The company applies cutting edge data science combined with industrial expertise to provide end-to-end solutions help machinery to optimise production speed, quality, and cost.
During the conference, ZYFRA introduced its real-time machine data collection system MDCplus can be used to track jobs, operations, work centres, scrap, costs, downtime, and people, and demonstrated its industrial AI solution. At its show-bench the company offered exhibition visitors a simulated steelmaking "man versus machine" challenge. Their solution can either predict quality and product properties, or recommend process settings and material usage. By learning from historic operational data, the company's industrial AI solution can significantly increase productivity.
During IOTSWC, Dmitry Lukovkin was invited to join the panel “Artificial intelligence for oil and gas industry processes control and optimisation. AI perspective and lessons learned”.
ZYFRA, founded in November 2017, currently operates in Bulgaria, Finland and India. The company connected over 7,000 CNC machines. ZYFRA technologies allow customers to drastically boost machinery utilisation efficiency and improve the accuracy of product quality prediction.
Further information can be found on the company's website: http://www.zyfra.com/en/#technologies