edgeCollect | edgePredict
Our software library for problems in the areas of predictive maintenance, condition monitoring, remote control and resource consumption monitoring. With edgeCollect | edgePredict, you can effortlessly collect, prepare and process various data across devices and manufacturers. The majority of the library’s components are hardware-independent and can be used on miniaturized hardware, IoT gateways or (edge-)servers.
We are currently connecting heat generation plants online for an energy supplier, in which components from various manufacturers are installed and data from different sources is combined and processed. This data can be used to identify maintenance requirements and optimize efficiency.
polyTwin
Describe your systems with standardized attributes, merge data from different sources, display live data and compare it with historical values. Connect our digital twin to a wide range of IoT platforms, clouds and databases to create a unified view of assets and processes.
confioty
Our configurator guides users through the process of IoT development and provides suggestions for compatible hardware and software for problems in the areas of predictive maintenance, condition monitoring, remote control and resource monitoring. The user is first asked about the framework conditions and solution requirements and then all interfaces (software and hardware) of the system can be modeled in our interactive 2D tool. Based on a standardized database and a matchmaking algorithm, confioty then provides suggestions for sensors, computer hardware, software, network technology, services and integrators who can help with the implementation.
Project Business
We are the expert team for condition monitoring, machine prognostics and resource consumption monitoring on EDGE hardware. Our vision is that not every data point needs to be uploaded to a cloud, but can already be processed offline on site. This ensures high data quality, saves energy during data transmission, enables increased IT security as well as data sovereignty over process know-how and prevents vendor lock-in effects.
From prototyping to product development, from microcontrollers to IoT gateways, from classical signal processing to the implementation of learning systems. We combine the expertise of hardware-related edge and embedded development with the latest trends in signal processing and pattern recognition, especially Deep Learning and Artificial Intelligence. Learn more about our customized solutions and get individual advice.