AI Infrastructure & Engineering

AI Infrastructure

A robust and scalable data and AI infrastructure is the foundation of any data science, machine learning, or AI solution. At statworx, we design and implement modern infrastructures for your company.

Your Experts for Data and AI Infrastructure Consulting

We create robust data and AI infrastructures for businesses

Artificial Intelligence (AI) is a rapidly evolving technology, with the intervals between major advancements becoming increasingly shorter. Therefore, it is now crucial for companies to establish a solid data and AI infrastructure, as it is the backbone of every successful AI initiative. A well-designed data and AI infra­structure ensures smooth data flow, enables the management of vast amounts of data, guarantees their quality, and thus forms the foundation for the scalable and efficient use of AI technologies.

At statworx, we specialize in assisting organizations with the design and imple­men­tation of efficient data ecosystems. Our expertise lies in the design and development of robust, scalable, efficient, and secure data and AI infrastructures that are perfectly tailored to the specific requirements of our clients. We place particular emphasis on solutions that enable seamless data integration, management, and analysis.

With statworx by their side, companies can overcome the technical challenges of infrastructure development and accelerate their AI journey. Thanks to our many years of experience, we know exactly what it takes to create a solid foundation for AI applications and use cases.

Optimized AI Infrastructure:

  • Building a scalable and efficient data and AI infrastructure
  • Ensuring smooth data flow and seamless data integration
  • Guaranteeing data quality and management in real-time
  • Support in processing large data volumes

Our AI infrastructure solutions provide you with the foundation for the success of your AI initiatives. Through careful planning and implementation of robust data ecosystems, we create a secure and scalable foundation that supports your AI projects in the long term.

Our Data and AI Infrastructure expertise

Data Engineering

Our experienced data engineers support you in building robust ETL and ELT data pipelines with Databricks, Snowflake, or cloud-native technologies.

Data Architecture

Data Lakes, Data Lakehouses, Data Marts, Data Mesh, or Data Fabric - we assist you in developing and imple­menting the data architecture that meets your requirements.

Data Lakehouse & Data Lakes

We implement Data Lakes and Lake­houses to optimally store large data volumes and thus provide a solid found­ation for your analytics and AI solutions.

Data & AI Platforms

We support you in selecting, designing, and implementing the right data and AI platforms for your needs, whether on-premise, hybrid, or cloud-native.

Big Data Processing

We help you manage and analyze large data volumes and gain actionable insights with technologies like Apache Hadoop and Apache Spark.

Analytics & Visualizations

We create innovative analytics solutions that allow you to monitor key processes and KPIs, identify trends, and gain valuable insights.

IoT Data Collection

We support you in capturing, managing, and analyzing data from IoT devices and sensors. Our services enable secure real-time data processing.

Production Line Data Collection

We assist you in optimizing manufacturing by capturing and analyzing data from your production lines to improve efficiency and reduce downtime.

Request a project now with no obligation
Non-binding initial consultation
Free situation and requirements analysis
Response within 24 hours

Our strength

statworx is one of the leading consulting and development companies for data & AI in the German-speaking region.

We focus intensively on the interfaces between people, economy, society, environment, and AI technology.

Sebastian Heinz
Founder and CEO statworx

Our spotlight topics at a glance:

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Tools, Partner & Technology
DataRobot
Palantir
nvidia
ml flow
AI Hub
Airflow
Shiny
Kubernetes
Docker
Spark
Dataiku
Google Cloud Platform
R
SAP
Databricks
Tensorflow
Python
Azure
aws
PyTorch
DataRobot
Palantir
nvidia
ml flow
AI Hub
Airflow
Shiny
Kubernetes
Docker
Spark
Dataiku
Google Cloud Platform
R
SAP
Databricks
Tensorflow
Python
Azure
aws
PyTorch
10+

years of experience in Data Science, ML, and AI

100+

clients from 10 industries and growing

85+

experts from more than 17 fields of study

1,000+

successfully implemented Data and AI projects

Implemented projects

  • Health & Pharma
  • Strategy

AI Use Case Workshop

In this project, we collaborated with our client, an international pharmaceutical and healthcare corporation, to plan and implement a series of AI use case workshops.

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AI Use Case Workshop
Case study
  • Insurance
  • Strategy

Data Science Strategy Concept

In this project, we collaborated with our client to develop a strategy concept for implementing a data science initiative.

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Data Science Strategy Concept
Case study
  • Automotive
  • Strategy

Operating Model

In this project, we worked closely with our client to develop an operating model for a newly established analytics department. This operating model defines collaboration processes to efficiently implement the strategic vision.

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Operating Model
Case study
  • Finance
  • Strategy

Data Science Platform Strategy

In this project, we developed and evaluated different scenarios for a data science platform in the banking environment.

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Data Science Platform Strategy
Case study
  • Health & Pharma
  • Strategy

OpsModel Scaling Concept

To enable our client to efficiently scale their growing data science initiative, we developed an operational model perfectly tailored to their needs.

