AI & Automation

AI & Automation

AI & Automation

It sees what is coming.

Then it acts.

Sites change by the hour. Weather, occupancy, prices, and load all move together. Smarkia forecasts what is coming, tunes setpoints continuously to cut consumption and shave demand charges, and runs your equipment easier so it lasts longer. No dashboard to watch. No schedule to maintain. The platform does the work, not just the reporting.

Load forecastAhead
ActualForecastkW · 24h
00h08h16h24h
Tuned every minute24/7 tuning

What's at stake

Recommendations are

not results.

Fixed setpoints and weekly tweaks will not catch what changes by the minute. Neither will a dashboard full of alerts nobody has time to work through.

What's at stake

Recommendations are

not results.

Fixed setpoints and weekly tweaks will not catch what changes by the minute. Neither will a dashboard full of alerts nobody has time to work through.

Tuned once, drifting ever since

A site commissioned perfectly drifts within months. Nobody has time to retune it every week.

Tuned once, drifting ever since

A site commissioned perfectly drifts within months. Nobody has time to retune it every week.

Tuned once, drifting ever since

A site commissioned perfectly drifts within months. Nobody has time to retune it every week.

Hidden waste

Heating and cooling at the same time. Outside air locked out when the weather would do the job for free.

Hidden waste

Heating and cooling at the same time. Outside air locked out when the weather would do the job for free.

Hidden waste

Heating and cooling at the same time. Outside air locked out when the weather would do the job for free.

Peaks you pay for

Demand charges are set by your worst fifteen minutes. Miss the forecast and you pay for it all month.

Peaks you pay for

Demand charges are set by your worst fifteen minutes. Miss the forecast and you pay for it all month.

Peaks you pay for

Demand charges are set by your worst fifteen minutes. Miss the forecast and you pay for it all month.

How it works

Forecast, act, learn.

The model gets better every day it runs on your site, and it does the work itself.

How it works

Forecast, act, learn.

The model gets better every day it runs on your site, and it does the work itself.

Forecast

Smarkia predicts load, weather, occupancy, and prices, hours and days ahead. Every setpoint is planned around what is coming, not what already happened.

Background
Forecast

Smarkia predicts load, weather, occupancy, and prices, hours and days ahead. Every setpoint is planned around what is coming, not what already happened.

Background
Act

It sends the setpoints continuously, minute by minute, holding comfort at the lowest energy and the lowest demand. Your team stays in charge; one click hands full control back.

Background
Act

It sends the setpoints continuously, minute by minute, holding comfort at the lowest energy and the lowest demand. Your team stays in charge; one click hands full control back.

Background
Hold

Savings hold instead of fading. The tune renews itself as your site changes, so the retro-commissioning engagement never has to repeat.

Background
Hold

Savings hold instead of fading. The tune renews itself as your site changes, so the retro-commissioning engagement never has to repeat.

Background

Proof

Automation that

compounds

-40%
heating in 30 days, verified
24/7
continuous tuning
~200%
yearly yield on the software cost

Why Smarkia

Why the AI

earns its keep.

Smarkia Assistant

Your personal energy

assistant

How can I help you today?

Site performance
Open alarms
Build a report
Energy trends

FAQs

Do you have any questions?

Here are the answers.

FAQs

Do you have any questions?

Here are the answers.

FAQs

Do you have any questions?

Here are the answers.

What is constant commissioning in Smarkia?

Constant commissioning is Smarkia continuously tuning your building instead of setting it once and walking away. It forecasts what is coming and adjusts setpoints in real time so the site stays optimized as conditions change.

How does Smarkia decide what to change?

Smarkia forecasts weather, occupancy, energy prices, and load together, then tunes setpoints continuously to stay ahead of them. It acts on what is about to happen rather than reacting after the fact.

Why are fixed setpoints and weekly tweaks not enough?

Sites change by the hour, and fixed setpoints or weekly adjustments cannot keep up with load, weather, and prices that move by the minute. Smarkia adapts continuously so the building is not left running on stale settings.

How is this different from a dashboard full of recommendations?

Recommendations are not results. A dashboard hands your team a backlog of alerts nobody has time to work, while Smarkia applies the changes automatically and proves the outcome in measured savings.

Does continuous tuning affect comfort or operations?

No. Smarkia optimizes within the comfort and operating limits you set, so occupants and processes are unaffected while energy use drops. It saves energy without anyone noticing a change in conditions.

Does Smarkia keep saving over time, or just at the start?

It keeps saving. Because Smarkia re-tunes continuously, performance does not drift back after the first fix the way a one-off retrofit does. The building is re-commissioned every day.

Are the savings from constant commissioning measured?

Yes. Smarkia measures the result against a baseline using recognized verification methods, so continuous tuning shows up as verified, auditable savings rather than a promise.

Explore

Go deeper into

the platform.

Connectivity, cybersecurity, compliance, and AI. Everything Smarkia does runs from the same place, on top of the systems you already have.

Explore

Go deeper into

the platform.

Connectivity, cybersecurity, compliance, and AI. Everything Smarkia does runs from the same place, on top of the systems you already have.

Explore

Go deeper into

the platform.

Connectivity, cybersecurity, compliance, and AI. Everything Smarkia does runs from the same place, on top of the systems you already have.

Stop tuning by hand. Let the model forecast, act, and prove the savings.

Stop tuning by hand. Let the model forecast, act, and prove the savings.

Stop tuning by hand. Let the model forecast, act, and prove the savings.