BUILDING INTELLIGENCE, FROM KYOTO

Understand your buildings. Act earlier.

Sensor data, sophisticated machine learning and the AI-powered KyoSensa Insight Engine work together to learn how each building behaves. When conditions begin to differ from what is expected, KyoSensa helps teams identify unusual change earlier and focus investigation where it matters.

BUILT FOR

  • Owners
  • Managers
  • Maintenance Teams
KyoSensa pilot machiya in Kamigyō, Kyoto
Built in Kyoto. Monitoring Japan.Our pilot machiya / Kamigyō, Kyoto
01 / BETWEEN INSPECTIONS

An inspection is a snapshot.
KyoSensa provides the timeline.

Inspections remain essential. They show the condition of a building on the day someone visits. What happens between visits, through a wet season, after a storm or behind a finished surface, is where hidden moisture develops.

Continuous monitoring fills that gap. It supports condition-based maintenance, so attention goes where conditions call for it and each inspection starts from a history rather than a guess. KyoSensa does not replace inspection. It strengthens the evidence behind it and helps identify emerging problems before they develop into costly damage.

How managed monitoring works
02 / THE BUILDING FINGERPRINT

Every building has
its own fingerprint.

Learned from the building itself.

Two buildings can face the same rain, humidity and temperature and respond very differently. Building Fingerprint is KyoSensa’s record of how an individual building normally behaves: its usual moisture levels, how it responds to the weather, how it recovers and how its monitored areas relate to one another. It sits at the centre of the KyoSensa Insight Engine.

Thresholds identify important changes. The Building Fingerprint adds context, helping KyoSensa understand whether behaviour differs from what is expected for that building.

Early warning, without constant alarms.

KyoSensa monitors continuously, but only brings something to your attention when the evidence says it matters. A single unusual reading is rarely enough on its own. KyoSensa considers whether the change persists, what is happening elsewhere in the building, the surrounding conditions and how the building is recovering.

How Building Fingerprint works

A Building Fingerprint that keeps learning.

Once a building’s Fingerprint is established, new readings are also compared with what KyoSensa has learned about it, alongside the monitored thresholds. The Insight Engine predicts how the building should respond, then validates those expectations against what actually happens. Where conditions fall outside what the Fingerprint has learned, KyoSensa says so rather than guessing, and the thresholds still apply. Recovery Modelling follows how areas dry after rain, while each validated or rejected prediction becomes new evidence. As conditions change and more data accumulates, the Building Fingerprint is re-evaluated and refined, improving the precision of KyoSensa's understanding over time.

How the KyoSensa Insight Engine works
BuildingFingerprintRe-evaluated ContinuouslyKYOSENSA INSIGHT ENGINEUnderstanding that grows with your building.
BuildingFingerprintRe-evaluated ContinuouslyKYOSENSA INSIGHT ENGINEUnderstanding that grows with your building.
03 / EVIDENCE FROM OUR KYOTO PILOT

Hidden from view.
Clear in the measurements.

At our pilot machiya in Kyoto, monitoring showed elevated moisture in concealed subfloor timber while the kitchen directly above read normally. A visual inspection would not have revealed it. The measurements gave investigation a clear, located starting point, and because KyoSensa keeps measuring the area, the effect of any maintenance shows in the readings rather than being assumed.

Read the pilot study
Wood moisture content% WMC
Concealed subfloor23–24%

Alert at detection

These readings gave investigation a clear starting point.

Kitchen directly above13–14%

Within normal parameters

The kitchen stayed within normal parameters throughout this period, while the subfloor beneath it read high.

0%10%20%30%

Pilot readings · 3 July–9 August 2026. Ranges describe this example; they are not universal safety thresholds.

  1. Measured

    Subfloor timber held around 23–24% WMC while the kitchen directly above stayed around 13–14%.

    Sensor measurement
  2. Concern identified

    The difference was sustained and concentrated in the concealed subfloor, a space routine visual checks do not cover.

    KyoSensa analysis
  3. Investigation focused

    The evidence narrowed the investigation to the subfloor, the area where the readings stood apart.

