AI HVAC Management That Acts - Not Just Alerts

Monaire monitors every location, learns how each building behaves, and helps facilities teams optimize HVAC/R performance automatically within approved operating limits.

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Continuous monitoring

AI anomaly detection

Actionable alerts

Predictive issue detected

RTU-2

Store 101

Equipment health

62%

Degrading

Risk of failure

High

In the next 7 days

Impact

High

Potential downtime & repair costs

High likelihood of failure in the next 7 days

Compressor overload

Recommended next step

Inspect refrigerant levels and airflow

issue summary

Abnormal runtime

+38%

Temperature response

Slower than normal

The problem with most smart HVAC tools

Alerting tools tell you something happened. Monaire is designed to identify what changed, why it matters, and what action should happen next.

Too many alerts

Alerting tools do not learn

Manual reviews break down at the portfolio level energy costs

Too many alerts

Alerting tools do not learn

Manual reviews break down at the portfolio level energy costs

Too many alerts

Raw alarms still force facility managers to diagnose, prioritize, and chase resolution.

Alerting tools do not learn

Fixed rules mean tools assume buildings behave the same every day.

Manual reviews break down at the portfolio level

One facilities team cannot inspect every location and every unit every day.

AI that learns, prioritizes, and acts

Monaire combines equipment data, site context, and portfolio patterns to catch anomalies earlier, optimize HVAC/R operation, and surface the issues that need attention first.

1

Continuous monitoring

Tracks equipment and building behavior continuously so teams are not waiting for complaints or failed units.

System efficiency

78%

+12 vs last 30 days

2

Strong starting baseline

Starts with learnings from similar equipment patterns, then improves with site, schedule, and real-time data.

High Confidence

Baseline establised

1,248

Similar sites Analyzed

3

Anomaly detection

Unusual runtime, temperature response, or performance loss becomes a prioritized issue.

RTU - 3

Cooling efficiency drop

High priority

4

Autonomous optimization

Adjusts HVAC operation inside approved bounds to reduce waste while preserving comfort requirements.

Setpoints

Optimized

Fan Mode

Optimized

Schedule

Adjusted

5

Portfolio learning

Patterns across similar locations help teams find systemic problems faster than site-by- site manual review.

AI vs. traditional systems

See how Monaire learns from equipment behavior, prioritizes action, and reduces manual work compared with rule-based BMS platforms and scheduled thermostats.

Learning

Response

Predictive maintenance

Portfolio view

Operator workload

Monaire

Learns site and equipment behavior

Prioritized action and optimization

Core capability

Built for multi-site operations

Reduces manual review

Traditional Approach

No meaningful learning

Alerts

Often building-centric

Requires skilled review

Scheduled Thermostat

No meaningful learning

Limited

Requires manual schedule management

Learning

Traditional Approach

No meaningful learning

Scheduled Thermostat

No meaningful learning

Monaire

Learns site and equipment behavior

Response

Predictive maintenance

Portfolio view

Operator workload

Controls and safety

Autonomy only works when facilities teams trust it.

Bounds

AI actions stay inside customer-defined comfort and equipment limits.

9:41

Schedule name

Set as active now

Doing this will override previous schedule settings

MON

TUE

WED

THU

FRI

SAT

SUN

WAKE

(default)

cooling to

72°F

heating to

85°F

Priority:

9:00 AM

Fan on

HOME

(default)

cooling to

72°F

heating to

85°F

Priority:

10:00 PM

Fan on

SLEEP

(default)

cooling to

72°F

heating to

85°F

Priority:

9:00 AM

Fan on

AWAY

(default)

Inactive

Priority:

00:00 AM

Fan on

Add period

Delete Lighting schedule

Logs

Every action shows reason, timestamp, affected asset, and result.

Activity log

View all

01/04/26

John

changed temperature set point from

74°F

72°F

2 min ago

01/03/26

Jessica

snoozed alerts from

1 PM

3 PM

Snooze reason

This equipment is

undergoing repairs.

10:30 pm

MonAI (2)

9:00 PM–10:10 PM

MonAI

changed temperature set

point from

74°F

72°F

10:10 pm

MonAI

changed temperature set

point from

78°F

74°F

9:00 pm

01/03/26

Kevin

snoozed alerts from

2 PM

3 PM

Snooze reason

This equipment is

undergoing repairs.

