From the idea to the implementation of your deployable AI

Our approach from planning to the final result has proven itself over the years and has been optimized to be results-oriented and customer-centric. This allows us to tackle the implementation of your project with our experienced team in an efficient and resource-saving manner. We proceed transparently and step by step to minimize risks. The first usable results are available after approx. 3-4 months.

It all starts with an idea of how the process can be improved.

We pick you up where you currently are: We are aware that everyone’s idea of an AI solution is different. AI can evoke defensive attitudes and fears. We come from practical experience: we support you in defining clear goals and steps and in dealing with change management challenges. Trust our expertise in the industrial environment and our network in the world of AI.

Data is our business

Our AI pipelines are designed to achieve outstanding results even with quantitatively and/or qualitatively challenging data. We develop your exclusive solution from your data: through deep knowledge implementations(e.g. integration of physics/chemistry models or even company-owned, established theories from R&D or production) in the AI pipeline, we make optimal use of the knowledge contained in your data for you. And should the data basis not be sufficient for certain areas of the question (so-called for our approach): We work with you to develop efficient solutions using, for example, adaptive AI DoE planning or simulated data to quickly generate the necessary data basis.

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AI per se is not innovative – together with you, we are

In an initial meeting, ideas are exchanged and you get to know us and our product better – and we get to know you and your challenges. The second meeting is already more concrete: What issues are there? Where do you want to find solutions? Is there a big goal (the “big picture”)? How can you take the first step towards achieving this goal by creating added value (the “minimum value project”)? And of course: What data is available, can the goals be achieved? And of course: Do you already have experience with AI? This results in a project that maps the individualization of our software for you. This takes a few months, but is a constant exchange between you and us. This enables us to achieve a stable and sustainable solution efficiently and without wasting resources.

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Dr. Mathias Huck Head of Sales +49 170 3281 473

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This is how we proceed – your individual AI from the idea to implementation

Get to know
1
Getting to know each other, whether the approach and the idea of AI projects fit together.

Activities
- We get to know each other
- You report on your problem
- We describe our process model
Results
- Do you have a problem that can be solved with our approach?
Your data
In this step, we look at your data and decide whether an AI project makes sense. We check whether your current data fundamentally solves the problem described.

Activities
- We will check whether we can help you
  
  Have we understood your problem?
  
  Do we have a basic competence in the area?
  
  Can we help you solve your problem?
- We sign an NDA
- We receive the following data from you
- We carry out initial analyses
  
  Consistency of the data
  
  Distribution of data
  
  First pattern recognition
Results
- Is your data suitable for creating an AI solution?
2
Your data
Proof of concept
3
The aim of this step is to realize an initial “small” AI project with a precisely defined scope of services within a certain period of time.

Activities
- Definition of a specific problem to be solved with our framework
- In-depth analyses of your data
- Creation of the solution in 2-3 iterations
  
  Iteration 1: Building the ML pipeline with the existing data/knowledge
  
  Iteration 2: Optimization of the data and thus the model quality
  
  Iteration 3: Final fine-tuning and validation of target achievement
- For each meeting/workshop, you will receive a presentation in advance for an efficient discussion
Results
- Transparent project progress through continuous documentation
- Executable prototype with which you can validate your business case
- Extraction of in-depth knowledge from your data
Implementation project
In the AI project, we realize the problem with our framework.

Activities
- Definition of the project scope based on the information from ai.Prototyping
- Clarification of the IT architecture
- Creation of a project plan including milestones/gates
- Implementation of the following points in our framework
  
  Continuous import of data
  
  Validation of the imported data
  
  Customer-specific visualizations
  
  Model creation
  
  Continuous validation of the prediction quality
- Integration into your process chain
Results
- Your customized ML pipeline for mapping your processes and integrated into your IT
- Continuous documentation of meetings / workshops
4
Implementation project

1. the project phase

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2. the license phase

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From the idea to the implementation of your deployable AI

It all starts with an idea of how the process can be improved.

Data is our business

AI per se is not innovative – together with you, we are

Arrange a consultation now

This is how we proceed – your individual AI from the idea to implementation

Get to know

Activities

Results

Your data

Activities

Results

Your data

Proof of concept

Activities

Results

Implementation project

Activities

Results

Implementation project

1. the project phase

2. the license phase