Solutions that turn operational complexity into measurable performance.

Start with the problem that matters most—downtime, throughput, energy, reliability, safety, or visibility. Each solution is designed to prove value fast and scale across assets, sites, and networks.

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Find your starting point

What are you trying to improve?

Reduce unplanned downtime Increase throughput / OEE Cut energy use and cost Improve maintenance efficiency Improve supply chain visibility Strengthen safety and preparedness

Not sure? Start with Predictive Maintenance or Energy Optimization—two of the fastest paths to measurable ROI.

Explore solutions by use case

Predictive Maintenance

Prevent failures before they stop production.

Best for: Reliability teams, maintenance leaders, plant ops

Outcomes:

  • Fewer unplanned stoppages
  • Earlier detection of asset degradation
  • Better maintenance prioritization
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Production Optimization

Lift throughput without new capex.

Best for: Plant managers, process engineers, continuous improvement

Outcomes:

  • Bottleneck identification
  • Faster changeover and scheduling decisions
  • Lower scrap and variability
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Energy Optimization

Reduce energy intensity and prove savings.

Best for: Energy managers, ops leadership, sustainability teams

Outcomes:

  • Lower energy cost and peak demand
  • Load shifting and schedule optimization
  • Traceable impact reporting
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Smart Building Management

Improve comfort while controlling operating cost.

Best for: Facilities teams, campus ops, CRE/facility leadership

Outcomes:

  • HVAC and system anomaly detection
  • Better comfort and air-quality control
  • Reduced energy waste
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Supply Chain Visibility

See flow end-to-end and prevent congestion.

Best for: Logistics leaders, warehouse ops, network planners

Outcomes:

  • Faster detection of constraints
  • Improved OTIF and service levels
  • Better routing and scheduling decisions
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Safety & Emergency Simulation

Practice the scenarios you never want to face—safely.

Best for: EHS leaders, operations, city/infrastructure planners

Outcomes:

  • Better preparedness and response
  • Risk-free training and drills
  • Stronger compliance readiness
View Safety & Emergency Simulation →

Start small. Prove impact. Scale confidently.

1

Start

Pick one critical asset, line, building, or node. Define success metrics (downtime, throughput, energy, cost).

2

Prove

Run the solution against real operational data, validate signals, and establish a baseline + measurable improvements.

3

Scale

Expand to additional assets, sites, and scenarios—reusing what works instead of rebuilding from scratch.

See how the platform supports every solution →

Solutions that fit across industries

While each environment is different, the outcomes are consistent. Duora solutions are used across:

Manufacturing

(lines, assets, OEE, changeovers)

Energy & Utilities

(reliability, load, resilience)

Smart Buildings

(HVAC, comfort, energy)

Logistics & Supply Chain

(flow, congestion, OTIF)

Cities & Infrastructure

(preparedness, resilience planning)

Explore industries → What is an intelligent digital twin? →

Typical outcomes teams target

20–30%

reduction in unplanned downtime

5–10%

throughput uplift (without major capex)

10–20%

maintenance cost reduction

10–15%

energy savings (site/building dependent)

Results vary by use case, data availability, and operational context. The fastest wins come from high-impact constraints and repeat failure modes.

FAQ: Choosing the right solution

Which solution should we start with?
Start with the most expensive recurring pain: frequent stoppages, rising energy costs, persistent bottlenecks, or chronic congestion. If you're unsure, Predictive Maintenance and Energy Optimization are common first wins.
Do we need perfect data to begin?
No. Most teams start with the data they already have, then improve quality and coverage as the solution proves value.
How long does it take to see results?
Many organizations see early insight within weeks for a first use case, then expand as they validate impact.
Will this replace our existing tools?
Not necessarily. These solutions typically integrate with existing systems, adding a decision-ready layer that connects data, models behavior, and supports better actions.
Who needs to be involved internally?
Common stakeholders include operations, maintenance/reliability, IT/OT data owners, and a business owner for KPIs and ROI tracking.

Pick a problem. We'll show the path to measurable impact.

Bring one use case—leave with a clear plan for first value and scale.

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