We work with startups and mature companies that produce industrial automatics and robotics systems worldwide. Our team helps them solve specific engineering problems within our manufacturing automation consulting and development projects. Here are a few examples of our current and potential customers:

• Manufacturers of drive electronics (frequency converters, servo, and step controllers, soft starters).
• Manufacturers of DCS/PLC/PAC and data acquisition (DAQ) systems.
• Manufacturers of industrial interface converters.
• Power supply companies and those focused on power electronics and systems for power engineering.
• Companies that need customised software development for IA, HMI, SCADA, OPC/OPC UA, ROS, and other technologies.
• Companies working with green energy solutions.
• Telecom companies focused on industrial networks.
• Developers of DAQ/IO systems and safe controllers.
• Companies in predictive maintenance and Edge AI for IA.
• Manufacturers of elevators, conveyors, and crane manufacturers.
• Manufacturers of CNC and batching systems.
• Manufacturers of relay automation (RPA, PA, and more).
• Developers of mobile robots for various applications.
• Manufacturers of air conditioning/cooling systems.
• Companies focused on smart homes and building automation companies.

Even if you don't find yourself on this list, we're still happy to discuss your potential engineering challenges. So don't hesitate to contact us.

The standard approach solves certain tasks in the control of industrial processes. IIoT is an autonomous predictive system that is usually not directly included in the production process. With IIoT, processes can be monitored by measuring the metrics needed for predictive maintenance solutions to make faster decisions at the business level. It involves edge processing when data is transmitted to the cloud system, bypassing the transmission level to the PLC and the SCADA system.

For most systems in industrial automation, time is crucial: they must be well-coordinated and react in real time to external influences at critical moments to guarantee the safety and efficiency of the whole process.

To ensure this parameter, we use safe real-time operating systems, and for supercritical systems, we offer industrial standard FPGA solutions.

The solutions that are created for industrial automation have a long lifecycle of components. In this area, innovations must be considered from many perspectives because, when selecting a new device or embedded system, planning and its integration into the production chain can take years (even decades).

The temperature grade in industrial automation usually ranges from -40 to +85 degrees Celsius. Our developers are guided by these time and temperature frames when selecting components.

The SIL abbreviation stands for Safety Integrity Level and refers to the certification of software and hardware components to ensure their reliability and security.

SIL certification identifies all process hazards, assesses the risk of failure, and determines that if a failure occurs, the component will "fail safely". For the same process, there can be four safety levels, from SIL 1 to SIL 4 that are determined by calculating the hazard risk reduction factor (RRF).

The SIL level is ensured in terms of software, hardware, and descriptions of possible situations. Each level has an acceptable failure rate: the higher the level, the lower the failure rate.

Plants are critical facilities. Reliability and resilience are crucial for systems that are implemented in manufacturing because they directly affect people's lives — from industrial injuries to technological disasters. To avoid attacks on industrial facilities, systems must be minimally vulnerable at the device and communication protocol levels.

The new technology takes time to industrialise, and standards take a long time to adopt, so change comes slowly. For example, HMS Networks' research shows that, at the beginning of 2022, the share of wireless protocols was only 7%, and the bulk of data transmission still went through wired networks.

The hardware is changing, but popular networking technologies remain. All industrial protocols are closed as proprietary ones, so engineers have to join the organisation that develops them to find out how a particular standard works. This high entry threshold is due to the high demands placed on the reliability of the systems to be implemented. This is what makes the industrial automation industry so conservative.