AI that actually makes it into your processes and products
AI solutions that run inside your online store, your portal, or your internal tools and take work off your team.
A search that understands typos and paraphrases. Products that sort themselves into the right category. Recommendations that match what is in the cart. We build AI into the systems you already have, starting with the use case that saves the most manual work.
AI belongs in the platform your team uses every day
Many AI projects fail even though the technology works. They are built on the side, as a demo that nobody adopts into their daily work. That is why we build AI solutions directly into your existing platform: into the online store, the portal, or the internal tools your employees already use.
Typical use cases are automatic product classification, a search that understands meaning, order forecasting, and a chat that answers customer questions from your own data. We work out with you which use case pays off, and then we build it. We know large catalogs well: the LANXESS catalog system holds more than 5 million items.
Three areas where AI takes work off your plate
Intelligent search and recommendations
Your customers type what they need, and the search understands paraphrases and typos. On top of that come recommendations based on what they have bought before. Both run directly in your online store or portal.
Automated processes
Classifying products, maintaining master data, reading documents: these tasks come up every day. AI handles them in seconds and passes unclear cases to a person. Your team only reviews the exceptions.
Forecasts and better decisions
Planning sales, managing inventory, spotting customers who are about to leave: the data for this usually already sits in your systems. A model turns it into forecasts, and you decide based on numbers instead of gut feeling.
How we bring AI into your company
- Use case
- Proof of concept2 to 4 weeks
- Built into your platform
- Expanded step by step
- Operations and metrics
From use case to a feature people use every day
- Together we find the use case that saves the most manual work
- Proof of concept in 2 to 4 weeks with your own data
- Built into your existing platform, not a separate AI system on the side
- Expanded step by step, each step with its own budget
Operations and metrics
- We help run the AI features and monitor response times and costs
- Metrics agreed before launch, such as hit rate or hours saved
- Open standards: the model can be swapped, and your data stays with you
- GDPR compliant, with hosting in the EU or in Germany (Hetzner) available
The AI technology we use
For the technically curious: we work with widely used AI technology that runs in many production projects. Which model and framework we choose depends on your use case, your data, and your hosting requirements.
AI and ML frameworks
- TensorFlow and Keras
- PyTorch
- Scikit-learn
Language models and conversational AI
- OpenAI / GPT integration
- Anthropic Claude API
- Open-source LLMs (Llama and others)
Cloud AI and hosting
- AWS AI services
- Azure OpenAI Service
- EU hosting (GDPR compliant)
Which task should AI take over for you?
The intro call takes 30 minutes and is free. You describe your workflows, and we tell you where AI pays off and where it doesn't. We work in English and German.
Jens Bohl Founder and Managing Director