Industry Solutions
IoT & Connected Systems
Data strategies and compliance for the Internet of Things
Making IoT data usable: we connect sensors, machines, and systems into usable data flows – from integration to analysis.
Typical Challenges
Unstructured sensor data without clear attribution and cataloging
Lack of overview of data sources and data flows
Scaling challenges with growing device counts
EU AI Act compliance for AI models on IoT data
Test data needs for new IoT applications and edge cases
Our Services for This Industry
Selected services tailored to the specific requirements of this industry.
01
Smart Data Catalog
Find rather than search.
Self-service catalog with automatic metadata capture, data lineage and role-based access – the central hub for all data teams.
With hundreds of sensors and data sources, you quickly lose track. A Smart Data Catalog makes your entire IoT data landscape searchable and documented – who delivers what data, in which format, how often and for what purpose.
02
Strategic Planning
From idea to actionable strategy – in just a few days.
Strategic planning for data and digitalization: we turn goals into a realistic roadmap with priorities, quick wins, and clear responsibilities.
Collecting IoT data is easy – using it strategically is not. Strategic data planning defines which sensor data is relevant for which business goals, how data flows can be optimized and where investments in data infrastructure have the greatest impact.
03
Process Automation
Less manual. More impact.
End-to-end automation of business processes – from data flows through workflows to monitoring. Integration with existing systems, no rip-and-replace.
Data flows from sensors to dashboards, alerting systems or analytics platforms often run through manual scripts or faulty pipelines. Automation ensures reliable, scalable real-time data processing.
04
Data Hygiene Audit
Clean data, clear decisions.
We scan data lakes and databases for duplicates, inconsistencies and privacy risks, prioritise fixes and deliver clear cleaning playbooks.
Sensor data can be noisy, contain gaps in time series or be corrupted by faulty devices. A Data Hygiene Audit checks your IoT data quality and ensures your analytics and AI models are built on clean data.
05
EU AI
Act Readiness
Compliance over risk - your AI systems compliant and secure.
The EU AI Act requires compliance and documentation starting August 2026. We support you with readiness scans, compliance documentation and ongoing monitoring - flexible as a project or monthly retainer.
AI models on IoT data – e.g. for predictive maintenance or anomaly detection – fall under different risk classes of the EU AI Act depending on their use case. We assess your systems, document them in compliance and prepare you for potential audits.
06
Synthetic Test Data
Realistic data for testing, training and development – without privacy risk.
Synthetic test data instead of real customer data: test and develop in line with the GDPR, without personal references – realistic, repeatable, secure.
New IoT applications or edge-case scenarios need test data that mirrors real sensor patterns – including outliers, failures and seasonal variations. Synthetic test data generates exactly this diversity without requiring access to real operational data.
07
Prototype in One Week
From idea to working prototype – in just five business days.
Prototype in one week: we turn your idea into a clickable, testable prototype – a fast basis for decisions before larger investments.
Want to test whether an IoT dashboard, anomaly detection or automated reporting solution works for your company? In one week we deliver a working prototype based on your real data sources.
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Whether you have a specific project or just want to explore options — we look forward to hearing from you.