Facilities teams, mechanical contractors, and light industrial operators juggle chillers, rooftops, boilers, and process equipment across sites. DynFleet builds a living model of each asset—telemetry and BMS points, service records, warranties, and context—so our intelligence engine reflects real device state and weekly priorities you can schedule.
A digital twin here is not a Hollywood 3D render. It is an always-updating picture of how a specific machine is behaving compared with its own past and its peers—fed by proactive monitoring and the records you already keep.
Equipment class, install context, runtime patterns, fault and alarm history, maintenance and warranty coverage, and the signals you choose to feed in—from BACnet and IoT to manual rounds.
Device state and ranked attention lists in language dispatchers and tech leads understand—not raw trend dumps. We do not publish proprietary model architecture or scoring on the public web.
Tag assets in DynFleet the way your team already talks about them—building, system, and unit ID.
Centrifugal and screw chillers, cooling towers, and plant loops.
RTUs, split systems, and multi-zone commercial units.
AHUs, MAUs, exhaust, and filtration-critical spaces.
Steam and hot-water systems, season startup risk.
Walk-ins, compressors, and light industrial process loads.
Pump rooms, VFDs, and supporting skids that take down the primary.
Occupants feel pain first; finance sees it second. These are the outages SMB facilities and HVAC contractors keep eating when nothing connects live data to service history until the emergency rate kicks in.
Chiller · commercial site
Approach temps crept for weeks; alarms were “within spec.” By afternoon you are shedding load and explaining to tenants why today was unpredictable.
Could have surfaced: Drift vs. last season and sister machines—pull and service before the forecast spike.
RTU · multi-building
Identical units, different ages. The failure is never random—you just did not know which ID was next until classrooms or clinics complained.
Could have surfaced: Fleet-ranked RTUs by runtime and prior compressor work—contractor truck roll planned, not reactive.
Boiler · seasonal
Startup after summer idle; ignition or low-water issues show up at once. Emergency labor rates match the temperature drop.
Could have surfaced: Seasonal startup checklist tied to last year’s faults—commission before heating degree-days stack.
Refrigeration · food & beverage
Product loss, QA hold, and regulator questions—all because a compressor issue looked like “overnight recovery” until it wasn’t.
Could have surfaced: Pull-down time trend and oil service history—repair window before inventory is on the line.
AHU · healthcare / clean spaces
Belt wear and filter neglect show up as compliance risk, not just comfort. Remediation happens during staffed hours you did not plan to burn.
Could have surfaced: Static pressure and motor load drift—PM aligned to usage, not calendar guesswork.
Contractor · route density
PM contracts spread techs thin. The site that fails is rarely the one on today’s list—because risk lived in spreadsheets, not a twin-backed priority queue.
Could have surfaced: Cross-customer ranking by modeled state—dispatch matches pain about to happen, not only tickets already open.
Pair with maintenance service contract monitoring when coverage and device state should stay in one view.
Pilot discussions cover which points, historians, and CMMS exports you already have. We focus on outcomes; connector details stay in implementation, not marketing fluff.
Tell us your sites, asset count, and whether you are an owner-operator or service contractor.
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