Tailored Integration with an AI Agency
We understand that every company is unique and has individual requirements for its software. At the same time, the programmers at our AI agency are familiar with numerous use cases that enable applications your employees, despite all their creativity, haven't even dared to dream of: Let us redefine your AI strategy!
This is exactly what drives us, and therefore we develop solutions and processes that integrate perfectly into your existing IT infrastructure. Our software architectures are designed from the ground up to communicate seamlessly with existing systems and databases or other AI tools. At the same time, we focus on flexible interfaces, which allow for future expansion of the new systems – these scalable software architectures grow with your company.
Prompt Engineering – Precision in AI Control
Prompt engineering is a crucial discipline in practical AI application. It involves the methodical development and optimization of instructions (prompts) used to behavior of AI models precisely controlled.
Through professional prompt engineering, the performance and efficiency of AI tools can be significantly increased. The careful structuring of instructions leads to consistent and higher-quality results, while simultaneously optimizing resource consumption.
In combination with RAG or fine-tuning, prompt engineering unfolds its full potential and becomes a powerful tool for cost-effective, high-quality AI solutions – an essential component in our approach to successful AI implementations and the successful automation of processes in your company.
GDPR-Compliant AI Solutions for the European Market
Data protection presents a particular challenge in the implementation of AI solutions, especially in the European area with the strict General Data Protection Regulation (GDPR). As a specialized AI agency, we at InnoGE have developed approaches to master this challenge.
While most leading AI models originate from US companies, in AI development we rely on architectures that enable GDPR-compliant use of these technologies. This includes local processing pipelines for sensitive data, effective anonymization techniques, and hybrid solutions that transmit only non-critical information to AI services.