Services
Not services. Capabilities your team owns.
We don't build for you and disappear. We work alongside your team until it understands, operates and extends the architecture — without us.
01
Web-based HMI & Dashboards
Scalable web interfaces that replace legacy SCADA systems.
Proprietary SCADA systems are expensive, hard to extend and lock you into a vendor. We train your team in React.js and modern frontend architectures so you can build maintainable, browser-based HMIs yourselves — running on any device.
After this your team can: develop, deploy and extend React-based HMIs independently.
02
Mobile Engineering
Real-time PLC data on iOS and Android — from a single codebase.
With React Native you build iOS and Android apps from a single codebase. We show your team how to bring OT data to mobile devices via secure APIs — for maintenance technicians, shift managers and management.
After this your team can: build cross-platform apps for industrial use cases independently.
03
Industrial Connectivity
MQTT, OPC-UA and Unified Namespace — resilient and in milliseconds.
The data flow from machine to cloud is the foundation of every industrial IT solution. We establish resilient messaging architectures with MQTT brokers and OPC-UA servers and enable your team to operate and scale them independently.
After this your team can: build, monitor and scale OT data streams themselves.
04
Enterprise Data Layer
Time-series & relational databases for production data.
Manufacturing data is worthless if it cannot be structured, stored and queried efficiently. We train your team in modern database architectures with PostgreSQL and InfluxDB — including data modelling, query optimisation and retention policies.
After this your team can: model, store and make production data available for analytics.
05
Cloud & Edge Computing
From edge gateways to Kubernetes — hosting OT data securely.
Whether on-premise with Docker and Kubernetes, edge gateways directly at the machine, or public cloud — we show your team how to build hybrid infrastructures that keep OT data secure, low-latency and highly available.
After this your team can: operate, scale and secure industrial infrastructure independently.
06
AI Inference
Machine learning directly at the machine — for predictive maintenance.
AI in production does not need to live in the cloud. We integrate ML models for anomaly detection and predictive maintenance directly into your edge infrastructure — and enable your team to train, deploy and monitor these models themselves.
After this your team can: integrate and operate ML models in production processes independently.
Ready to start?
Which capability does your team need next?
In a free architecture call we analyse together where your biggest lever is.