Smart building digital twins for efficient, reliable, and comfortable spaces
Model your buildings and campuses as living digital twins—so you can reduce energy use, prevent system failures, and deliver better occupant experiences without guesswork.
Buildings are expected to do more with less
Facilities and real estate teams are under pressure to lower operating costs, meet sustainability targets, and keep occupants comfortable—often with aging equipment, fragmented systems, and limited visibility.
What's creating complexity
- Rising energy costs with unclear drivers
- HVAC and system failures discovered only after complaints
- Difficulty balancing comfort, efficiency, and reliability
- Limited insight across portfolios of buildings
- Disconnected BMS, sensors, and reporting tools
The smart building advantage
- Predict and prevent system failures before occupant impact
- Optimize energy use while maintaining comfort
- Understand complex system interactions
- Gain visibility across building portfolios
- Make data-driven facility decisions
From reactive management to predictive control
In smart buildings, an intelligent digital twin acts as a living model of how systems actually behave—not just how they're configured.
It continuously represents:
- HVAC, lighting, and energy systems
- Occupancy patterns and usage behavior
- How weather, schedules, and setpoints affect performance
- How issues in one system impact comfort and cost elsewhere
With an intelligent digital twin, teams can:
- Detect anomalies before occupants feel them
- Test schedule or setpoint changes virtually
- Understand trade-offs between comfort, energy, and wear
- Make confident adjustments without disrupting operations
Smart building use cases powered by intelligent digital twins
Smart Building Management
Keep systems running smoothly every day.
- Monitor HVAC and building systems in context
- Detect abnormal behavior early
- Reduce reactive work orders
Energy Optimization
Lower energy use while maintaining comfort.
- Understand energy drivers by system and zone
- Test load shifting and schedule changes safely
- Track and prove savings over time
Predictive Maintenance
Prevent failures before they impact occupants.
- Identify degradation in chillers, pumps, and air handlers
- Prioritize maintenance based on impact
- Reduce emergency call-outs
Portfolio & Campus Optimization
See patterns across buildings—not just one site.
- Compare performance across properties
- Identify best practices and outliers
- Support investment and retrofit decisions
(Often layered on top of building-level use cases)
Value across facilities and real estate roles
Facilities managers
- Start each day with a clear view of system health
- Focus on issues that truly affect comfort or cost
- Reduce fire-fighting and after-hours calls
Energy & sustainability managers
- Track energy performance in real time
- Validate efficiency initiatives with real data
- Support ESG and reporting requirements
Portfolio owners & operators
- Compare buildings using consistent metrics
- Identify where upgrades deliver the most value
- Plan improvements with confidence
What building teams typically target
Outcomes vary by building type and condition, but teams often aim for:
- Improved system reliability and asset life
The biggest gains usually come from early detection and smarter control—not major retrofits.
Start with one building. Prove value. Scale across the portfolio.
1. Start
Choose a building or system with high energy cost, frequent issues, or visibility gaps.
2. Prove
Use live data to establish baselines and validate improvements.
3. Scale
Expand to additional systems, buildings, or campuses using the same approach.
Common questions from building and facilities teams
See how intelligent digital twins can improve your buildings
Start with one building challenge—energy, comfort, or reliability—and build from there.