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OpsModel Scaling Concept
Case study
  • Other
  • Strategy

Development of a Data Strategy

We helped our client develop a clear and actionable data strategy, with which all business processes can be optimized through effective data usage and AI integration.

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Development of a Data Strategy
Case study
  • Finance
  • Strategy

AI Strategy for a Private Equity firm

We developed a strategy for the application of AI in the portfolio companies of an investment house, which allows the business models to be specifically evaluated in terms of their AI potentials, opportunities, and risks.

More
AI Strategy for a Private Equity firm
Case study
  • Other
  • Strategy

AI Strategy: How companies identify their top AI Use Cases

By developing an AI roadmap, we helped our client to identify value-adding and realisable use cases for their future AI ambitions.

More
AI Strategy: How companies identify their top AI Use Cases
Case study
  • Other
  • Strategy

Strategically develop and execute AI use cases

By developing a standardized AI Use Case Management Framework, we helped our client achieve tangible project results and prepare for long-term success in AI implementation.

More
Strategically develop and execute AI use cases
Case study
  • Finance
  • Strategy

AI Strategy for a Bank

By developing an AI strategy, we helped our client, a State Bank, to set the framework and create the conditions for scaling AI.

More
AI Strategy for a Bank
Case study
  • Health & Pharma
  • Strategy

Data Strategy for a leading German hospital

Our client, one of the leading German clinics, wanted to optimize its existing data landscape, which was characterized by a fragmented system landscape, low digital maturity, and lack of user orientation. We developed and implemented a comprehensive data strategy and a data roadmap to sustainably improve data-related processes and technological foundations.

More
Data Strategy for a leading German hospital
Case study

Why statworx?

statworx is your reliable partner for customized Data and AI solutions precisely tailored to your requirements.

With over 10 years of experience in developing and operating more than 500 Data Science and AI projects, we possess unique know-how and technological excellence across all industries and sectors.

01
Cutting-edge expertise

As a technology-independent service provider, we can unconditionally address your requirements and imple­ment the latest AI innovations. Whether it's cloud, on-premises, or on a specific data platform, we maximize your possibilities.

02
10+ years of Data Science and AI excellence

We have unique know-how from developing and operating more than 500 data science and AI solutions. Our long-standing customers include well-known companies such as Mercedes-Benz, Merck and MediaMarktSaturn.

03
100% for your success

We focus on your goal, achieve results quickly, work agilely and on equal footing. Mutual trust is a central element of our cooperation. Working together with you is our focus and has the highest priority for project success.

04
Focus on sustainable value

Our focus is on delivering sustainable value through each of our AI software solutions. To achieve this, in addition to technical development, we also support you with strategic issues and the implementation of con­tinuing education initiatives in the area of data and AI.

Interested in a consultation on Data and AI Infrastructure?

01
Free consultation

Discuss your challenges and goals in the area of Data & AI with us.

02
Tailored offer

Receive a customized and transparent offer.

03
Presentation & contract award

We present our approach to all relevant stakeholders.

04
Onboarding with project team

Our dedicated project team takes care of your needs.

Create value from Data & AI
Non-binding initial consultation
Free situation and requirements analysis
Response within 24 hours
Daniel Lüttgau
Daniel Lüttgau
Head of AI Development
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Frequently asked questions and answers

Why is a solid AI Infrastructure crucial?

A well-thought-out and scalable AI infrastructure forms the foundation for the success of your AI initiatives. It ensures smooth data flow, manages large data volumes, and guarantees data quality. This ensures that your AI applications operate efficiently and reliably while being prepared for future requirements and expansions.

Which technologies are used in the development?

We work with leading technologies like Databricks, Snowflake, Apache Hadoop, and Apache Spark to implement robust ETL/ELT pipelines, Data Lakes, and Data Lakehouses. These solutions offer the scalability and flexibility to store, process, and utilize large data volumes for your analytics and AI applications, whether they are operated in the cloud, hybrid, or on-premise.

How does statworx support companies in optimizing their data and AI Infrastructure?

Our experts provide comprehensive support in the design and implementation of tailored data architectures like Data Mesh, Data Fabric, and Data Lakehouses. We help you select the right data and AI platform, efficiently process large data volumes, and enable real-time analytics. With our many years of experience, you can overcome the challenges of infrastructure development and implement your AI projects faster and more efficiently.

Daniel Lüttgau
More questions?
Daniel Lüttgau
Head of AI Development

Related Services

AI Consulting

Our consulting services focus on both technical and methodological skills, data literacy, and data culture, utilizing interactive and inspiring learning methods. We provide training for beginners, specialists, and executives.

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AI Starter Offerings

Are you just beginning your data and AI journey? We offer various workshops, training sessions, and ready-to-use AI solutions that are perfect for taking the first steps with data science and AI.

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AI Solutions

We develop data science and AI solutions tailored to your require­ments. We support you from the initial idea to the productive solution and ensure smooth operation thereafter.

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AI Trainings

Whether technical or methodological skills, data literacy, or data culture - our formats rely on interactive and inspiring learning methods. We train beginners, specialists, and executives.

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