Zyfra

Founded in November 2017, Zyfra is a company that develops and implements digital solutions for heavy industry, leveraging the Industrial Internet of Things (IIoT) and Artificial Intelligence. The company's strategic approach includes both in-house development and the acquisition of specialized firms, such as the VIST Group, a leader in digital mining technologies. This acquisition strategy has broadened Zyfra's international presence and enhanced its capabilities in creating comprehensive solutions like the "Intelligent mine" project, which focuses on unmanned surface mining. In January 2021, the company secured $13.4 million in a Series B funding round.

The company's core business revolves around providing IIoT and AI-based solutions to optimize production processes, enhance safety, and reduce costs for clients. Its target markets include mining, metallurgy, oil and gas, and the chemical industry. Zyfra operates on a B2B model, supplying technologies that enable predictive analytics, big data analysis, and machinery monitoring to industrial enterprises. The firm's solutions have been implemented in hundreds of industrial facilities across Europe, Asia, Africa, and Latin America.

Zyfra offers a diverse product portfolio built upon its proprietary ZIIoT platform, which collects and processes real-time data from industrial equipment. Key products include 'MDCplus' for machine monitoring, 'Zyfra OpenMine' for fleet management in open-pit mining, and 'Zyfra Precision Drill' for automated drill rig management. The company has also developed robotic systems for remote-controlled and autonomous vehicles, such as dump trucks and drilling rigs. These solutions aim to improve transport efficiency by up to 20% by removing human operators from hazardous environments. Another offering is a system that monitors the condition of shovel teeth on mining equipment in real-time, sending alerts to prevent damage.

Keywords: industrial digitalization, IIoT, artificial intelligence, mining technology, predictive analytics, fleet management, process optimization, heavy industry, autonomous vehicles, asset monitoring