We free experts from tedious routine.
We streamline workflows and optimize decisions.
We automate and optimize decision-making in your daily workflows.
With our experience and that of our partners, we support the conception and design of intelligent software agents for automating decisions in processes, as well as the necessary transformation of these processes. We free people from tedious routines.
Our software agents automate simple and complex tasks, including: autonomous players, medical diagnostics, and optimization of decision-making processes. They plan solutions, execute them, and learn from feedback from their environment and users. By generating plausible hypotheses, continuously validating and evaluating them, they effectively support experts in decision-making.
We automate and optimize relevant decisions in business processes. In interdisciplinary teams, we develop the necessary steps for the transformation of these processes. The intelligent software agents we design learn by observing process steps or by achieving predefined goals.
We support you in building a knowledge base generated from internal business data, which serves as the foundation for AI algorithms to enable automated, intelligent decisions.
In all our projects, we rely on open standards and intuitive, user-friendly solutions that make the work of domain experts easier, even without technical know-how.
Discover the potential of intelligent agents! Contact us for a no-obligation, individual consultation! We always look forward to exciting projects!
From Data Acquisition/Collection to Decision Support
We divide the ML development process into three buckets.
- Analysis and definition of the technical hypothesis and objectives
- Data analysis and training of the algorithms, e.g. for the classification of data such as text, images, etc.
- Planning and decision making based on the results of the previous stages.
We concentrate on the first and third areas and are supported by competent partners in the middle area.
Future-proof your business
Boost efficiency, reduce costs and save valuable resources by automating relevant decisions in your workflows.
The development and maintenance of individual software is becoming increasingly expensive, which drives up the cost of automating processes with individual software. No-code platforms offer a way to reduce costs through reusable building blocks. However, in order to maximize flexibility, these systems should be supplemented with intelligent building blocks. This is where self-learning software agents come into their own.
Autonomous software agents learn either through trial-and-error, by observing work steps, or through user preferences to make decisions within workflows independently. They can also generate useful suggestions for the next steps for the user without actually executing the actions. In critical situations, humans are often irreplaceable.
Information extracted from your organization's valuable data often serves as an important element and basis for decision-making. Your data is transformed into a knowledge graph, a coherent network of information and relationships between them. This captures the meaning of the data and thus provides an ideal basis for many algorithms from the field of AI.
Your reliable partner
We support and accompany you, depending on the state of digitization, in the analysis and transformation of crucial workflows. Our focus is on automating relevant decisions within your processes.
We design and develop self-learning software agents that learn their behavior by observing your work steps or predefined goals. We focus on open and sustainable methods, such as open international standards.
Our services include:
- Support in the analysis and transformation of relevant processes
- Designing a knowledge graph from your valuable data
- Analyzing possible parameters and goals for an agent
- Designing and integrating suitable software agents
Depending on the use case and requirements, autonomous software agents are based on the results of proven methods from computer vision, natural language processing and symbolic, probabilistic or neural inference. We implement them by integrating subsystems - open source or from partners - based on, for example, large language models or object recognition.
Our Services
Analysis and transformation of (business) processes
Many decisions are embedded in business processes and other workflows. We support you in analyzing and transforming these processes for the use of autonomous software agents.
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Building a knowledge base for decision making
We transform your valuable data into a knowledge graph, mapping the meaning of your information and the relationships between it as a network. This knowledge base enables your individual data to be used by common AI algorithms. We have experience in building such knowledge bases, focusing on open standards.
Design and implementation of software agents
The clear separation of software agents from their environment favors clear interfaces and events. Complex decisions are often based on experience from previous analyses, such as the classification of images, recognition of objects, or extraction of information from text. We support you in analyzing the environment and the target function of the agents and work together with specialists. In our experience, knowledge bases such as knowledge graphs are useful for providing up-to-date knowledge to software agents and other ML algorithms. Together with our partners, we ensure efficient implementation, taking into account current standards and methods.
