DeepDB makes your organisation’s data and knowledge usable by AI agents. We bring together data management, knowledge management and software engineering to turn AI potential into working applications.
AI agents need reliable data and knowledge in context. We provide both through connected systems, clear data models and knowledge that people and machines can use. Across industries and within your IT environment.
We turn your requirements into working data and knowledge solutions. From architecture and implementation to operation, we build the foundation for AI agents in your organisation.
We develop data models, knowledge models, software and interfaces. This gives AI agents access to the information and functions they need for your specific tasks.
Discuss use caseWe integrate solutions into your IT environment and support their operation through monitoring, maintenance and support. Access rights, data quality and traceable workflows are part of the design.
Discuss use caseProf. Dr. habil. Michael Kaufmann is CTO and Managing Director of DeepDB and Professor for Databases at Lucerne University of Applied Sciences and Arts (HSLU). Our team combines research expertise with software engineering and operational experience. Together, we put data and knowledge to work.
Data architecture, AI, strategy. Professorship and research at HSLU.
Marketing, Communication, ICT.
Finance, Legal, HR.
Support, Monitoring, Maintenance, Security.
Development, Integration, Testing, Deployment.
Development, Integration, Testing, Deployment.
Tell us about your plans. Which data needs to become accessible? What knowledge is missing from your workflows? Together, we identify where data management and knowledge management can make the greatest difference.
Answers about data management, knowledge management and our work with AI agents.
Data management connects systems, structures data and ensures its quality and availability. Knowledge management captures the meaning behind it: concepts, relationships, rules and domain expertise. Together, the two streams provide the information foundation for AI agents.
We build the data and knowledge foundation and develop the necessary interfaces. This helps AI agents find relevant information, use context and integrate into existing workflows. Together, we define which tasks to automate and where people review or approve the results.
We design the architecture around your systems, security requirements and operational needs. This includes integrating existing data sources and applications with controlled access rights. Where needed, we implement solutions on your own infrastructure.
Prof. Dr. habil. Michael Kaufmann is CTO and Managing Director of DeepDB and Professor for Databases at Lucerne University of Applied Sciences and Arts. His research focuses on databases, big data management and data science. His official HSLU profile is linked in the team section.
We start with a free introductory conversation about your plans. Together, we review your data sources, available knowledge, intended tasks and IT environment. We then develop a concrete approach with a transparent project plan.
