IoTBreeze - Generating Added Value from Data
Whether your machines, systems, or other devices – in short, assets – are already equipped with the necessary sensor technology (e.g., cameras, bus systems, IoT interfaces) or not, sooner or later the central question arises: How can you efficiently use your data to generate real added value?
Because there is no doubt: A large volume of data is not enough. Without structured analysis and intelligent linking, valuable insights remain unused, and real optimization potential stays hidden.
More Efficiency. More Transparency.
With IoTBreeze, we are closing the gap between corporate strategy, operational processes, and heterogeneous data sources – whether from production machines, stationary or mobile equipment.
Our technology enables you to derive concrete recommendations for action for your company from data with minimal effort and maximum efficiency.
These insights are directly embedded into your strategy, decision-making processes, and workflows – for greater efficiency, transparency, and competitive advantages.
Innovative, flexible and secure – IoTBreeze for your company
We don't just offer an IoT solution – we develop exactly the solution that fits your company.
Based on the powerful modules IoTBreeze Core, IoTBreeze AI and the Rules Engine, you benefit from:
⇒ Performance and process optimization
⇒ Reduction of downtime through predictive maintenance
⇒ Sustainable product improvement through identification of weak points
⇒ Automated control and intelligent decision-making processes
A solution that fits to your company –
not the other way around.
Our managed IoT solution has been developed to be highly flexible and secure.
The core of the solution remains independent of individual customizations and extensions – so you can scale at any time without compromising on performance, security, or maintenance.
For every industry, for every application – IoTBreeze makes IoT smart and scalable.
You can find details and features here:
Rules Engine
Business process automation Event-driven backend processes such as purchase requisitions, maintenance and service orders, production orders, and much more
Automated messaging Instant notification of critical events for rapid problem resolution
Dynamic extension and adaptation of logic and rules Flexible and situational adaptation or extension of existing logic and rules, or creation of new ones
Rule-based operation of machines and systems Fine-tuning of individual machines for output optimization
IoTBreeze - Rules Engine
- Handles even incomplete IoT data sets reliably
- Dramatically cuts processing time with smart rule selection
- Scales horizontally as data volumes grow
- Integrates seamlessly with IoTBreeze, our managed IoT platform for analytics & reporting, automation, and more
As a result, only the truly relevant rules are checked out of several thousand possible rules—this makes the difference between slow batch processing and super-fast real-time analysis.
Our engine performs well and is failure-proof, even with large IoT installations with thousands of sensors.
This makes the future of industrial data processing even smarter, faster, and more reliable.
Geo Fencing
Automated control, actions and notifications Triggering actions when geolocalized boundaries are exceeded or fallen below.
Creating and optimizing routes and paths More efficient and effective routes through data analysis and fine-tuning.
Autonomous machine control Precise control of driverless, highly automated vehicles, transport systems, machines, etc.
AI - Anomaly Detection
Detect and process data and patterns that deviate from the norm
Early fault detection Prevents failures and minimizes damage through timely warnings.
Cost savings Reduces maintenance costs and production downtime through predictive maintenance.
Quality improvement Ensures consistent product quality by detecting deviations.
Increased security Protects against cyberattacks, fraud, and safety-critical disruptions.
AI – Predictive Scenarios for
efficient maintenance and production
Predictive Maintenance
Optimizing maintenance schedules
Rredicting the optimal timing for maintenance and service activities.
Automated processes
Automatically triggering procurement and production processes based on forecasts and minimizing downtime.
Early remote maintenance
Avoiding operating errors and ensuring operational readiness through proactive maintenance.
Predictive Manufacturing
Anticipate spare parts production
Ensure early production of spare parts based on wear and usage data.
Take seasonal influences into account
Adapt production processes to seasonal fluctuations and weather conditions.
Consider supply chain aspects
Consistent planning and adaptation to current availability along the supply chain.