The Property Graph

The Property Graph — the entire Nordics as a connected graph

Kliva is built on a graph database where every data point is a node with real relationships — not tables that happen to share an ID. That is what lets you connect buyer to seller, company to board, and zoning plans to future deals.

How the data is truly connected. Click a node to center the graph and see its relationships. Click in the empty space to reset.

Access to the graph

Quick Search makes the graph searchable from one field

Same data, fewer steps. Quick Search indexes every entity in the Property Graph — properties, owners, groups, tenants, transactions and municipalities — and matches on designation, name, registration number and address in the same query.

Explore Quick Search

Quick Search

PropertiesOwnersTransactionsMunicipalities

25 results

Sonfjället 1Search property, owner, tenant or registration number

All25Properties2Owners3Tenants0Transactions20Municipalities0

SONFJÄLLET 1PropertyFlerbostadshus
Stockholm · Hjorthagen–Värtahamnen
6 165 m² · Heba Fastighets AB
SONFJÄLLET 1PropertyKontor
Härjedalen · Sveg
620 m² · Taxable Value 1 889 kSEK
STOCKHOLM SONFJÄLLET 2Transaction
2015-06-23 · Skanska Mark och Exploatering → Bostads AB
332 100 000 SEK · 36 454 SEK/m²
Sonfjället Fastigheter ABProperty owner
556845-6601
1 property · Solvency Ratio 41 %

Illustration of Quick Search. Figures are sample data.

Graph database

Real estate data built as a graph

A traditional relational database forces properties, owners, detailed development plans, and transactions into separate tables that must be joined for every query. The more hops — from property to owner to group to other holdings — the slower and more fragile the result.

Kliva is built on a graph database. Every property, company, detailed development plan, and transaction is a Node, and the relationships between them are edges with their own meaning —OWNED BY, SOLD IN, COVERED BY. Traversing multiple hops is a primitive operation, not a query to be optimized.

This is also why the model is the right match for AI. Large language models reason in entities and relations — the same structure as the graph. When an agent queries via our MCP server, it receives nodes and edges rather than table rows it must piece together. The context becomes smaller, answers more traceable, and the risk of hallucinations lower.

Deep queries

Follow an ownership chain all the way to the ultimate parent — the same question you otherwise answer manually in due diligence. Any number of hops, without the query slowing down.

Traceability

Every edge carries a source and a date. A valuation assumption can be traced back to the register it came from — by your team and by an agent.

Built for AI

The graph is served directly to your AI agents via MCP — as entities and relationships, not raw SQL.

Confidence levels

Every node carries its own confidence level

Every data point in Kliva is marked Gold, Silver or Bronze — so you know what is register data and what is modelled before it enters an underwriting model.

GOLD

Gold

Directly from the primary source — registry data, title deed transfers, current zoning plans. Verified and referenced.

Silver

Derived from multiple sources or with a known delay — clearly marked with the underlying data.

BRONZE

Bronze

Modeled or estimated — with stated assumptions, never presented as absolute fact.

Transparent uncertainty is not a weakness. It is what decision-grade data means.

Node index

All nodes in the data model

PROPERTY

The core of the graph. Every property with designation, address, areas, and coordinates.

Source: Lantmäteriet / MML

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GOLD

OWNER

Registered owner with the full ownership chain upward through group structures.

Source: Lantmäteriet, Bolagsverket

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GOLD

GROUP STRUCTURE

See which properties are owned by the subsidiary and which parent group they belong to.

Source: Bolagsverket, PRH

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GOLD

BOARD OF DIRECTORS

Board members and authorized signatories per company — allowing decision-makers to be traced through the entire ownership chain.

Source: Bolagsverket, PRH

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GOLD

TRANSACTION

Registered transactions and corporate deals with price, date, buyer, seller, advisors and more.

Source: Lantmäteriet, MML, public news articles and press releases

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GOLD

BUYER

Acquiring party in a transaction — linked to corporate structure.

Source: Lantmäteriet, Bolagsverket

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GOLD

SELLER

Divesting party in a transaction.

Source: Lantmäteriet, Bolagsverket

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GOLD

TAX ASSESSMENT

Tax assessment data down to valuation unit level.

Source: Skatteverket

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GOLD

BUILDINGS

Buildings on the property with areas, construction year, usage, and number of floors. Multiple buildings per property.