    Human investigation
  4. Monitoring continues

    KyoSensa keeps measuring the area, so later changes, and the effect of any maintenance, show in the readings.

    Sensor measurement
04 / KNOW WHERE TO LOOK

One area,
or the whole building?

KyoSensa reads each monitoring point alongside the structure and area it belongs to. When one area changes while its neighbours stay steady, a local cause is more likely. When every area moves together, a shared cause such as the weather is more likely.

That distinction helps narrow the investigation, so an inspection can begin where the evidence points rather than across the whole building.

05 / RECOVERY AND REPAIR

Repairs should be verified,
not assumed.

A rise in moisture after heavy rain is not necessarily a problem. What matters is what happens next: whether the building returns toward its usual level, how long that takes and whether the recovery looks like earlier ones.

The same evidence matters after a repair. KyoSensa provides evidence about whether the building is recovering as expected after the repair. It does not certify the workmanship; it shows whether the conditions that prompted the work are settling, and it keeps watching afterwards.

DETECTINVESTIGATEREPAIRVERIFYKEEP WATCHING

EXPECTED RECOVERY

The building returns toward normal.

EventMoisture responseReturn toward normal
CHANGED RECOVERY

The recovery is prolonged or unusual.

EventMoisture responseProlonged or unusual recovery
06 / WEATHER AND EARTHQUAKES

Buildings face events,
not averages.

Japan Meteorological Agency data shows that one-hour rainfall events of 50 mm or more occurred about 1.5 times as often in 2016–2025 as they did in 1976–1985.

Yearly occurrences of one-hour rainfall of 50 mm or more, per 1,300 AMeDAS stations. Source: Japan Meteorological Agency / Observed extreme-rainfall data, 1976–2025 ↗
One-hour rainfall of 50 mm or more: yearly occurrences per 1,300 AMeDAS stations
YearOccurrences
1976286
1977220
1978189
1979293
1980203
1981182
1982299
1983241
1984143
1985204
1986134
1987245
1988326
1989247
1990383
1991203
1992146
1993333
1994171
1995206
1996123
1997230
1998430
1999357
2000318
2001268
2002225
2003236
2004463
2005252
2006309
2007252
2008330
2009220
2010272
2011358
2012367
2013308
2014309
2015269
2016334
2017327
2018350
2019377
2020345
2021279
2022382
2023326
2024346
2025331

Intense rain and typhoon winds test roofs, facades, joints, flashings and drainage, and ageing materials are often the first to give way. KyoSensa cannot stop severe weather. It can help stop hidden moisture problems from remaining hidden.

Earthquakes test a building differently. The shaking stops. Hidden problems may appear later, often with the next heavy rain. After significant shaking, KyoSensa keeps the building under closer watch and compares its response to later rain with its established behaviour. It does not diagnose damage; it shows where a focused inspection is worthwhile.

Explore post-seismic monitoring
THE COST OF WAITING

A small leak.
A much bigger bill.

Hidden water ingress can turn a targeted repair into extensive reconstruction. The earlier it is found, the smaller the repair is likely to be.

KyoSensa looks for moisture behaviour that is unusual for the individual building, including unexpected rises and recovery that takes longer than established patterns would suggest. By combining continuous timber-moisture measurements with environmental context and building-specific behaviour, KyoSensa can identify changes that may warrant investigation before visible damage develops.

TECTOR’S PUBLISHED REPAIR-COST EXAMPLE

How the cost can escalate

Schematic, not to scale
Early interventionDamage left unchecked
Early repair contains costs while unchecked damage can become more expensiveIllustrative comparison, not to scale. The early-intervention bars taper after early repair; the bars for damage left unchecked rise as damage continues. The four published repair-cost examples are listed below.Remaining repair exposureFind it. Fix it early.Avoid the escalating billWater ingress beginsDamage continues over time →Early repair contains costs while unchecked damage can become more expensiveIllustrative comparison, not to scale. The early-intervention bars taper after early repair; the bars for damage left unchecked rise as damage continues. The four published repair-cost examples are listed below.Remaining repair exposureFind it. Fix it early.Avoid the escalating billWater ingress beginsDamage continues over time →
Day 1≈ ¥18,000

