Building utility intelligence

Turn utility data into decisions.

Explain cost changes, surface patterns worth checking, forecast what comes next, and give management one clear view of electricity, water, and gas.

Request a complimentary pilot See how it works

Evidence visible Assumptions attached Management-ready

Building intelligence

One view. Three utility systems.

Sample data

Electricity

42,800 kWh

Summer usage rise

Water

1,240 m³

Above own average

Gas

4,800 m³

Heating-season decline

Utility usage indexOwn average = 100

ElectricityWaterGas

Jul 2025–Jun 2026. Compare patterns, not quantities across utilities.

Sample monthly usage and calculated indexes
Month	Electricity kWh	Water m³	Gas m³	Electricity index	Water index	Gas index
Jul 2025	43500	1020	4200	108.9	93.8	46.5
Aug 2025	44800	1015	4150	112.1	93.3	46.0
Sep 2025	40800	990	4900	102.1	91.0	54.3
Oct 2025	37000	1005	7000	92.6	92.4	77.5
Nov 2025	36500	995	10400	91.4	91.5	115.2
Dec 2025	39400	1010	14200	98.6	92.8	157.3
Jan 2026	40800	1080	17000	102.1	99.3	188.3
Feb 2026	39200	1120	15600	98.1	102.9	172.8
Mar 2026	38100	1160	12100	95.4	106.6	134.0
Apr 2026	36600	1200	8100	91.6	110.3	89.7
May 2026	39900	1220	5900	99.9	112.1	65.3
Jun 2026	42800	1240	4800	107.1	114.0	53.2

Decision queueEvidence-ranked

01Verify context

Check the sustained water increase.

Monthly use is above its own average. Check billing periods and occupancy before drawing a conclusion.

Review the source record

02Review

Electricity use rises into summer.

Sources attached Assumptions visible Brief ready

One decision layer forProperty managersBuilding ownersBoardsFacilities teams

From result to reason

A utility bill shows what happened.
Your team needs to know why.

Rates, weather, occupancy, equipment, and building events all change what a number means. Utility AI connects those factors before it presents a finding.

Rates & location

Connect each bill to supported provider, municipal, and time-based pricing context.

Weather & season

Separate heating and cooling pressure from changes that deserve a closer look.

Building reality

Account for occupancy, systems, amenities, renovations, and known operating events.

Three utilities / one system

Different behaviour.
One operating picture.

Electricity, water, and gas need different analytical lenses. The platform keeps those distinctions clear while bringing the decisions together.

Sample data

Electricity

When usage becomes cost.

Review supported rate plans, high-cost periods, peak behaviour, and large building loads.

24-hour demandkW · hourly mean

Peak 126 kW at 17:00. Cost also depends on the rate plan.

Sample hourly electricity demand
Hour beginning	Mean demand kW
00:00	38
01:00	35
02:00	33
03:00	32
04:00	34
05:00	40
06:00	55
07:00	68
08:00	72
09:00	76
10:00	81
11:00	85
12:00	89
13:00	94
14:00	101
15:00	110
16:00	118
17:00	126
18:00	112
19:00	93
20:00	72
21:00	60
22:00	49
23:00	42

Rate and tariff context
Peak-period review

Water

The pattern behind the increase.

Compare consumption with billing periods, occupancy, and persistent overnight use.

Overnight water flowL/min

Dashed: 3 L/min reference. Verify overnight activity.

Possible abnormal-use signals
Occupancy context

Gas & heating

Weather pressure or performance.

Review heating-season changes beside temperature, equipment, and operating events.

Gas & weather contextm³

Dashed: weather estimate. Shaded: comparison band ±10%.

Sample gas weather comparison
Month	Observed gas m³	Heating degree days (example)	Model estimate m³
Jan 2026	17000	625	16700
Feb 2026	15600	565	15500
Mar 2026	12100	385	11900
Apr 2026	8100	200	8200
May 2026	5900	80	5800
Jun 2026	4800	30	4800

Weather-informed review
Next-period forecast

Context engine

Raw records in.
Defensible next steps out.

Utility AI does not treat every spike as a conclusion. It connects the available evidence, identifies what the evidence can support, and separates a useful signal from something that still needs verification.

Explore the platform

Context in

Bills & usage01

Rates & location02

Weather & systems03

Utility AIEvidence engine

Decisions out

Cost drivers

Signals to verify

Ranked next steps

A practical workflow

Start with what you have.
Add depth when it matters.

A pilot can begin with bills and a basic property profile. Better source data improves the depth and confidence of the review.

Describe the building

Location, systems, occupancy, and the operating context already known.

Add the utility record

Start with bills. Add history or interval data when it improves the question.

Connect the context

Align pricing, weather, baselines, data quality, and relevant events.

Review the decision brief

See findings, evidence, confidence, limitations, and ranked next steps.

Utility records Contextual analysis Decision brief

Management-ready output

Not another dashboard to interpret.

Bring the important signals into one concise brief: cost and usage trends, pricing context, weather-informed observations, possible actions, limitations, and confidence.

Executive summaryPriority findings in management language.

Transparent evidenceSources, assumptions, and confidence stay visible.

Ranked next stepsClear items for operations or deeper review.

Utility AI

MANAGEMENT BRIEF / 01

Management brief · Sample data

What deserves attention this month.

North Tower · Toronto · June 2026

Summer useReview schedules

Water trendVerify context

Heating contextCompare weather

Four-month usage indexOwn average = 100

ElectricityWaterGas

Same 12-month averages as the building overview.

EvidenceAssumptionsConfidence

My utility view

Private

Sample data · Unit 1204 · June 2026

Your electricity is near its recent average.

−4%electricity

Below your recent averageJune kWh compared with the previous six months.

Your electricity trendkWh

Jun 403.2 kWh. Dashed: prior 6-month mean 420 kWh.

ElectricityCheck your plan’s lower-cost hours.

WaterPersonal trends need unit-level data.

Seasonal noteCooling can affect summer electricity use.

Only authorized unit data is shown. Building comparisons are aggregated.

Optional resident layer

From building intelligence to personal clarity.

Where authorized unit-level information is available, residents can receive a private view of personal trends, seasonal context, and practical guidance.

Privacy-consciousAuthorized unit data and aggregated comparisons only.

Actionable contextSimple explanations instead of raw meter data.

Explore the resident layer

Complimentary pilot

One building is enough to begin.

No utility documents are needed in the first step. Share the property context and the question your team needs to answer.

Request pilot

Sample overnight flow
Sample time	Flow L/min
00:00	7.6
01:00	7.3
02:00	7.4
03:00	7.1
04:00	7.2
05:00	7.5
06:00	9.2