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We design, build and scale data-driven solutions, from first use case to enterprise-wide adoption
We uncover where data creates real business value
We define the right architecture, models and use cases
We develop and implement data and AI solutions in production
We roll out, improve and embed them across the organization
Across engineering, supply chain, and compliance, we transform fragmented data and processes into real-time, AI-driven operations.
Automate workflows with AI
Extract & generate documents
Embed AI into procurement, logistics, production, and sales processes
Track & trace equipment, materials, and assets in real time
Connect RFID, GPS, LoRaWAN, and 2D code data
Real-time location and status data in the context of SAP and Siemens master data
Convert CAD files, PDFs, and engineering drawings into structured digital models
Extract data from technical documents and drawings
Validate and enrich engineering data using AI-based checks
Automate regulatory and safety data processing
Manage product compliance across EU and global standards
Manage Digital Product Passports and chemical data requirements
Create and share Digital Product Passports
Enable supply chain data exchange across companies
Track circularity and sustainability metrics end-to-end
Teams cannot act fast due to fragmented operational data.
When decisions depend on manual analysis instead of real-time intelligence.
When regulatory and sustainability requirements are difficult to manage at scale.
Critical risks remain undetected or poorly monitored across the organization.
We combine data, machine learning and digital interfaces to build scalable, high-impact systems. These capabilities power solutions in operations, compliance and AI-driven decision systems across industries.
A scientific approach to structuring and analyzing data across complex enterprise systems.
Integrate multiple data sources (ERP, IoT, operational systems)
Enable reliable, structured data foundations
Support real-time insights and reporting
Human-centered interfaces connecting users with complex data and AI system
Design operational dashboards and applications
Translate data into actionable workflows
Enable intuitive interaction with complex systems
Machine learning systems that operate in real-world business environments.
Build predictive and classification models
Enable anomaly detection and forecasting
Support decision-making in operational processes
Real systems we have built for operational, data and AI-driven environments
