Smart building management that keeps systems efficient, reliable, and comfortable

Use intelligent digital twins to understand how building systems really behave—detect issues early, optimize performance, and improve occupant comfort without constant manual tuning.

Why building operations stay reactive

Even with modern BMS tools, many facilities teams struggle with:

  • Rising energy costs without clear drivers
  • HVAC issues discovered only after comfort complaints
  • Alarms that overwhelm teams but lack context
  • Preventive maintenance that's either too late or too early
  • Limited visibility across multiple buildings or campuses

Traditional systems show what is happening in isolation. Smart building management requires understanding why it's happening—and what to do next.

From monitoring to intelligent control

This solution applies the intelligent digital twin model to a specific operational challenge. For a full explanation of the model itself, see: What is an Intelligent Digital Twin →

With intelligent digital twins, smart building management becomes a living model of how building systems interact.

For smart building management, intelligent digital twins are used to:

  • Represents HVAC, lighting, energy, and supporting systems together
  • Learns normal behavior under different occupancy and weather conditions
  • Detects subtle deviations before they become problems
  • Evaluates trade-offs between comfort, efficiency, and equipment health

This allows teams to move from reacting to alarms to managing buildings proactively.

A practical, day-to-day approach

1. Connect existing building data

Integrate BMS, meters, sensors, schedules, and external signals like weather.

2. Model system behavior

Create a digital representation of how building systems behave together.

3. Detect issues early

Identify anomalies and inefficiencies before occupants are affected.

4. Optimize performance

Test setpoints, schedules, and control strategies virtually.

5. Monitor and improve continuously

Track results and refine strategies as conditions change.

Where smart building management delivers value

HVAC performance optimization

Maintain comfort while reducing waste.

  • Detect inefficient operation early
  • Balance comfort, energy use, and equipment wear

Energy & cost control

Lower operating costs with confidence.

  • Understand energy use by system and zone
  • Reduce peaks and unnecessary consumption

Predictive maintenance for building systems

Prevent failures before occupants notice.

  • Identify degradation in chillers, pumps, and AHUs
  • Reduce emergency call-outs and downtime

Related: Predictive maintenance →

Portfolio & campus management

See patterns across buildings.

  • Compare performance across sites
  • Identify best practices and underperformers
  • Support investment and retrofit decisions

Value across building and facilities roles

Facilities managers

  • Focus on issues that truly matter
  • Reduce after-hours emergencies
  • Improve system reliability

Energy & sustainability managers

  • Track efficiency and emissions accurately
  • Validate energy-saving initiatives
  • Support ESG reporting

Portfolio owners & operators

  • Gain consistent visibility across properties
  • Make data-backed investment decisions
  • Improve asset value and performance

What teams typically achieve

Results vary by building type and condition, but teams often target:

  • 10–30% reduction in building energy use
  • Fewer comfort complaints and service disruptions
  • Lower reactive maintenance and emergency repairs
  • Longer equipment life and improved reliability
  • Better visibility across building portfolios

The biggest gains usually come from early detection and smarter control—not major retrofits.

Start with one building or system. Prove value. Scale.

1. Start

Choose a building or system with high energy cost or frequent issues.

2. Prove

Validate improvements using real operational data.

3. Scale

Extend smart building management across additional systems or sites.

How the platform supports scale →

Common questions about smart building management

Will this replace our existing BMS?
No. Smart building management layers on top of existing systems to improve insight and decision-making.
Do we need new sensors everywhere?
Not necessarily. Many teams start with existing data and add sensors only where they add clear value.
Is this only for new buildings?
No. Many of the biggest gains come from improving existing buildings.
How quickly can we see results?
Focused use cases often deliver early insight within weeks.
Will this increase day-to-day workload?
No. Intelligent digital twins reduce noise and help teams focus on what matters most.

Run smarter buildings—without constant firefighting

Start with one building challenge and build from there.