Crafting your individual path in the Data Revolution.
Industrial AI structures industrial data – with a modular Pipeline Constructor for data analyses and AI models that enable value creation in business cases.
Our technology at a glance.
Our Pipeline Constructor enables us to build, collect, and flexibly combine code building blocks – openly connected to your existing systems, regardless of whether they involve time series (e.g., vibration and temperature curves), process or ECU data, image data, or quality and log data. We are convinced: The future of AI lies in industrial data – which is why we specialize in precisely this.
The result:
Structured data → Reusable pipelines → Measurable business cases
– exactly our claim.
And because every environment is different, we can also take over the complete development and implementation of your analyses and AI models if required – together with your team or as a turnkey solution.
This is how Industrial AI helps with your pain points.
Find usable
data
Our data readiness checks identify gaps, standardize formats, and show which sensor, process, or image data can be used immediately.
Use data
specifically
The Pipeline Constructor suggests suitable analysis and AI building blocks: drag and connect instead of months of scripting.
Realize actual business cases
Preconfigured starter kits deliver measurable KPIs, such as reduced waste or energy consumption, in less than 6 weeks.
Build scalable structures
Each released component is available for further use cases.
Collaboration & References.
Companies at every data readiness level rely on Industrial AI – a sign of our flexibility and cross-industry capability:
- Mechanical & Plant Engineering: data-driven development, condition monitoring in production
- Retail & Consumer Goods: quality assurance, supply chain optimization
- Automotive & Mobility: from product development to manufacturing and networked logistics
- Energy & Infrastructure Networks: load forecasts, asset health, operational optimization
Whether prototype or series production: Our component library adapts to any data landscape and generates measurable added value – from reduced production downtime to faster data insights.
Our practical knowledge from reference projects.
Our project philosophy.
Every Industrial AI project begins with a clear business question and ends with a ready-to-use pipeline that delivers real added value – without your data leaving your factory premises.
We work iteratively, rely on our modular component library and empower your team step by step to implement further use cases independently.
What defines us.
Fast. Modular. Transparent. Thanks to preconfigured building blocks, we deliver a working prototype integrated into your IT landscape in less than six weeks. Components from every project phase can be reused in future solutions. Full code and model access ensures that your expertise is available to you in a structured and transparent manner.
Our holistic view on project settings benefits from expert knowledge in diverse fields. A solid team with a combined AI experience of more than 15 years assures quick decision processes and high flexibility.
Our collaboration roadmap.
We take social responsibility.
If you are a welfare institution or a non-profit organization and want some help with your data projects, we offer pro bono services. Get in touch and we will have a look at our options.
Our vision.
Pipeline Constructor from Industrial AI – our core solution that combines analytics and AI building blocks into production-ready pipelines in minutes.
The Pipeline Constructor is currently being used in our own customer and research projects and will be available as software-as-a-service in the future so that you can use it independently for new use cases.
Features: Four elements for optimal usability.
- Building Block Catalog: Versioned code modules for ingestion, feature engineering, models & deployment.
- Component Recommender: Analyzes data & target KPIs and automatically recommends the optimal building blocks or pre-trained models.
- Pipeline Constructor Interface: Connects recommended building blocks to executable pipelines via drag-and-connect UI or API.
- Platform-independent Analysis Code: Is automatically combined and runs directly in your infrastructure without our access to your data.
Architecture: Our platform consists of three layers.
- Data Layer – Our algorithms analyze your existing machine, process, and image data directly in your systems. They automatically identify key data properties and select the appropriate input components – without any data extraction or additional connectors.
- Component Store Layer – Here, analysis and AI modules are versioned, provided with metadata and automatically recommended by the Component Recommender.
- Runtime – The automatically generated analysis code runs containerized or as a lightweight package in your existing environment – from edge computers to the cloud. You control startup, scheduling, and monitoring with the tools you already use.
All layers can be operated on-premise or in your private cloud – Industrial AI does not require access to your data or models.
Research.
Our technology is the result of close collaboration with leading research and industry partners – and we are continuing to drive it forward: In several research initiatives, we are working to continuously improve the modularization of data analysis and AI models and set new standards for scalable Industrial AI solutions.
Research lines 2025 – 2026.
- Modularization of data science applications for Redispatch 2.0 – Standardized building blocks for forecasting, optimization and XAI in power grid operations.
- Modularized feature engineering for low-context image recognition – Portable pipeline building blocks for optical quality inspection without reference data.
- Scalable attribute structures for functional components – Metadata scheme for versioning and compatibility checking of thousands of modules.