AITEZA - AI Business Solution

In October 2024, the weyer group expanded its range of services with the founding of weyer data engineering gmbh, based in Düren. The purpose of the new company is to develop and operate an innovative AI Business Solution. This AI software is intended to provide both the weyer group and external licencees with the rapidly growing possibilities of using artificial intelligence in everyday professional work. The AI Business Solution AITEZA was designed in a development phase and has been used and further developed in the companies of the weyer group and by external customers since the beginning of 2025.

AITEZA is a secure, non-disclosure agreement compliant AI tool that protects sensitive documents and provides validated, traceable knowledge. AITEZA overcomes the weaknesses of other AI tools by providing knowledge bases in structured, user-specific data rooms. It is possible to switch to different AI models at any time, which are best suited to individual needs. In this way, the potential to achieve optimum results can be optimally utilised.

The main shareholder and managing director of weyer data engineering gmbh is Philip Weyer, who studied computer science engineering and has several years of experience in software development.

Data protection

• Conformity with NDA/confidentiality declarations
• Only internal use of data, no disclosure to third parties
• No outflow of expertise, as external training of AIs is excluded

Future-proof technology

• Connection of various Large Language Models (LLM) via standard interface
• No binding to LLM manufacturer
• Precise use of multiple models with task specialisation
• Benefit from the rapid further development of different AI models

Usability

• Use of in-house expertise in data rooms (standard formats and websites)
• Provision of large amounts of data in a hierarchical structure
• Simple upload (drag and drop)
• Simple data maintenance
• Easy access to current chats and conversations via dynamic histories
• Permanent provision of conversation histories

Quality

• Only validated and deliberately provided data as a basis
• No dubious external or internet knowledge, thus minimising hallucinations
• Direct access to source texts to check the answer
• Conversational linking of knowledge areas through selection of data spaces
• Internet knowledge can/must be queried in ‘casual chat’
• Conversational use of suitable AI models

Access management

• Simple management of access rights (viewer/owner) for user groups
• Prerequisite for the cross-user and cross-company provision of structured expertise

Low follow-up costs

• Only one licence for the use of many task-specific AI models
• Low administration costs thanks to simple access management
• Low maintenance effort thanks to structured, cross-company provision of expertise
• Support with implementation and training as well as with the automation of use cases