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Luotea Smartti

Energy efficiency you can manage.

Smartti optimises your property's energy use around the clock on top of your existing automation — and keeps indoor conditions inside the agreed limits. The same data tells you what to address next.

Energy saving is the core. The promise goes much further.

Energy optimisation is where everything starts — but it is not where the service ends. Smartti measures the property continuously, keeps conditions inside the agreed limits, says what is out of line, and carries the finding all the way to a work order.
 
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On top of your existing automation

Smartti is a software layer that uses the building services and metering already in the property. No equipment swaps, no downtime.

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Conditions are a constraint

Every property gets a target temperature and an allowed tolerance. Savings come from the precision of the control, not from it being cooler indoors.

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One dataset for the whole chain

Owner, property management and maintenance look at the same data from their own role. No separate reporting work is needed.

An impact deeper than the surface

Four steps, each building on the one before. Nothing is replaced: energy optimisation keeps running even once the property has told you what to fix next.

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Energy

Energy optimised around the clock.

  • District heating, district cooling and electricity are measured separately, as quantities of their own — not as one lump.
  • Heating consumption is weather-normalised, so a mild winter does not look like a saving nor a cold one like a failure.
  • Water consumption is measured too. It is monitored; the control itself acts on heating, ventilation and cooling.
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Indoor conditions

Savings you cannot feel indoors.

  • Each property is given a target temperature and, alongside it, an allowed tolerance — both are values of their own in the service.
  • Indoor carbon dioxide and relative humidity are measured alongside temperature.
  • When the agreed limits are crossed, a recorded conditions deviation is raised — not an estimate after the fact.
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Continuous analysis

The property tells you what to fix next.

  • Every deviation is categorised: a fault, a conditions deviation, an optimisation opportunity or an administrative matter.
  • And given an urgency: immediate, significant or according to agreement — so the work queue orders itself.
  • The service writes the situation summary automatically. Decisions that need context are made by a Luotea specialist, not by an algorithm alone.
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04

Your property's pulse

Your property's data in decisions — and in the field.

  • A deviation moves through its lifecycle all the way to a work order, and its state is visible throughout.
  • The view follows role and level: the whole customer, a group or a campus, a single property, a single device.
  • Official property registry data is attached to the property, and a documented interface moves data both ways.
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Savings you cannot feel indoors

In the service the conditions promise is not a sentence but a setting. Every property is given a target temperature and, alongside it, an allowed tolerance. Control works inside that window, and if it is crossed, a recorded conditions deviation is raised in the service — the same mechanism that handles fault reports.

A target and a tolerance, not just a reading

A measurement says what the temperature is; the target and the allowed tolerance say what it should be. Only the second makes the promise verifiable.

Temperature, carbon dioxide and humidity

Indoor air is measured for carbon dioxide and relative humidity as well as temperature — the three quantities a tenant's experience is actually made of.

A deviation is an event, not an observation

Crossing the limits does not stay a bump on a curve. It gets a category, an urgency and an owner, and it closes only once it has been dealt with.

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Consumption against the property's own baseline

Savings are demonstrated against the property's own baseline period and previous years, not against general assumptions. Heating consumption is weather-normalised, so a mild winter does not look like a saving nor a cold one like a failure. Alongside it the service writes a summary of the portfolio that surfaces what is out of line.

Normalised heating consumption as its own quantity

Weather-corrected consumption is a measured quantity of its own beside the metered one, so the comparison does not rest on after-the-fact arithmetic.

Energy types kept apart

District heating, district cooling and electricity are followed separately. Water consumption is measured too, although it is not controlled.

A written situation summary

The service produces a summary automatically for the whole customer and for a single property — and separately for deviations.

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From an observation to a work order

A report says what happened. A pulse says what is happening now and who is dealing with it. Every deviation travels the same lifecycle in the service — from pending to in progress, to review, to a work order and finally resolved — and is visible throughout at the level the viewer actually works on.

Views by role and by level

The same information for the whole customer, for a group or a campus, for a single property, and inside a property for a building, a device or a system.

