable systems based on a division of labour: specialised agents handle subtasks, use tools, and work together in verified workflows.
AI Technologies
Current AI technologies. Solid engineering.
Seven fields of expertise in artificial intelligence (AI), one shared approach. The technologies are not separate business units but tools that we combine as the task requires.
What they have in common: unlocking complex data sources, linking information, detecting relevant states and deriving usable results from them. Machine learning is the foundation of all seven fields; how we work with it is described under AI Development.
Multimodal AI
Every data source has its strengths and limits. The result becomes reliable when text, images, audio, sensor data, and geodata are interpreted together.
Document & Knowledge Intelligence
Making large, heterogeneous bodies of information accessible and turning unstructured information into knowledge models that are usable for the business domain.
Vision AI
Image-based and video-based AI, grown out of many years of experience in industrial machine vision.
Sensor Fusion & Physical AI
Combining information from different physical measurement sources – camera, radar, LiDAR, and other sensors – as the basis for systems that act in the real world.
GeoAI & Spatial Intelligence
Analysing spatial information intelligently and combining it with visual and other data.
Hybrid AI & Decision Intelligence
Machine learning combined with mathematical modelling, rules, and technical system models – for statements that show how certain they are.
For you We combine your measurement data with models of your system and deliver forecasts with a stated uncertainty and a rationale.
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.