We combine in-depth industry expertise with state-of-the-art AI technology. Our hybrid AI approach combines classic machine learning models, deep learning and generative AI - for example for precise predictions, intelligent text processing or automated decision-making processes.
With agent-based analysis and response systems, we orchestrate
multi-agent frameworks that perform complex tasks independently, overcome system boundaries and can be flexibly and scalably integrated into existing environments such as SAP HANA or internal data sources.
Whether risk model, chatbot or research agent - together with our customers, our experts develop a customised strategy that sustainably improves their day-to-day digital work.
Customised AI solutions for financial service providers
We combine sound advice with state-of-the-art technologies
Our full-stack approach is based on Python, Flask and Streamlit, supplemented by powerful interfaces via REST APIs, SQL and remote functions for SAP HANA systems.
In the area of machine learning, we rely on supervised and unsupervised processes, deep learning and specific models for clustering, anomaly detection or domain-specific forecasts such as casting predictions. Generative AI and agent frameworks such as LangChain and LangGraph enable dynamic, context-based response systems – combined with KnowledgeGraphs and optional human-in-the-loop for critical decisions.
Visual models such as DocLing, OCR technologies and structured JSON output are used for document processing – ideal for analysing contracts or energy certificates.
Automated e-mail processes, report generation and chat apps round off our portfolio. This is how we create end-to-end solutions - from data integration and analysis to smart communication. Always customised, always industry-oriented.
- Development of a holistic AI strategy
- Development and implementation of applied AI solutions for the automation and optimisation of data-driven business processes
- Design and deployment of AI agents that can make autonomous decisions and intelligently support operational processes
- Design and implementation of collaborative AI frameworks for effective collaboration between humans and AI systems
We do not offer a ready-made product, but rather a toolbox that our customers can use to organise their daily tasks more efficiently. We work closely with our customers to identify use cases in which our range of services can create added value for any organisation.
Our customers decide on the scope of functions, the connection of the desired systems and data sources as well as the authorisation management. In this step, they work with us to define functional and non-functional requirements for their solution and outline their customised digital assistant.
Our experts work closely with our customers and their users to develop and implement a customised intelligent assistant in their IT infrastructure and ensure smooth commissioning through regular testing and further development of the solution.