Official registry data included

Property data available from the Finnish authorities' registries is attached to the property, so the basics do not live in a separate spreadsheet.

A documented interface, data both ways

Measurement data can also be brought into the service, not only read out of it. Access is restricted with API keys that carry their own permissions and rate limits.

The whole process — from onboarding to continuous optimisation

Smartti builds directly on top of your existing automation: no equipment swaps, no downtime. The benefit grows from one control cycle to the next.

1

Connect the property

We survey the property's building services, metering and data sources and connect Smartti to the property's data.

2

Use the automation you have

Smartti connects to the existing system — Fidelix, Schneider Electric, Siemens, Honeywell or another — with no equipment swaps.

3

Set the targets and the limits

The baseline period is set as the property's starting level, and conditions get a target plus an allowed tolerance.

4

Optimise, analyse, act

Control runs around the clock, deviations surface categorised, and they travel all the way to a work order.

What this leads to

The figures come from Luotea's own customer base: the realised annual savings and the price of getting started are verified, while the savings potential is a per-property upper bound.

The savings potential depends on the property's starting level, its use and its building services. The realised figure is always verified against the property's own baseline period, not against general assumptions.

Up to 35% energy saving potential in a property

Technopolis's Finnish office portfolio

Luotea went through Technopolis's Finnish office portfolio and identified the energy-class C properties where moving up a class was most realistic. In those properties the energy performance certificates were updated to reflect the building's current technology and the measures already carried out.

Over 90% of the identified properties run Luotea Smartti with IoT sensors. The improvements to indoor conditions and energy use had therefore already been made and measured before the certificates were updated — the certificates verified them.

63%

of Technopolis's Finnish office properties moved up to a better energy class. This is an energy-class improvement, not a saving percentage.

79%

of the properties are now in energy class A or B. Before the programme the share was 16%.

over 23%

reduction in temperature-corrected district heating energy while Luotea Smartti has been in use.

over 8%

reduction in property electricity consumption.

Works on top of your existing automation

Smartti is a software layer on top of the building services and metering you already have. Getting started requires no equipment purchases and does not tie the property to a single supplier.

Device- and vendor-independent

Compatible with the most common automation systems — among them Fidelix, Schneider Electric, Siemens and Honeywell.

A documented interface

Data is available through the interface to other systems, and measurement data can also be brought into the service. Access is restricted with API keys that carry their own permissions and rate limits.

Data in the EU

Property data is stored in the EU, and access to the service requires a personal login.

AI and a human specialist

The service writes the situation summary automatically; decisions that need context are made by a Luotea specialist, not by an algorithm alone.

Frequently asked questions about Smartti

Do I need to do new investments?

No. Smartti is designed to make use of your existing building automation systems and available data sources. Additional sensors or data integrations can be introduced later if needed.

How is Smartti different from a reporting tool?

Smartti does more than report on past performance. It continuously optimises building automation and provides a real-time operational view, helping you take action rather than simply analyse historical data.

How is security addressed?

Data is stored within the EU, and access is managed through role-based permissions to ensure that users only have access to information relevant to their role.

Can Smartti be integrated with other systems?

Yes. Open APIs enable integration with a wide range of third-party systems, including reporting, maintenance and other operational platforms.

Can I integrate Smartti data with my own systems?

Yes. From Version 1.0, launching in summer 2026, Smartti will provide open APIs that enable integration with reporting, maintenance and other third-party systems.

What does Smartti optimise in practice?

Smartti works with your existing building automation systems to optimise building performance using real-time data and predictive analytics.

In most properties, optimisation focuses on heating, ventilation and cooling systems, helping to reduce energy consumption while maintaining comfortable indoor conditions.

How quickly can I expect to see results?

That depends on the property, available data and the current level of optimisation. In most cases, value is delivered in phases: first through improved visibility and reporting, then through optimisation and continuous performance improvements.

How to get started?

A typical implementation follows these steps:
Property assessment → data integration → target performance and comfort parameters → optimisation phase → reporting and ongoing service model

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