Eurasian Sources Group says the digital instruments and synthetic intelligence applied sciences adopted by its vegetation and mines delivered an financial impression exceeding $111 million in 2025.
The worldwide metals and mining firm has continued to roll out its enterprise digitalisation program, strengthening IT infrastructure and connectivity and prioritising the event of proprietary AI options in-house, it says, putting a powerful emphasis on implementing and scaling such options to spice up operational effectivity, strengthen industrial security and streamline the administration of core enterprise processes.
Shukhrat Ibragimov, ERG’s CEO and Chairman of the Board of Administrators, stated: “In Kazakhstan, 2026 has been formally declared the 12 months of Digitalisation and AI. At ERG, we’re actively growing AI applied sciences throughout three key areas: laptop imaginative and prescient, robotic and autonomous gear and generative AI. Now we have already achieved tangible outcomes: in 2025, ERG’s digital instruments and applied sciences delivered an financial impression of greater than $111 million. All key digital options are developed in-house by our BTS (Enterprise & Know-how Providers) crew. Our specialists construct and implement digitalisation methods themselves. This additionally helps enhance the share of native content material.”
BTS, ERG’s devoted IT firm, implements digital instruments throughout manufacturing websites, together with automation methods and AI options. BTS supplies IT companies for each workplace staff and working personnel in a number of areas of Kazakhstan. It delivers 24/7 assist for 9 main industrial enterprises and round 60,000 customers. BTS employs over 1,000 specialists and has delivered greater than 30 main tasks for ERG over time.
Ibragimov added: “For ERG, the digitalisation of manufacturing and infrastructure is a complete program aimed toward additional enhancing effectivity and security and driving course of automation. AI helps us calculate unit prices extra precisely, determine alternatives and construct optimum growth eventualities, making mine planning extra exact and efficient. ERG embeds digital applied sciences and AI into all of its main tasks. These embody the two Mt/y HBI manufacturing plant, the development of a brand new 5 Mt pelletising plant at SSGPO, upgrades to calcination furnaces on the aluminium smelter, the ferroalloy gasoline recycling energy plant and gallium manufacturing, the place we goal to turn out to be the world’s second largest producer after China.”
Yerken Shnazbayev, Deputy CEO of ERG Kazakhstan for AI and Digitalisation, stated: “We’re constantly driving industrial transformation by leveraging our personal digital options. Immediately, they already ship measurable financial worth for the group. Options from BTS, starting from ERG Manufacturing Execution System and digital repairs administration to laptop imaginative and prescient and ERG Rail, are already in use in manufacturing, are being scaled throughout the group and collectively type a single digital administration framework for ERG’s industrial property.”
ERG MES (Manufacturing Execution System) is a digital platform that integrates manufacturing and enterprise processes. The answer permits real-time monitoring of product output, course of parameters, together with losses and gear downtime. ERG MES has already been adopted at Aktobe and Aksu Ferroalloys Vegetation, Kazakhstan Aluminium Smelter and Donskoy GOK. It’s at the moment being rolled out at SSGPO. ERG defined: “The system incorporates ERG’s digital assistant, MES Alina, which shows the related reviews and screens and retrieves gear information in response to voice or textual content queries. This hurries up the response to any deviations in manufacturing processes and improves operator effectivity.”
The upgraded management centre at Aktobe Ferroalloys Plant makes use of a digital twin of Smelting Store No. 4. The brand new system shows manufacturing processes in actual time. This allows course of engineers to observe the processes on a single display and rapidly carry out a digital walkthrough inspection.
ERG is, in the meantime, rolling out over 10 AI-powered initiatives throughout its manufacturing websites, spanning manufacturing, vitality, logistics and industrial security. CV options are used to observe conveyor utilisation and product high quality, digitise geological information, enhance security in open-pit mining and assist forestall accidents. All tasks are designed to ship sensible outcomes, minimising dangers, lowering downtime and strengthening operational self-discipline.
To enhance upkeep and restore effectivity, BTS has developed two companies – Operational Planning and Cell MRO (TORO). The options comprise a single digital system overlaying defect reporting, gear inspections and shift handovers, the corporate says. Repairs are deliberate utilizing the qollab company platform, the place restore groups are assigned and work orders are created. Schedules and employees workload are seen prematurely. Information is routinely transferred to SAP and are utilized by restore specialists on web site. ERG defined: “Utilizing a cell app, staff can report defects on the spot with photographs and a quick description. All data is captured within the system instantly, constructing a whole inspection and restore historical past. Managers achieve clear, real-time visibility into gear standing and work progress.”
ERG Rail (Dispatch) is an in-house answer developed by BTS to handle railcar fleets at industrial websites. Utilizing laptop imaginative and prescient and built-in AI, it tracks the motion and placement of railcars throughout a web site in actual time. The system is at the moment in use at Aksu Ferroalloys Plant, the place as much as 900 railcars are on web site day by day. Built-in with the qollab platform, Dispatch supplies staff with an interactive monitor map, digital journey sheets, reviews and notifications, all accessible in a single click on. The answer’s key benefit is its cost-effectiveness. In contrast to standard site visitors mild management methods, which require vital capital expenditure, Dispatch depends on program logic, AI and CV mechanisms, making it considerably less expensive and quickly scalable.
