ZYFRA ranked among the TOP10 industrial solutions

ZYFRA became one of 10 companies selected as a participant of a TESTBEDS section of the IoT Solutions World Congress held in Barcelona on the 16th – 18th of October.

Company’s solution – Digital Advisor is a recommendations system for industrial enterprises that presents to the operator a specific guide to action to achieve the target parameters (energy efficiency, quality, productivity).

We are proud of being featured among 10 best AI solutions in real production sector projects and be presented in a TESTBEDS section”, said Dmitry Lukovkin, AI Business Director of ZYFRA.

Finland-based company ZYFRA, specializing in Artificial Intelligence (AI) and Industrial Internet of Things (IIoT) based solutions for the industries. The company is applying cutting edge data science combined with industrial expertise to provide end-to-end solutions for optimizing production speed, quality, and costs for industries such as machinery, metallurgy, oil and gas and mining.

At IOTSWC ZYFRA also introduced its Real-time machine data collection system MDCplus that could be used to track jobs, operations, work centres, scrap, costs, downtime and people. It also demonstrated its Industrial AI-solutions that can either predict quality and product properties, or recommend process settings and material usage.

At its show-bench the company offered exhibition visitors a steelmaking challenge on its simulator in a “man VS machine” format, where one will be able to find out whether he or she could do the job better than an AI.

As one of the IOTSWC major speakers, Dmitry Lukovkin, took a panel-speech covering the topic of “Artificial intelligence for oil and gas industry processes control and optimization. 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 utilization efficiency and improve the accuracy of product quality prediction. With its software, hardware and services a customer can transform his production into digital.

For reference:

Evolutionary development of industry from mechanization to industrialization, and then from automation to Industry 4.0 is characterized by the massive use of various sensors for the collection and exchange of information integrated with intelligent systems.

The Industrial Internet of Things (IIoT) is a computer network consisting of elements of industrial equipment, scientific tools, equipped with technologies of interaction with each other and the external environment. The goal of the Internet of Things is to change the technological and business processes in such a way as to increase their efficiency and significantly reduce the need for human participation in making routine decisions related to the management of objects in such networks. In a general sense, IIoT can be equated to fully automate digital production.

The introduction of such technologies will enable enterprises from different sectors of the economy to increase the efficiency of the use of production assets, for example, by reducing the number of unplanned outages, forecasting and preventing emergency equipment failures, increasing energy efficiency through more economical use of energy, guaranteeing stable output quality, and ultimately increase productivity.