Source: Lantmäteriet, Ryhti

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GOLD

ENERGY PERFORMANCE CERTIFICATE

Energy performance, class, and proposed measures per building. Basis for sustainability reporting and CRREM analysis.

Source: Boverket

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GOLD

RENT DATA

Rent indexed by Kliva to provide a rent estimate for the current year. View rent data down to property level or aggregated.

Source: Kliva, public lease agreements

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Silver

DETAILED DEVELOPMENT PLAN

Current detailed development plans with an AI summary of the plan's content, plus a direct link to the plan.

Source: Municipal planning archives, Lantmäteriet

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GOLD

BUILDING RIGHTSComing

Permitted building volume per detailed development plan. GFA, height, and number of floors as structured attributes.

Source: Municipal planning archives

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Silver

RESTRICTED AREAComing

Land that cannot be built on — extracted as a separate geographical layer. This allows the remaining developable area to be calculated.

Source: Municipal planning archives

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GOLD

LAND ALLOCATIONComing

Municipal land allocations with actor, project, and timeline — linked to property and detailed development plan.

Source: Municipal allocation registries

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GOLD

BUILDING PERMIT

Building permits, land permits, demolition permits and preliminary rulings approved since 2019.

Source: Municipal building permit registries, Hubexo

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GOLD

CONSTRUCTION PROJECT

Active and planned construction projects with developer, contractor, volume, and timeline.

Source: Hubexo · Byggfakta

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Silver

CLIMATE RISK

Physical climate risk per property: flood, cloudburst, landslide/erosion, and heat stress — modeled layers over coordinates.

Source: SMHI, MSB, climate models

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BRONZE

MUNICIPALITY

Administrative unit in which the property is located — a bridge to planning archives, tax areas, and market statistics.

Source: SCB, Lantmäteriet

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GOLD

MARKET DATA

Rent levels, yield and vacancy per municipality, submarket, property type and value year.

Source: Newsec, Forum Fastighetsekonomi

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Silver

TYPE CODE

The Swedish Tax Agency's type code classifies the property (apartment buildings, industrial, single-family homes, etc.) — the basis for segmentation.

Source: Skatteverket

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GOLD

PUBLIC LEASE AGREEMENTS

Public lease agreements collected from Sweden’s municipalities and ESV, categorised by area of operation.

Source: Municipalities and ESV (Swedish National Financial Management Authority)

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Silver

DEVELOPER & CONTRACTOR

Search for actors and roles across construction projects.

Source: Hubexo · Byggfakta

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Silver

FLOODING

Cloudburst and sea level rise scenarios modeled over the property's coordinates — retention and damage potential.

Source: SMHI, MSB

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BRONZE

HEAT STRESS

Future heat stress for the building based on climate scenarios — basis for cooling demand and comfort risk.

Source: SMHI climate scenarios

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BRONZE

FINANCIAL DATA

The company's revenue and equity ratio.

Source: Bolagsverket

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GOLD

SOCIAL FACTORS

Social index per DeSO area with five dimensions — service, safety, cohesion, well-being, and life chances.

Source: SCB, BRÅ, Polisen, Boverket

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Silver

ENVIRONMENTAL RISK

Environmental risks and restrictions on and around the property. This includes contaminated land, radon, noise, protected nature, and cultural environments.

Source: County Administrative Boards, SGU, Swedish EPA, National Heritage Board

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GOLD

CREDIT RISK

Counterparty risk for tenants. This includes credit ratings, payment remarks, and bankruptcy risk linked to contracts and cash flow.

Source: Ebie

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Silver

PLUVIAL FLOODING

Pluvial flooding during intense rainfall. This includes modeled water depth and flow paths across the property surface.

Source: MSB pluvial flood mapping, municipal mapping

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BRONZE

SEA LEVEL

Coastal flooding from elevated mean sea level and storm surges. This includes scenarios until 2050 and 2100.

Source: SMHI, Lantmäteriet elevation data

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BRONZE

FLUVIAL FLOODING

Fluvial flooding from lakes and watercourses. This includes 50-, 100-, and 200-year flows, and calculated maximum flow.

Source: MSB flood mapping

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BRONZE

GROUNDWATER

Changes in groundwater levels. This indicates risk of moisture intrusion in basements and subsidence from falling levels.

Source: SGU

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BRONZE

DROUGHT

Chronic drought according to climate scenarios. This affects foundations, green spaces, and local water supply.

Source: SMHI climate scenarios

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BRONZE

WATER SCARCITY

Water stress in the area. This refers to supply in relation to extraction, relevant for operations and taxonomy requirements.