12:00 pm

01/03/26

Sean

snoozed alerts from

10 PM

11 PM

Snooze reason

This equipment is

undergoing repairs.

9:30 pm

Sean

snoozed alerts from

10 PM

12 PM

Snooze reason

This equipment is

undergoing repairs.

9:00 pm

Overrides

Facilities teams can override or disable automation when needed.

Unit is cooling

72°F

Indoor temperature

Humidity:

50%

Feels like:

70°F

Cooling setpoint: 72°F

72°F

Indoor temperature

Humidity:

50%

Feels like:

70°F

Cooling setpoint: 72°F

Heat to

68°F

Cool to

72°F

System mode

Fan Mode

Following schedule

Allow overrides on the thermostat display

Configure thermostat limits

Edit

Max heating set point

68°F

Min Cooling set point

72°F

Maximum temporary hold duration

2 hrs

Ramp-up mode

Customers can start with recommendations before enabling automation.

Comfort & safety

Issues

Freeze risk detected

Indoor temperature too cold

Indoor temperature too hot

Feels like temperature too cold

Feels like temperature too hot

Humidity high for too long

Work order

Auto-create

Off

Raise issue only

Auto-create

Priority

Low

High

Low

Sensitivity

Balanced

Fewer work orders

Catch issues earlier

Custom

HVAC performance

Issues

Unit not cooling efficiently

Unit not heating efficiently

Fan issue detected

Long term efficiency loss

Work order

Auto-create

Priority

High

Critical

Low

Sensitivity

Fewer work orders

Balanced

Custom

Maintenance

Issues

Air filter needs changing

Work order

Auto-create

Priority

Low

Sensitivity

Fewer work orders

Connectivity & controls

Issues

Thermostat offline

Thermostat is not sending data

System mode set to OFF

Room sensor offline

Room sensor error

Room sensor battery low

RTU sensor connection issue

RTU sensor not sending data

RTU sensor battery low

Work order

Auto-create

Priority

High

Low

Medium

Low

Medium

High

Low

Sensitivity

Balanced

Escalation rules

Critical alerts follow customer-specific escalation and approval paths.

New Work Order Requests

Receive notifications when

Approval is requested for a work order

Push, Email, SMS

A new work order is assigned

Work order reminders

Choose how often you’d like to receive reminders for each work order priority.

Critical

Every hour

High

Every hour

Medium

Every hour

Low

Every hour

Other

None

Work order updates

Receive notifications when

Proven in the field. Measured across every site.

See how multi-site operators are reducing energy costs, preventing equipment failures, and improving performance with Monaire.

We knew we had issues but couldn’t pinpoint them. Monaire gave us clarity, helped us reduce HVAC waste, and supported better capital planning.

- Jake Lepke, Director of Facilities, Goodwill NCW

Goodwill

Over $6M in annual savings across 350+ Goodwill retail stores.

Read case study

We knew we had issues but couldn’t pinpoint them. Monaire gave us clarity, helped us reduce HVAC waste, and supported better capital planning.

- Jake Lepke, Director of Facilities, Goodwill NCW

Goodwill

Over $6M in annual savings across 350+ Goodwill retail stores.

Read case study

Each of our restaurants has 8–10 refrigeration units plus multiple HVAC. Operating these without any visibility was a nightmare

- Laura Martinez, Director of Operations, Taco Bell

Taco Bell

Franchisee saves $5.5K in energy costs per location annually

Read case study

Each of our restaurants has 8–10 refrigeration units plus multiple HVAC. Operating these without any visibility was a nightmare

- Laura Martinez, Director of Operations, Taco Bell

Taco Bell

Franchisee saves $5.5K in energy costs per location annually

Read case study

With the 14% reduction in energy usage and subsequent cost savings from Monaire, we are able to invest back into scaling the business and improving the customer experience to deliver an excellent fitness experience to more people every day.

- John English, VP of Finance

Edge Fitness

Nationwide fitness operator reduces energy use by 14% while improving member comfort

Read case study

- John English, VP of Finance

Edge Fitness

Nationwide fitness operator reduces energy use by 14% while improving member comfort

Read case study

After Monaire, we’re saving 15–20% on our energy bills and using that to grow our business. It’s very meaningful.

- Principal, Refuel Pantry

Refuel Pantry

C-store operator reduces energy use by 15% while cutting refrigeration downtime

Read case study

After Monaire, we’re saving 15–20% on our energy bills and using that to grow our business. It’s very meaningful.

