Real Estate · MaintenancePredictive Building Maintenance Software
Maintenance software that moves buildings from fixing what broke to fixing what is about to — HVAC, lifts and plant monitored, faults caught early, and work orders raised before tenants notice.
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TRUSTED BY TEAMS
Most buildings are maintained in one of two ways: something is fixed after it breaks, usually after a tenant reports it, or it is serviced on a calendar whether it needs it or not.
Predictive maintenance for buildings works from condition instead. Sodio builds building maintenance software for property managers and owners that combines work orders, asset records and planned servicing with continuous monitoring of HVAC, lifts and plant — so faults are caught and repaired before they become breakdowns.
/// IS IT WORTH BUILDING YET?
When Predictive Maintenance Pays Off
Prediction needs data and a reason to act on it. For some buildings a good preventive schedule is the better investment.
/// WHAT IT COVERS
What Building Maintenance Software Covers
Work orders
Asset register
Preventive schedules
Condition monitoring
Fault detection and diagnostics
Failure prediction
Lift monitoring
HVAC monitoring
Tenant request triage
Maintenance reporting
/// FROM READING TO REPAIR
From the First Warning to a Confirmed Fix
Equipment is running normally
Readings collected from the building systems and sensors
Something starts to drift
A fault pattern or early warning is flagged
The cause is narrowed down
The likely fault identified, with the data behind it
The repair is scheduled
A work order raised and timed to avoid disrupting tenants
The contractor attends
Work recorded with photos, parts and time taken
The fix is confirmed
Readings checked to confirm the fault has cleared; history updated
/// WHAT WE MONITOR
What We Monitor, and the Early Signs of Trouble
///FAULT DETECTION FIRST
Fault Detection and Diagnostics, Then Prediction
A great deal of value arrives before any machine learning. Fault detection and diagnostics applies known rules to building data and catches common, wasteful faults on the first day. Prediction adds more once enough history has built up.
Fault detection
Known problems caught straight away — heating and cooling fighting each other, dampers stuck open, equipment running through the night for an empty building.
Failure prediction
Once history builds, models learn how each type of equipment behaves before it fails, and raise a job while there is still time to plan the repair.
Request triage
Tenant requests with photos read and sorted by trade and urgency before anyone opens them, and routed to the right contractor.
Known problems caught straight away — heating and cooling fighting each other, dampers stuck open, equipment running through the night for an empty building.
Learn MoreOnce history builds, models learn how each type of equipment behaves before it fails, and raise a job while there is still time to plan the repair.
Learn MoreTenant requests with photos read and sorted by trade and urgency before anyone opens them, and routed to the right contractor.
Learn More/// COMPARE
Reactive, Preventive or Predictive Maintenance
/// COST AND TIMELINE
What Drives the Cost and Timeline
A pilot on one building, using its existing data, typically runs within 30 days, with fault detection working from the start. A production system across the portfolio follows within 90.
The cost moves with six things: how many buildings and how much equipment are covered; how the building systems are connected; whether sensors need to be added; access to lift data, which often depends on the lift manufacturer; whether it replaces an existing maintenance system or works alongside one; and how deep the analytics go.
/// FAQ
Frequently Asked Questions
It is maintaining building equipment according to its condition rather than a calendar or a breakdown. Instead of servicing a chiller every six months regardless, or waiting for tenants to complain it has stopped, the system watches the data coming from it and raises a job when the readings show it starting to degrade.
Often not, at least to start. Many commercial buildings already have a building management system recording far more than anyone looks at. Older and residential buildings may need sensors added, and it is usually worth doing only on critical, expensive equipment rather than everything.
Usually, through standard building protocols such as BACnet and Modbus or the manufacturer's own interface. We read from the building systems by default. Changing how equipment runs is a separate decision with its own safety checks, and it is never switched on without your engineers agreeing to it.
Lift data is often held by the lift manufacturer under the service contract, so access has to be agreed with them. Where it cannot be, independent sensors can monitor doors, trips and running patterns. Either way, lift problems are among the most visible failures a building has, which makes them a good place to start.
No. It gives your contractor better information — what failed, when, and what the data showed beforehand — and gives you evidence of how well the contract is being delivered. Many owners find it changes the conversation about service levels.
Against how the building runs today. Before anything is built, we agree the baseline — reactive call-outs, downtime, tenant complaints, energy use and repair cost per asset — and the pilot is judged against it.
/// RELATED SERVICES
Related Industries and Services
Routes where scope overlaps with real estate software.
/// GET STARTED
Start With the Equipment That Fails Most
Tell us which equipment causes the most call-outs and complaints, and whether your buildings have a building management system. We will assess, free, what your existing data can already tell you — and what it would take to act on it.