Manufacturing digital twin: monitoring equipment, lines, and events

We build a digital twin to monitor equipment, lines, and events. We help detect deviations, predict failures, and reduce downtime.

Our clients

Clients and partners

Saint-Gobain
EKF
Capital Group
FSK Group
SMLT
Tochno
Dogma
Sber City
FM Logistic
Danone
Relief Center
Pandora
Manufacturing Digital Twin
Askona
FIX PRICE
Snezhnaia Koroleva
Muztorg
TVOE
Greenway
Polaris
Campari
Yandex
Lenta
International perfume and cosmetics brand
Manufacturing Digital Twin
RAEC
L'Etoile
Inventive Retail Group
  1. We build a digital twin: sensors, IoT, ERP, and MES integrations.

  2. We monitor production lines and optimize downtime and quality in real time

  3. Deviations in manufacturing mean losses and downtime.

  4. The digital twin connects equipment, data, and models in one space where every second is under control.

  5. Manufacturing digital twin: monitoring equipment, lines, and events

Data collection from IoT, SCADA, and MES

The system receives telemetry in real time: line load, temperature, vibration, and power consumption. This is the foundation for analysis.

Scenario modeling and virtual testing

You can model the effects of changes - new equipment, schedules, raw materials - and assess risks before launch. This lowers the cost of mistakes.

Predictive fault detection

AI identifies patterns that precede failures. Maintenance becomes preventive, and equipment runs reliably.

Visualization and a single view of processes

All data, events and deviations are displayed in dashboards. Management gets an accurate picture of what is happening - not just averages.

Efficiency and growth in one solution

  1. Equipment, lines, and events are combined into a single model, where deviations are visible as soon as they occur. The solution includes:

  2. We connect telemetry from IoT, SCADA, and MES: line utilization, temperature, vibration, and power consumption

  3. We build a model to calculate scenarios - new equipment, schedules, raw material changes - before they are put into operation

  4. We configure predictive monitoring based on patterns that precede failures and surface events in dashboards. Business outcome:

  5. Maintenance becomes preventive rather than reactive

  6. Changes are tested on the model, not on the live line

  7. Management sees the actual state of processes, not an averaged summary

Map out your integration landscape

We will study your processes and propose a ready-to-use implementation plan

  1. We consult We discuss goals and tasks, define priorities, and set expected outcomes for the joint work

  2. We analyze your processes We study current processes and approaches, identify growth points, and determine which solution will deliver tangible results

  3. We plan the solution rollout, define scope, stages, and timelines, assign responsibilities, and agree on the criteria for success.

  4. Launch and support We implement the solution, train your team and provide support so the solution delivers tangible value

A digital twin built by practitioners, not theorists

We combine IoT, SCADA and MES data into a single model. The digital twin records equipment operation, predicts failures and optimizes utilization. 3-4 months - to build and launch a digital twin of a production line 10+ projects delivered in manufacturing and real estate development 30% less downtime through predictive control 100% real-time process visibility Customer reviews

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