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LET'S WRITE YOUR DIGITAL TRANSFORMATION STORY TOGETHER.
END Çözüm operates in Bursa Technical University Technology Development Zone (Bursa Teknopark). Our main field of work is to develop high value-added, innovative, national and international innovation and R&D ecosystem-contributing products and solutions with advanced technology for the manufacturing sector.
We combine our experience and knowledge in the fields of automation, engineering, data science and software in our projects planned in cooperation with industrial companies and universities.
As END, we develop digital transformation projects that increase quality, reduce costs, improve operational efficiency and increase workforce productivity with the solutions we offer. By combining comprehensive automation and software development expertise under the same roof, we provide digital transformation consultancy, machine modernization and training services.
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Smart Manufacturing and the Internet of Things (IoT)
By using IoT sensors in production processes, you can collect data from machines and equipment and integrate them with each other and with operating systems. This way, you can perform real-time data analysis, reduce machine downtime, optimize maintenance activities and increase efficiency.
Industrial Automation and Robotics
With automation systems and robotic technologies, you can perform repeatable tasks without human intervention. This increases the efficiency of production processes and allows you to direct manpower to more strategic and complex tasks.
Big Data Analytics
By analyzing large data sets from manufacturing processes, you can make better decisions and increase their efficiency. Big data analytics can identify trends, anomalies, and predictions in manufacturing data and help drive improvements in manufacturing processes.
Virtual Reality (VR) and Augmented Reality (AR)
VR and AR can be used in areas such as training, simulation and maintenance in production processes. For example, VR training can be organized to teach new employees how to use complex equipment, or you can quickly detect errors in maintenance processes with AR glasses.
Artificial Intelligence (AI) and Machine Learning (ML)
AI and ML can be used in areas such as data analysis, forecasting, quality control, and automated decision making in manufacturing processes. For example, AI-powered quality control systems can detect defects in products and make recommendations for improving manufacturing processes.