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Industry 4.0: Digital Enterprise Ecosystem
Digital twins, smart factories, cyber-physical systems, and data-driven scenarios for production, cities, logistics, and infrastructure.
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Data That Works for You
We do not simply install sensors. We build an architecture where every machine, city traffic light, or logistics node becomes a data source. This makes it possible to model situations in a virtual environment and implement changes in reality without downtime risks.
Solution Ecosystem
Digital Twin
Digital twins for cities, districts, industrial sites, and infrastructure assets: geodata, buildings, roads, cameras, UAVs, utilities, safety, social infrastructure, and ESG scenarios.
Digital Factory
Digital twins for production and warehouse processes: forklift routes, pallet placement logic, micro-loaders, patrol drones, and digital equipment models.
Digital City
Digital twins for cities, districts, and infrastructure territories: geodata, buildings, roads, cameras, UAVs, utilities, safety, social assets, and ESG scenarios in a unified engineering 3D environment.
Digital Infrastructure
Simulation of airports, stations, transport hubs, ports, and complex urban infrastructure facilities
Cyber-Physical Systems
Software and hardware systems that connect equipment, cameras, sensors, digital twins, AI models, machine vision, and control algorithms into one working loop.
Based on Advanced Platforms
Technologies in Action
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Successful Industry 4.0 Cases
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How We Automated Tyre Labelling for PJSC "Nizhnekamskshina"
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Result:
- Automated SKU identification and production statistics collection
- Reduced labeling workload by minimizing manual labor
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Track & Trace System "Chestny ZNAK" for AO "Taneko"
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Result:
- Automated the labeling processes in production
- Ensured reliable application and reading of codes in oil/fat environments
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Automated Final Inspection of Slot Filters for Alfa-Gorizont
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Result:
- Reduced inspection time from over 2 hours to about 10 minutes per filter
- Automated control of more than 4000 slots on a single product
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PET Preform Monitoring System for Resilux
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Result:
- Reduced defective production thanks to real-time monitoring
- Reduced manual box sorting
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Rapid Filter Slot Gap Monitoring for NPK “Filter”
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Result:
- Automated control of critical parameter on the line
- Reduced production setup and preparation time
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Unified Marking System for Rosneft-Lubricants
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Result:
- Automated marking across all production sites
- Solution deployed at 3 key enterprise sites
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Chestny ZNAK Labeling for 5 Rusagro Sites
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Result:
- Over 90 lines equipped at oil and fat production sites
- Labeling at speeds up to 18,000 units per hour with no loss of productivity
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Chips Marking for the Moscow Potato Factory
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Result:
- Automated mandatory product marking in production
- Reduced capital expenditures by utilizing existing equipment
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Paper Web Monitoring System for Kama PPM
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Result:
- Reduced breaks through earlier identification of causes
- Increased output due to shorter downtimes
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Laser Thickness Control of Flexible Shingles for Shinglas Plant
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Result:
- Over 15% defect reduction thanks to instant thickness deviation detection
- Up to 7% raw material savings by maintaining thickness within tolerance
FAQ
Yes, this is standard practice. We use retrofitting technology: external IoT controllers and sensors are installed on your existing equipment. This makes it possible to collect telemetry (vibration, temperature, energy consumption) even from analog machines and digitize their operation without purchasing a new and expensive equipment fleet.
Yes, this is standard practice. We use retrofitting technology: external IoT controllers and sensors are installed on your existing equipment. This makes it possible to collect telemetry (vibration, temperature, energy consumption) even from analog machines and digitize their operation without purchasing a new and expensive equipment fleet.
Yes, this is standard practice. We use retrofitting technology: external IoT controllers and sensors are installed on your existing equipment. This makes it possible to collect telemetry (vibration, temperature, energy consumption) even from analog machines and digitize their operation without purchasing a new and expensive equipment fleet.
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