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Digital Nano Twin

Digital Nano Twin

Digital Nano Twin

Digital Nano Twins bring operational reality into software: a living model of a machine, line, facility, or workflow that stays connected to telemetry, rules, and constraints. We build Nano Twins to run scenarios, predict risk, and improve decisions without experimenting on live operations.

35–55%

of operational changes go live without simulation, creating avoidable disruption and rework.

30–50%

of performance loss stays invisible when telemetry is not linked to process context.

25–45%

of planning decisions rely on static assumptions instead of real-time operating conditions.

Supporting Resources

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Nano Twin of the Store Network

A living model of store operations across regions—energy, refrigeration, replenishment, staffing, and service performance—connected to real telemetry. Designed to simulate operational changes, predict risk hotspots, and improve network-level decisions before issues become incidents.

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Nano Twin of the Aircraft Carrier

A governed digital twin of mission-critical ship operations and subsystems—built to support readiness planning, condition-based interventions, and scenario analysis. Outputs are audit-ready and workflow-aligned, so decisions remain controlled, traceable, and defensible.

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Nano Twin of Railway Stations

A station-level twin that models passenger flow, safety conditions, asset health, and operational constraints. Used for scenario planning (peak load, disruptions), early risk signals, and improving response workflows with a shared operational truth.

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Nano Twin of the Manufacturing Plant and Floor Operations

A production-grade twin of plant operations—machines, lines, material movement, quality gates, and maintenance windows. Used to simulate bottlenecks, predict drift, plan interventions, and improve throughput stability without disrupting live production.

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Nano Twin of the Fulfilment Network

A live model of fulfilment operations across automation, labour, inventory, and carrier constraints—built to predict throughput risk, test routing decisions, and plan peak readiness without compromising SLAs.

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Nano Twin of Hospital Operations and Critical Facilities

A governed twin for critical equipment and facility operations—supporting maintenance planning, capacity risk modelling, and compliance-aware decision workflows with strict access controls and audit trails.

Areas we support

Nano Twin Modelling and Data Fusion

Simulation and Decision Intelligence

Production Deployment and Lifecycle Governance