We assist you in leveraging data as a key resource for the future of your business model. From developing decentralized data architectures to the practical application of machine learning models and generative AI, we make your data not only accessible, but also profitable and responsibly usable.
Get in touch with usHow can data and AI applications be effectively integrated into your business processes? We've compiled a selection of use cases that highlight the potential of data and AI across various industries and scenarios – from data-driven decision-making in agriculture to regulatory compliance in financial services, and efficient data exchange between departments.
A platform that applies AI to satellite images to monitor field variability, predict yields, and plan field operations.
Learn moreThe traditional approach to diagnosing heart disease involves a visit to a clinic or hospital for an electrocardiogram (ECG), which can be time consuming, costly and inconvenient for continuous monitoring. A portable and easy-to-use personal ECG device with AI technology can be a worthwhile alternative.
Learn moreAgriculture can benefit greatly from Machine Learning by using data to make decisions about planting, maintenance, and harvesting, to optimize yields and reduce waste.
Predictive maintenance in manufacturing uses Machine Learning to predict when a machine is likely to fail, enabling just-in-time maintenance to prevent downtime without unnecessary inspections.
In financial services, Data Mesh helps streamline regulatory compliance. Each data product can have its own customized policies and controls, simplifying compliance with strict standards. This localized approach improves the auditability and transparency of compliance efforts.
In multi-divisional global enterprises, Data Mesh enables individual business units to take ownership of their data as a product, improving data quality and accessibility. A global interoperability layer ensures seamless collaboration and insight across the enterprise.
Decentralizing data management puts domain-specific teams in charge, enabling rapid personalization and operational efficiency to meet customer demands.
Equipment failure in manufacturing can lead to costly downtime and maintenance. A Data and Machine Learning Platform offers the infrastructure to implement predictive maintenance by leveraging data analytics and machine learning.
In interdepartmental data sharing, Data Contracts provide a shared data framework that facilitates effective communication and builds trust between departments. The result is a streamlined integration that enhances data quality throughout the organization, yielding long-term benefits.
In the context of exchanging data with third parties, Data Contracts play a critical role in ensuring security and compliance. They establish protocols for data management that promote responsible practices and alignment with legal and quality standards. This, in turn, diminishes risk for organizations and their external associates.
In the business context of machine learning, Data Contracts are vital protectors of model performance. They establish concise criteria for data quality, volume, timing, and structure. Their purpose is to guarantee that machine learning models always obtain the appropriate data for superior performance, despite changing data environments.
We provide you with strategic consulting for integrating a sustainable data and AI strategy into your existing business processes, as well as support in developing AI-driven software products.
We design and develop products that leverage artificial intelligence (AI) technologies to automate and improve various aspects of business operations, technology, and consumer services.
Our software and data engineers design, develop, and deploy machine learning models into production systems.
Introducing Data Mesh requires organizational, technical, and cultural change. We offer consulting, assistance and tools to enable your leaders and engineers to take ownership and build trustworthy data products.
We help you to develop, construct, and refine the foundational infrastructure that supports and drives data and AI solutions.
Our data and AI experts love to share their technical knowledge and practical experience with you.
Generative AI, along with classical machine learning, is increasingly becoming a backbone of data processing and analysis. The fact that this is no longer a hypothesis but a reality is backed by our facts&figures.
Consultants using AI finished 12.2% more tasks on average, completed tasks 25.1% more quickly, produced 40% higher quality results.
By the end of 2025, 55% of manufacturing companies and 71% of information industry companies in Germany are expected to use generative AI for commercial purposes.
AI can enhance efficiency and profitability in the manufacturing sector. It's forecasted to increase the share of profit by 39%.
For more than 20 years, our employees have been consulting SMEs and corporations and successfully realizing all kinds of IT systems. Our expertise is backed by many years of practical experience – in software architecture and development, digital platforms and infrastructures, and digital product development. For us, technology has no self-purpose, but is the basis of solving real problems.
We’d love to assist you in your digitalization efforts from start to finish. Please do not hesitate to contact us.
In our projects we don’t just want to build things or use artificial intelligence for its own sake. We want to create value. Find out more in our success stories.
We offer both public and inhouse training sessions on various data and AI topics. With trainers who haven't only read the textbooks but written them as well. For people who not only want to improve their knowledge but also their prospects.
Our training sessions can be booked through our partner, socreatory, the Software Creators' Academy.
From Data Mesh to MLOps – our primers make quick work of Data and AI topics.