Seal the entry point

Week 1≈ ¥180,000

Open and dry the roof; replace the membrane

Month 1≈ ¥1.8–9 million

Dry the building assembly; replace insulation and affected structure

Month 6≈ ¥36–90 million

Rebuild the roof, relocate occupants and address mould

Bars illustrate remaining repair exposure after early action versus unchecked damage, not cumulative spending or measured costs over time. Yen examples below the chart: Tector’s published moisture-damage repair scenario, converted at €1 = ¥179.09 (ECB, 10 September 2026), with displayed amounts rounded. Actual costs and timing depend on the building and damage; these figures are not KyoSensa prices or guaranteed savings. View Tector’s example ↗ · Exchange-rate source ↗
TRIED & TRUSTED SENSOR TECHNOLOGY

Tector sensing.
KyoSensa intelligence.

Tector provides the wireless sensors that measure timber moisture, temperature and humidity, technology used on demanding construction and heritage projects. KyoSensa adds the intelligence: Building Fingerprint, environmental and spatial context, recovery analysis, forecasting research, workflow and human review.

Explore Tector sensor technology
TECTOR CASE STUDY

Notre-Dame, Paris

Tector describes moisture monitoring of timber during restoration, supporting careful management of a material central to the cathedral’s future.

Read the Tector case study
TECTOR CASE STUDY

Copenhagen City Hall

Rambøll used moisture data to inform heating and dehumidification during renovation, helping the team manage drying and the project schedule.

Read the Tector case study
TECTOR CASE STUDY

Northgate House, Oxford

Tector reports that monitoring revealed a further leak thought to have been repaired, allowing the project team to respond before it went unnoticed.

Read the Tector case study

These are Tector’s published projects. They demonstrate applications of the sensor technology; outcomes are specific to each project. More Tector examples ↗

HOW THE BUILDING BECOMES INTELLIGENCE

From every sensor
to one Building Fingerprint.

Tector sensors at the places that matter send their readings through a gateway. KyoSensa brings them together in the Building Fingerprint, so each point is understood in the context of the whole building.

GatewayKYOSENSA INSIGHT ENGINEBuildingFingerprintSubfloorWall cavityHallwayPlant & HVACRoof spaceUpper room
BuildingFingerprint

Where the sensors sit

  • Subfloor
  • Wall cavity
  • Hallway
  • Plant & HVAC
  • Roof space
  • Upper room
BUILT AROUND YOUR BUILDINGS

From irreplaceable heritage.
To the places we rely on.

Different buildings face different risks. Each needs evidence before decisions are made.

01

Heritage & preservation

Kyomachiya, temples, shrines, kominka and historic timber. Find concealed moisture while disturbing as little original fabric as possible.

Explore heritage monitoring
02

Commercial & managed property

Offices, high-rise buildings, warehouses and flat roofs, with evidence behind every maintenance decision.

Explore commercial monitoring
03

Critical facilities & infrastructure

Data centres, transport assets and other demanding environments. Discuss monitoring suitability, placement and coverage for your application.

Explore infrastructure
FOR PARTNERS

Your customers.
Your brand.
Our intelligence.

Offer building intelligence under your own brand. KyoSensa provides the technology behind it, and the customer relationship stays yours.

Give your team more than alerts. See which buildings need attention first, why a change matters, where to inspect and how recovery is progressing.

Discuss a partnership
Your company
BUILDING INTELLIGENCE
A clearer view.
A service that is yours.
Powered by KyoSensa

Illustrative partner branding

  • Organisations, buildings and customer access
  • Partner-branded customer experiences
  • Building reports in English and Japanese

Understand the building.
Respect the people inside.

No cameras. No microphones. No occupant surveillance. Discreet sensors measure the building, and people review the findings that lead to decisions.

Explore the technology
LET’S TALK ABOUT YOUR BUILDINGS

Make the next decision
with a clearer picture.

Talk to KyoSensa

Looking after your own building?
Explore managed monitoring