Duora implements the intelligent digital twin model to turn assets, lines, buildings, grids, and networks into living digital systems that sense, simulate, and optimize performance, across a single, unified platform.
Duora is a platform designed to implement the intelligent digital twin model in operational environments. It connects operational, engineering, and enterprise data into a governed twin fabric that stays synchronized with real-world conditions. On top of this foundation, the platform enables continuous simulation, predictive intelligence, and optimization, helping teams anticipate failures, identify bottlenecks, and test decisions before acting in the physical world. Organizations typically begin with one asset, line, building, or node, and scale across sites and systems using configurable accelerators.

To understand the intelligent digital twin model itself, and how it differs from traditional digital twins, dashboards, and simulation, see:

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Connects to SCADA, PLCs, historians, MES, BMS, IoT sensors, cloud systems
Normalizes OT, IT, and engineering data in near real-time
Supports event, time-series, and geospatial inputs
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The six pillars of the Duora platform
Machine & line twins
OEE, scrap, downtime, maintenance workflows
Bottleneck simulation
Grid and generation twins
Load/renewable forecasting
Outage and reliability modelling
HVAC, lighting, occupancy, energy
Comfort scoring and anomaly detection
Energy optimization
Warehouse, yard, fleet, terminal twins
Congestion prediction
OTIF and flow optimization
Transportation, utilities, emergency response
Resilience modelling and climate scenarios
Deploy the platform your way
Fastest time-to-value, secure multi-tenant or private cloud.
Local computation for latency-sensitive environments, cloud for analytics + governance.
Air-gapped and regulated environments.
Duora experts operate and optimize the environment while your team focuses on outcomes.
Built for day-to-day decision-making across roles
Monitor overall performance
Resolve bottlenecks
Run what-if scenarios before scheduling changes
Predict failures earlier
Prioritize interventions
Track asset health across fleets and sites
Optimize schedules, setpoints, and load shifting
Detect efficiency losses before they appear on bills
Prove savings with traceable data
Stress-test future situations
Evaluate expansion, redesign, and outage planning
Build custom models with API/SDK access

Why organizations choose the Duora platform
Reduction in unplanned downtime
Throughput improvement without capex
Maintenance cost reduction
Energy savings across buildings + industrial sites
Start with one asset, one line, one building, or one cluster, and scale as value grows