We work with startups and mature companies that build industrial automation and robotics systems worldwide, helping them solve specific engineering problems within their development projects. Typical partners include:  

Manufacturers of drive electronics — frequency converters, servo and stepper controllers, soft starters  

• Manufacturers of DCS / PLC / PAC and data acquisition (DAQ) systems  
• Manufacturers of industrial interface converters  
• Power supply companies and power-electronics / power-engineering specialists  
• Companies needing custom software for IA, HMI, SCADA, OPC/OPC UA, ROS, and related technologies  
• Green energy solution providers  
• Telecom companies focused on industrial networks  
• Developers of DAQ/IO systems and safety controllers  
• Predictive maintenance and Edge AI for industrial automation systems  
• Manufacturers of elevators, conveyors, and cranes  
• 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  
• Smart-home and building-automation companies  

Don't see your exact category? We're still happy to discuss your engineering challenge — reach out.

The standard approach solves specific tasks in controlling industrial processes. IIoT is an autonomous predictive system that usually is not directly part of the production process.  

With IIoT, processes can be monitored by measuring the metrics needed for predictive maintenance, enabling faster decisions at the business level. It uses edge processing, where data is transmitted to the cloud, bypassing the transmission level to the PLC and SCADA system.

For most industrial automation systems, timing is crucial: they must be well-coordinated and react in real time to external events at critical moments to guarantee the safety and efficiency of the whole process. To ensure this, we use safe real-time operating systems and, for supercritical systems, industrial-standard FPGA solutions.

Solutions built for industrial automation have a long component lifecycle. Innovations must be considered from many angles, because selecting a new device or embedded system — and integrating it into the production chain — can take years, even decades. The temperature grade usually ranges from −40 to +85 °C, and our developers select components within these time and temperature constraints.

SIL stands for Safety Integrity Level and refers to the certification of software and hardware components to ensure their reliability and safety. SIL certification identifies all process hazards, assesses the risk of failure, and ensures that if a failure occurs, the component will "fail safely." For a given process there can be four levels, from SIL 1 to SIL 4, determined by the risk reduction factor (RRF). The level is ensured across software, hardware, and documented failure scenarios; each level has an acceptable failure rate — the higher the level, the lower the rate.

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

New technology takes time to industrialize and standards take a long time to adopt, so change comes slowly: for example, HMS Networks' research showed that, at the start of 2022, wireless protocols accounted for only 7%, with most data still transmitted over wired networks.  

The hardware evolves, but popular networking technologies persist, and many industrial protocols are proprietary, so engineers must join the organization that develops a standard to learn how it works. That high entry threshold reflects the high reliability demands placed on these systems and it's what makes industrial automation so conservative.