- Principal, Refuel Pantry

Refuel Pantry

C-store operator reduces energy use by 15% while cutting refrigeration downtime

Read case study

Monaire is able to predict when we’re going to be busy and make it more comfortable for our customers while saving us money. They’ve really taken all of the HVAC work off our plate and do it in a much better, more consistent way."

- Brian Bergen, CEO, Milio's Sandwiches

Milios Sandwiches

Protecting customer comfort while improving efficiency; public customer copy references a 14% energy reduction.

Read case study

- Brian Bergen, CEO, Milio's Sandwiches

Milios Sandwiches

Protecting customer comfort while improving efficiency; public customer copy references a 14% energy reduction.

Read case study

Frequently asked questions

How long does Monaire AI take to learn a site?

Can AI actions happen without approval?

What happens if an AI recommendation is wrong?

Is Monaire just rules-based automation?

Does Monaire AI create more alerts?

Can Monaire explain why a work order was issued or prioritized?

Still have questions?

Can’t find what you are looking for? Reach out to our team

Talk to us

Keep exploring Monaire

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RTU-2

Store 101

High priority

Cooling Performance Declining

17% below normal

Recommended next step

Inspect refrigerant levels and airflow

Approve Work Order

Prevent avoidable repairs

Surface abnormal equipment behavior early and avoid emergency repair costs.

Predictive maintenance

RTU-2

Store 101

High priority

Cooling Performance Declining

17% below normal

Recommended next step

Inspect refrigerant levels and airflow

Approve Work Order

Prevent avoidable repairs

Surface abnormal equipment behavior early and avoid emergency repair costs.

Predictive maintenance

See AI HVAC management connected to real equipment data, constraints, and portfolio operations.ergy management, equipment maintenance, and capital planning into a data-driven advantage.

Calculate Savings

Get a Demo

See AI HVAC management connected to real equipment data, constraints, and portfolio operations.ergy management, equipment maintenance, and capital planning into a data-driven advantage.

Calculate Savings

Get a Demo

See AI HVAC management connected to real equipment data, constraints, and portfolio operations.ergy management, equipment maintenance, and capital planning into a data-driven advantage.

Calculate Savings

Get a Demo

See AI HVAC management connected to real equipment data, constraints, and portfolio operations.ergy management, equipment maintenance, and capital planning into a data-driven advantage.

Calculate Savings

Get a Demo

AI- powered HVAC and refrigeration management that reduces energy waste, prevents downtime, and extends equipment life across every location.

339-666-2473

support@monaire.ai

444 Somerville Ave, Somerville, Massachusetts 02143

Find us on

Secure, Verifiable, and

Portfolio-Transforming AI.

Built for multi-site operators. Trusted with mission-critical HVAC/R data. Proven by industry standards.

ISO 27001

Your data is encrypted in transit and at rest

Monaire is SOC 2 and ISO 27001 certified

AI- powered HVAC and refrigeration management that reduces energy waste, prevents downtime, and extends equipment life across every location.

339-666-2473

support@monaire.ai

444 Somerville Ave, Somerville, Massachusetts 02143

Find us on

Secure, Verifiable, and Portfolio-Transforming AI.

Built for multi-site operators. Trusted with mission-critical HVAC/R data. Proven by industry standards.

ISO 27001

Your data is encrypted in transit and at rest

Monaire is SOC 2 and ISO 27001 certified

AI- powered HVAC and refrigeration management that reduces energy waste, prevents downtime, and extends equipment life across every location.

339-666-2473

support@monaire.ai

444 Somerville Ave, Somerville, Massachusetts 02143

Find us on

Secure, Verifiable, and

Portfolio-Transforming AI.

Built for multi-site operators. Trusted with mission-critical HVAC/R data. Proven by industry standards.

ISO 27001

Your data is encrypted in transit and at rest

Monaire is SOC 2 and ISO 27001 certified

AI- powered HVAC and refrigeration management that reduces energy waste, prevents downtime, and extends equipment life across every location.

339-666-2473

support@monaire.ai

444 Somerville Ave, Somerville, Massachusetts 02143

Find us on

Secure, Verifiable, and

Portfolio-Transforming AI.

Built for multi-site operators. Trusted with mission-critical HVAC/R data. Proven by industry standards.

ISO 27001

Your data is encrypted in transit and at rest

Monaire is SOC 2 and ISO 27001 certified