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Class-A office, mixed-use, campuses

One API for every box on the BMS riser

Every guest WiFi connection is a data point. Across every venue, every hardware vendor, normalized into a single queryable format that your AI agents understand.

The challenges

1

Three BMS vendors. Three integration projects.

Distech on one floor, Schneider on another, Honeywell on the roof. Every analytics workflow becomes a custom integration project that ships in 6 months and breaks every quarter.

2

Occupancy is guessed, not measured

HVAC runs on a schedule from 1998. Empty floors burn energy while occupied floors get hot. Density + camera + WiFi all see occupancy — but none of them talk to the BMS.

3

Energy budgets without telemetry

Quarterly utility bills are the only feedback loop. You can't tune setpoints against real load if you can't correlate setpoint with occupancy with outdoor weather in one query.

How GuestNetworks solves it

BMS-vendor-agnostic ingest

BACnet, Modbus, and cloud APIs from Distech, Schneider, Honeywell, ButterflyMX — all normalized to one canonical event. Write one rule, run it across every vendor.

Occupancy-driven setpoints

Pipe Density, VergeSense, or WiFi presence into your existing HVAC rule engine. Empty floor at 6pm? Setback automatically. Crowded conference room? Pre-cool from the calendar.

Energy + occupancy + weather, one query

Outdoor wind, indoor CO₂, AHU damper position, and floor occupancy — all in the same time-series store. Build dashboards your facilities team will actually use.

ROI Calculator

A 200,000 sqft Class-A office with ~3,000 daily occupants spends roughly $9/sqft/yr on HVAC. Occupancy-driven setpoints typically recover 15–25% of that spend. At 20% on 200K sqft that is $360K in direct energy savings annually. Add avoided demand charges, deferred equipment replacement, and tenant satisfaction premiums and total annual uplift reaches $1.5–2.4M — industry average modeled at $1.8M. Payback on sensor + connector setup is typically under one quarter.

Daily Traffic
3,000/day
Capture Rate
20%
Annual Impact
$1.8M
in trackable, attributable revenue

Key metrics you will track

After-hours energy waste
12%
Floors heated/cooled while unoccupied — caught at 5-minute resolution
Setpoint-to-occupancy lag
< 2 min
From the moment a floor empties to BMS setback
CO₂ exceedance events
↓ 64%
After CO₂-driven ventilation rules went live
Damper failures detected
14/yr
Drift detected from telemetry, not from tenant complaints
Floors monitored
12 / 12
Even the 1998 Trane controllers on floor 9
Energy ROI
4.3 mo
Payback period including connector setup

Popular connectors for smart buildings

Distech
Distech
Schneider
Schneider
Honeywell
Honeywell
Density
Density
Awair
Awair
VergeSense
VergeSense
Case Study

A Class-A office cut HVAC energy 20% with occupancy-driven setpoints

200,000 sqft, 12 floors, 3,000 daily occupants

Connected Distech BACnet, Density, and rooftop weather into a single dashboard. Three rules — occupancy-driven setback, CO₂-driven OA reset, and weather-driven economizer — recovered 20% of HVAC kWh in the first quarter.

We were running three dashboards and reconciling them in a spreadsheet. Now the BMS reacts to occupancy before facilities even gets the alert.

Stop integrating one BMS at a time

One connector setup, one canonical schema, every floor of every building. Start with a single floor on the free tier.