Digital transformation starts now

Our AI & Data Science Services

[at] is your specialist for the use of your company data and the successful implementation of AI. State of the art technologies and the highest level of methodological competence form the foundation of our services. Our goal is to generate real added value from data together with our customers, to provide them with optimal support in the face of challenges and to jointly exploit opportunities.

Customers who trust us

4 Pillars for your Digital Transformation

Whether it's efficient utilisation, undiscovered revenue streams or new sustainable business models, data and AI open up new opportunities for all of us. To harness this enormous potential and enable innovation, we divide our services into four areas.

DataStrategy

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Developing your data strategy

Together we develop a company-wide data strategy as the basis for your digital transformation.

DataLab

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Optimisation of AI and analytics applications

We analyse your data and develop prototypes with the right technologies for you.

DataFactory

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Implementation of data products

We implement reliable applications and infrastructures: from data import via data lake and data warehouse to user-optimised data visualisation.

DataOps

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Worry-free regular operation

We operate and maintain your data & AI applications and support you in the further development of your products.

Our working method

The [at] Data Journey

Today, much of the business value is based on the analysis of data. The crucial question is how do we generate value from data to turn problems into concrete solutions?

With the Data Journey, we have developed a holistic system for Data & AI projects, by means of which we take a holistic view of our customers' initial situation and problems in order to be able to offer them the best possible solutions: from the comprehensive development of a data strategy, through the proof of concept and prototypes to the finished product, continuous maintenance and optimisation.

Customer projects

Get an impression of our customer projects in various industries in the individual areas of our AI & Data Science Services.

DataStrategy

DataLab

DataFactory

Tyre classification from acoustic data

DataOps

Our core competences

With our data science services, we cover a wide range of areas and are available to you with experienced teams of experts. Contact us if you have any questions. We will be happy to help you!

The transformation to a data-driven organisation needs a defined route. Through agile assessment workshops, we create a collective understanding, gather all relevant information, define objectives and develop a company-wide data strategy together.

For this purpose, processes and roles of your data-driven value chain are explored and defined. We also model your data lakehouse of the future and find ways to establish a data-driven culture and build up data and AI knowledge in the company.

More and more companies are using the offerings of the large cloud platform providers. However, depending on the use case, the requirements here for customer needs and legal framework conditions are often very different.

We support you in the areas of cloud platform providers, use case specific data architecture and powerful open source solutions to find the optimal solution for you.

Whether in your core business or in new lines of business, a sustainable and overarching benefit from your corporate data depends on stringent data organisation and maintenance ensured by data governance.

The aim is to create the basis for Data & AI solutions by implementing defined standards in the areas of data quality, roles and processes in handling data, data architectures, data transparency and security as well as compliance.

Together with you, we develop and implement sensible procedures and standards according to your individual requirements.

Our MLOps experts deal with setting up the processes, people and technological tools needed to carry out machine learning from start to finish.

We support iterative model development (ML), production and scaling (Dev) and the ultimate live operation of machine learning products (Ops).

Predictive maintenance is currently the most advanced type of maintenance available. With time-based maintenance, there is a risk that companies perform too much or too little maintenance. With reactive maintenance, maintenance is performed when needed, but at the cost of unplanned downtime. Predictive maintenance solves these problems.

Our experts can help you implement PdM in your company to optimise maintenance cycles.

Recommender systems are software that makes meaningful suggestions to users and thus supports them in their decision-making.

Popular examples of use include "What items should I buy?", "What movie should I watch?", "What news should I read?" or "What songs should I listen to?".

Forecasting is the term used to describe the prediction of certain events based on data. Forecasting use cases serve to predict the future where the actual outcome is still unknown and can only be estimated based on past events. The aim is to improve the quality of the forecast and thus to be able to make better predictions.

Our forecasting experts support you in using forecasting to make the best possible predictions for your use cases.

In the field of NLP (Natural Language Processing) we deal with the interaction between computers and human language. The goal of NLP is to automate the understanding, interpretation and output of human language by computer systems.

NLP is the industry's answer to the realisation that large amounts of text data often go unused, even though they are valuable for achieving business goals.

With our knowledge and experience in NLP projects we support you in the implementation in your company.

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European AI Act

Technological and legal advice

What our customers say

"For the kick-off in the area of Analytics & Information Management at HDI AG, we wanted Alexander Thamm to be the keynote speaker. The organisation could not have been more straightforward and the choice of speaker could not have been better: a real firework display on the state of data (science), analytics and digital use cases!"

- Daniel Magritz & Paul Dittmer - HDI AG -

"The project with Alexander Thamm GmbH was a complete success. I was particularly impressed by the deep understanding of processes and the great expertise of the Data Scientists."

Jürgen Häglsperger | Project Manager | BMW

"The cooperation with Alexander Thamm GmbH was very constructive. The results have brought us a big step forward in the digitalisation of our business."

Markus Lipinsky | Chief Digital Officer | MAN

"Alexander Thamm helps us to better understand the cooking behaviour of our customers and thus to sustainably improve the Thermomix. This ranges from simple descriptive analyses and frequencies to machine learning to recommend relevant recipes to our customers, for example."

Vorwerk

"The cooperation with Alexander Thamm GmbH was convincing with its very efficient and professional approach and was rated super positively by the 50 participants."

Stefan Jacobi | Senior Project Manager | Porsche

"The use case workshop together with Alexander Thamm GmbH helped us a lot to tackle the topic of data-based engine model using a concrete use case."

Project Manager | MAN

You think we're a catch?

Then contact us!

Simon Decker

Simon Decker

Data & AI Projects