RPA is the use of software robots to automate repetitive, rule-based tasks that are typically performed by humans, such as data entry, invoice processing, and responding to customer queries. It mimics human actions on digital systems, executing tasks quickly, without error, and around the clock. It’s typically used for processes that require high accuracy but do not need decision-making beyond predefined rules.

We design and configure RPA bots to work with existing applications and software. After identifying processes suitable for automation, we deploy RPA software to integrate with client systems, often requiring minimal disruption to business operations.

Use-Case: We implemented RPA for a manufacturing client, automating order processing, stock level updates, purchase order generation, and invoice processing.

The Industrial Internet of Things (IIoT) connects industrial equipment, sensors, and systems, allowing them to collect and exchange data in real-time to improve operational efficiency and decision-making. IIoT networks link machinery, devices, and sensors to form an intelligent system that monitors, analyzes, and responds to data. It’s a key part of the smart factory concept, optimizing everything from production lines to maintenance schedules.

We integrate sensors, machinery, and software to create a connected IIoT system for your factory. This system collects and analyzes data in real-time, providing insights that help you optimize performance, reduce waste, and predict future needs. All data is displayed in a single, accessible platform for real-time monitoring and decision-making.

Use-Case: We deployed an IIoT system, connecting machines and sensors into a unified network for real-time tracking of machine efficiency, energy usage, and product quality. We set up remote monitoring for multiple plants, providing real-time data on equipment performance and allowing remote adjustments and control.

Robotics integration refers to the implementation of physical robots into manufacturing or production processes, allowing them to perform tasks such as assembly, packaging, or material handling. Robots can be fully autonomous or work alongside human operators (cobots), improving efficiency and precision in processes that are repetitive, dangerous, or require high accuracy.

We analyze your production needs to determine the best robotic systems, then integrate them into your existing workflows. This includes configuring the robots to communicate with your machinery and systems and training your staff to operate alongside these machines.

Use-Case: We integrated robotic systems for an automotive manufacturer, automating tasks like welding, painting, and assembly with cobots working alongside human operators.

Predictive Maintenance uses real-time data from sensors and AI algorithms to predict when equipment will fail or need service, allowing for proactive maintenance. PM analyzes data from machines—such as vibration, temperature, or sound—to detect patterns that precede equipment failure. This allows businesses to schedule maintenance before a breakdown occurs, avoiding costly downtime.

We install IoT sensors on your equipment to gather real-time operational data. This data is fed into AI-driven predictive models, which are integrated into your maintenance schedule. Our system alerts your team when a machine requires servicing, allowing for timely intervention.

Use-Case: We installed IoT sensors on key machinery, enabling real-time monitoring of equipment health and predictive maintenance to prevent unexpected failures.

Quality Control (QC) ensures that products meet required standards, while Non-Destructive Testing (NDT) evaluates the properties of a material, component, or system without causing damage. QC checks for defects in products during or after production, while NDT allows for internal inspections (e.g., for structural integrity) without destroying the item being tested.

We integrate automated QC systems into your production lines that can inspect every product in real time. For NDT, we implement sensors and imaging tools (like ultrasound or X-ray) that can scan and assess materials without halting production.

Use-Case: We integrated automated NDT and quality control systems into a production line, using ultrasound to inspect product integrity without halting production.