Attention, corporate world! Your AI is hallucinating. Use graph power to combat misleading information!
Digital transformation isn't all about blessings: Many companies are drowning in a flood of information, while valuable knowledge is trapped in confusing silos. Added to this is the latest threat: friendly, chattering, but unfortunately not always entirely reliable AI assistants that provide plausible, yet fabricated answers – the infamous AI hallucinations. Without sources and traceability, this poses a real risk for companies that rely on reliable data, security, and compliance.
Fortunately, our CEO Thomas Gomell showed the best way out of this chaos at the web conference "AI-supported solutions in corporate use" on October 15, 2025! His presentation "More than AI: How organizations become learning superorganisms“ provided the blueprint for a future in which productivity, compliance and creativity go hand in hand.
Watch the recording now:
The game changer: GraphDB + AI + humans
The core message is clear: The future lies not in AI alone, but in collective intelligence, which combines knowledge, people, and technology. The solution is the combination of graph database, people, and AI. The foundation is the aikux.Brain, the first enterprise platform that enables precisely this collective, networked intelligence. The aikux.Brain is committed to breaking down knowledge silos and increasing efficiency.
The aikux.Brain tackles the problem of Knowledge silos and AI hallucinations directly to:
- Networked knowledge: Instead of storing data in isolation, content is connected through relationships using a knowledge graph. The graph structure (GraphDB + LLM) enables AI to understand relationships, not just data. The GraphRAG approach combines knowledge graphs and vector search.
- Explainable answers: This is where GraphRAG comes in! GraphRAG ensures that the AI specifically accesses relevant nodes in the network. The AI provides answers with context and reasoning that can be traced back along a path in the graph. The result is explainable, auditable, and trustworthy.
Security and sovereignty come first
The aikux.Brain is built from the ground up to meet the highest enterprise requirements, leaving hallucinating black-box AI behind and delivering comprehensible, explainable results:
- GDPR compliance: The system is 100% GDPR compliant and runs **on-premises or in the EU cloud**. Data never leaves the EU.
- No model training: Your sensitive data will never be used to train AI models.
- Transparency: You receive traceable, explainable results with maximum data sovereignty. Audit logs for all interactions are available.
The role of migRaven.MAX in the superorganism
Thomas Gomell is the founder and managing director of aikux Service GmbH and migRaven GmbH. He has been involved in the design, migration, and restructuring of corporate data and access rights for decades.
The aikux.Brain helps companies restructure their knowledge and break down silos. Our products, such as migRaven.MAX, support this strategy of data structuring and control. migRaven.MAX can optionally be included in the aikux.Brain cost model.
If the aikux.Brain is the engine for collective intelligence that makes the entire company smarter, then we ensure that the underlying database is tidy, secure, and optimally prepared to feed this living knowledge superorganism.
And finally ... The presentation showed how we can move from rigid databases to a vibrant network of people, AI and knowledge This is the innovative leap that business departments, managers, and IT managers need to become faster, more secure, and more creative.
You should take a look at this right away:
- Discover the technology: Learn more about the Knowledge Graph and GraphRAG (Technology that provides context, justification, and multi-hop reasoning).
- The enterprise solution: Everything about the aikux.Brain and how it makes your business smarter (first enterprise platform for collective intelligence).
- The basics of data structure: How migRaven helps create the basis for efficient, compliance-safe decisions.
