Our 4-Phase Approach
Successful AI adoption requires a structured approach. We don't just implement technology; we solve concrete business problems.
1. Discovery & Strategy
We analyze your current processes and identify where AI can make the greatest impact. No hype, just a realistic business case.
2. Proof of Concept (PoC)
We build a targeted, small-scale solution to test feasibility. In doing so, we compare various models (such as DeepSeek for specific tasks or Claude for complex reasoning) on accuracy and speed.
3. Integration & Development
After a successful PoC, we integrate the solution into your existing systems. We use proven frameworks and architectures such as RAG (Retrieval-Augmented Generation) with vector search for reliable answers based on your own documentation.
4. Management & Scaling
Your application runs in production. We provide management, monitoring, and, if desired, access to powerful local AI computing power (HPC) to ensure continuity and data privacy.
Common Use Cases by Sector
Our integrations are tailored to the specific dynamics of your industry.
Customer Service & Support
Intelligent systems that analyze technical manuals and past tickets to assist support agents in real-time with accurate, contextualized answers (driven by vector search).
Legal & Financial
Automated analysis of large volumes of contracts or policy conditions. AI models extract specific clauses and flag deviations, significantly shortening case processing times.*
* Please note: the time savings achieved are an estimate and depend on data quality and document structure.
E-commerce & Retail
Dynamic generation of optimized product descriptions and personalized recommendation engines, built on a scalable web architecture.
Frequently Asked Questions (FAQ)
We are model-agnostic. Depending on your use case, we deploy the most suitable technology, ranging from powerful open-source models via specific frameworks to leading commercial solutions.
Yes. Security and data privacy are our starting point. We build architectures where your company data remains strictly separated from public training data, often via enterprise APIs with a zero-retention policy or via dedicated infrastructure.
A typical Proof of Concept takes 2 to 4 weeks. A full production integration usually takes 2 to 3 months, depending on the required integrations with your existing software.