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

  • Automotive
  • Data Engineering

Introduction of a standardized framework for data integration at an automotive manufacturer

We developed a standardized framework for an automotive manufacturer to integrate data sources into a data lakehouse more efficiently and reliably.

More
Introduction of a standardized framework for data integration at an automotive manufacturer
Case study
  • Automotive
  • Data Engineering
  • Frontend Solution
  • Pricing Analytics

Optimizing the supply chain pricing strategy for an automotive supplier

We optimized the supply chain pricing strategy for an automotive supplier to achieve greater transparency in cost structures, optimized margins and greater efficiency throughout the supply chain.

More
Optimizing the supply chain pricing strategy for an automotive supplier
Case study
  • Energy
  • Data Engineering
  • Frontend Solution

Implementation of a data analysis platform for the renewable energy sector

We implemented a data analysis platform for the renewable energy sector that allows our customer to process and analyze data faster and more efficiently, improving decision-making companywide.

More
Implementation of a data analysis platform for the renewable energy sector
Case study
  • Automotive
  • Data Engineering
  • Recommendation Systems

Increasing in-car service sales through a personalized recommendation system

We developed a personalized recommendation system for a car manufacturer that increases in-car service sales and improves customer satisfaction.

More
Increasing in-car service sales through a personalized recommendation system
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

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