For Universities
Bring clarity to complex campus building systems.
LeanFM analyzes existing building system data to uncover hidden problems that waste energy, increase costs, and impact comfort across campus buildings—often before they trigger alarms or surface clearly.
- Identify hidden issues across multiple buildings
- Reduce energy waste without major capital upgrades
- Help your team focus on what actually matters
- Bring consistency across buildings with different systems and behaviors
Campus building signals
Academic
Lab
Residence
Operations
Prioritized campus findings
Why Campus Facilities Teams Are Taking a Closer Look
Large, complex building portfolios
Decentralized systems and teams
Growing energy and sustainability pressure
Limited time to review system data in detail
Pressure to meet energy and sustainability targets
Most Systems Show Data—But Don’t Show What Matters
Campus systems generate a large amount of data, but identifying which issues actually need attention is not straightforward.
On many campuses, the challenge isn’t lack of data—it’s knowing what actually matters.
The costliest problems are often the ones buried in the data, not flagged by alarms.
Systems running outside intended schedules
Simultaneous heating and cooling
Control inconsistencies across buildings
Sensor drift affecting comfort
Operational issues that persist unnoticed
Small Issues Multiply Across Buildings
Campuses rarely operate as a single system.
On a campus, even minor inefficiencies can scale across multiple buildings and systems.
Different buildings, systems, and teams often operate independently, making it difficult to identify patterns or shared issues.
Without a clear way to prioritize, teams are left reacting instead of addressing root issues.
Wasted energy across buildings
Inconsistent comfort experiences
Unnecessary strain on equipment
Reactive maintenance patterns
Inconsistent performance across similar buildings
Turn Complex Data Into Clear Priorities
LeanFM analyzes existing building system data across campus buildings and surfaces the issues that matter most.
No new hardware required
Works with existing building systems
Focused on prioritized findings, not raw data
Common Issues Across Campus Buildings
Equipment running outside intended schedules
Simultaneous heating and cooling
Scheduling inconsistencies
Control sequence issues
Sensor inaccuracies
Comfort-impacting faults
Examples of Hidden Issues on Campus
Buildings operating outside intended schedules
Heating and cooling systems working against each other
Inconsistent control behavior across similar buildings
Sensors drifting enough to impact comfort and system performance
Campus-specific patterns worth checking
Academic buildings running on outdated schedules
Residence halls with comfort drift
Labs or specialty spaces with tighter operating needs
Older buildings behaving differently than newer ones
Repeated issues across similar equipment
Want to see this across your campus?
Request a Sample AnalysisSimple Process Across Campus Systems
Request a Sample Analysis
Share available building system data
LeanFM analyzes the data
Review findings with our team
Decide what to address first
Clear Findings Your Team Can Act On
Instead of reviewing large volumes of system data, your team gets a focused list of issues that actually matter.
This helps facilities, energy, and operations teams align on what needs attention first.
Prioritized issue summary
Plain-English explanations
Estimated operational impact where available
Supporting data evidence
Recommended next steps
Walkthrough call
What This Means for Your Campus
Reduced energy waste
Improved comfort consistency
Better use of facilities resources
Fewer unexpected system issues
Built for Complex, Real-World Systems
Developed with expertise from Carnegie Mellon
Experience across institutional and campus-scale environments
Designed for teams managing complex systems
See What Your Campus Systems Are Missing
Send the data you already have. We’ll help show which hidden issues are affecting energy use, comfort, and system performance across your campus.
Request a Sample Analysis