We tackle your challenges directly
personal, on-site, as a family-owned business.
Our Services
- We advise on the value-creation potential and challenges of artificial intelligence.
- We assess the feasibility of automation tasks with minimal investment.
- We develop artificial-intelligence applications for industrial contexts.
About us
Ferdinand List, M.A. is a trained architect and possesses a wide skillset ranging from project management to web development and user experience.
Dr. Jörg P. Schäfer has over 25 years of experience in software engineering and directed research teams in autonomous driving.
Since 2023 we pursue the goal to bring our research expertise to practical application as a family business.
Our expertise lies in the areas of artificial intelligence, machine learning, machine vision, visual quality inspection and more.
Contact
We would be happy to learn about your challenges and demands in the course of a short call or online meeting.
Your contact person: Ferdinand List, CEO
+49 178 1337 860
info@schaeferlist.de
FAQ
Is a consultation beneficial for my company?+
Consulting on the value-creation potential of artificial intelligence can be worthwhile for your company, especially when:
- You want to boost competitiveness through digitalisation and automation
- You have to handle large-scale repetitive tasks (e.g., quality assurance)
- You face processes with heterogeneous parameters (e.g., uneven materials, temperature variations)
- You struggle to find qualified staff
What is the structure of a typical initial meeting?+
An initial AI-consulting meeting usually takes place online and lasts 30 to 60 minutes. It serves as a mutual introduction and a first needs assessment. After brief introductions from both sides, your current challenges are discussed. The goal is to pinpoint concrete value‑creation opportunities:
- Where do bottlenecks or capacity gaps occur?
- Which tasks are especially time-consuming?
- Where do errors happen most frequently?
- Then you receive an overview of possible AI use cases that could fit your situation. At this stage realistic expectations are set, and rough timelines and budget ideas can be discussed.
What can the next steps be after an initial meeting?+
Our experience shows that a deep understanding of the technical problem is essential for a value-creating solution. Therefore, our work typically starts with an on-site visit to grasp the materials and manufacturing methods you use and to gather the necessary foundations and precise objectives.
After that we identify potential risks and challenges in implementing an AI solution. Depending on the findings of the fact-finding phase, the next logical step may be a feasibility study with minimal investment, or a roadmap for gradually achieving initial value creation and outlining future expansion opportunities.
What requirements does my company need to fulfill in order to gain value through artificial intelligence?+
We start our work exactly where you are at right now and support you in developing the following building blocks to achieve value creation with artificial intelligence:
- Data: AI models are trained on large data sets that have been generated under standardized conditions.
- Computing hardware: AI applications are computationally intensive, and the hardware must meet your data-protection requirements as well as your IT infrastructure.
- Qualification & standards: An AI model is only as good as the underlying expert knowledge (e.g., process descriptions, error catalogs).