Local
Open source hardware combined with local control offers great flexibility. Tailor your automation solutions to your needs.
Immediate Control
Real-time control within the industrial facility.
Minimising latency,
Ensuring rapid response to changes.
Enhanced Security
Data and processes stay within your network, reducing exposure to external threats and ensuring protection of sensitive information.
Customised Automation
Local applications provide the flexibility to create tailored automation solutions.
Real-time Monitoring
Immediate access to data allows for real-time monitoring of equipment and processes, enabling faster decision-making.
Low Maintenance
Local systems typically require less maintenance and updates compared to cloud-based solutions, reducing operational disruptions.
Cloud
Harness the power of open source and cloud for a cost-effective way to scale your industrial operations without breaking the bank.
Remote Accessibility
Access to industrial data and control from anywhere with an internet connection, enhancing flexibility and scalability.
Data Analytics
Advanced data analysis, predictive maintenance, and long-term insights for optimized operations.
Scalability
Highly scalable, allowing you to expand your industrial infrastructure as your business grows.
Global Accessibility
Access your industrial data and controls from anywhere in the world, enabling remote management and troubleshooting.
Cost Efficiency
Cloud services often reduce upfront hardware costs and offer pay-as-you-go pricing models, optimizing your budget.
Edge
Embrace open source at the edge to foster innovation and collaboration among a community of developers, enabling constant improvement and feature expansion.
Low Latency
Edge computing processes data locally on the device, reducing latency and ensuring critical decisions are made quickly.
Offline Operation
Edge devices continue to function even when the connection to the central cloud is lost, providing reliability in remote or unstable network environments.
Edge Analytics
Perform data analysis at the source, enabling immediate insight and reducing the need to send data to the cloud for processing.
Redundancy
Edge devices can provide redundancy in the event of network failures, ensuring continuous operation in critical applications.
Lower Bandwidth Usage
Edge computing minimises data transfer to the cloud, reducing bandwidth usage and associated costs.
Gateway
Open-source gateways offer great flexibility, protocol adaptability and transparency for network control.
Interoperability
Edge computing processes data locally on the device, reducing latency and ensuring critical decisions are made quickly.
Data Filtering
Edge devices continue to operate even when connection to the central cloud is lost, providing reliability in remote or unstable network environments.
Protocol Conversion
Perform data analytincs at the source, enabling immediate insight and reducing the need for sending data to the cloud for processing.
Distributed Control
Edge computing processes data locally on the device, reducing latency and ensuring critical decisions are made quickly.
Security Enhancement
Edge devices continue to function even when the connection to the central cloud is lost, providing reliability in remote or unstable network environments.