Source: SGU, SMHI

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BRONZE

HEATWAVE

Acute risk: number of days above threshold temperature per year in current and future climates.

Source: SMHI climate scenarios

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BRONZE

COLD & FROST

Cold snaps, frost cycles, and permafrost. This affects construction, energy demand, and maintenance intervals.

Source: SMHI

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BRONZE

TEMPERATURE VARIATION

Chronic change in mean temperature and temperature variability according to RCP 4.5 and 8.5.

Source: SMHI climate scenarios

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BRONZE

STORM

Acute wind risk. This includes gust winds and storm frequency at the property location.

Source: SMHI

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BRONZE

WIND PATTERNS

Chronic change in wind patterns according to climate scenarios. This impacts design load and facade wear.

Source: SMHI climate scenarios

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BRONZE

LANDSLIDE & EROSION

Stability risk in slopes and fine-grained soils. Modeled based on the property's geotechnics and inclination.

Source: SGI, SGU

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BRONZE

EROSION

Coastal and soil erosion over time. Particularly along the coast and waterways.

Source: SGI, SGU

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BRONZE

SUBSIDENCE

Ground subsidence and settlement. Soil type, foundation depth, and historical movement.

Source: SGU, SGI

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BRONZE

AVALANCHE

Avalanche risk in mountainous areas. Part of Appendix A's fixed mass risks.

Source: Naturvårdsverket, MSB

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BRONZE

CLIMATE SCENARIO

RCP 4.5 and 8.5 with time horizons 2030, 2050, and 2100. This is the scenario basis for each climate layer calculation.

Source: IPCC, SMHI

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GOLD

SERVICE AND PROXIMITY

Distance to groceries, pharmacies, healthcare, schools, and public transport. Calculated from the property's coordinates.

Source: OpenStreetMap, Trafiklab

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GOLD

SAFETY AND SECURITY

Reported residential burglaries and assaults per 100,000 inhabitants. Also, perceived safety according to NTU.

Source: BRÅ, Polisen

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GOLD

PARTICIPATION AND COMMUNITY

Association participation (LOK-stöd) and municipal election turnout. Indicators of local social cohesion.

Source: Riksidrottsförbundet, Valmyndigheten

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GOLD

ECONOMY AND HEALTH

Disposable median income and overcrowding according to norm 2, per DeSO area.

Source: SCB

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GOLD

EDUCATION AND UPBRINGING

Education level and long-term unemployment in the area. Structural conditions over time.

Source: SCB, Arbetsförmedlingen

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GOLD

CONTAMINATED LAND

Potentially contaminated areas with risk class and previous activity. Linked to the property's polygon.

Source: Länsstyrelsen EBH-stödet

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GOLD

GROUND RADON

Ground radon classification based on soil type and bedrock. High, normal, or low-risk land.

Source: SGU

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GOLD

NOISE

Road, rail, and air traffic noise in equivalent daily levels. Impacts residential building rights and detailed development plan review.

Source: Trafikverket, kommunala bullerkarteringar

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Silver

AIR QUALITY

Levels of NO₂ and particulates in relation to environmental quality standards.

Source: Swedish Environmental Protection Agency, SLB-analys

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Silver

WILDFIRE RISK

Wildfire risk around the property. Modeled based on vegetation, topography, and climate.

Source: Swedish Civil Contingencies Agency (MSB), Swedish Meteorological and Hydrological Institute (SMHI)

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BRONZE

SHORELINE PROTECTION

Shoreline protected zones that limit building rights. 100 or 300 meters, with municipal exemptions.

Source: County Administrative Board, Swedish Environmental Protection Agency

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GOLD

PROTECTED NATURE

Nature reserves, Natura 2000, and biotope protection areas that affect or border the property.

Source: Swedish Environmental Protection Agency

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GOLD

SPECIES PROTECTION

Findings of protected species in the local area. A common reason for delayed planning review.

Source: Swedish Species Information Centre (SLU)

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GOLD

WATER PROTECTION

Water protection areas and water bodies with regulations governing land use.

Source: County Administrative Board, VISS

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GOLD

CULTURAL ENVIRONMENT

National interests for cultural heritage management, listed buildings, and protection regulations in the plan.

Source: Swedish National Heritage Board

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GOLD

ANCIENT REMAINS

Registered ancient remains within the property. Requires permit review before groundworks.

Source: Swedish National Heritage Board Fornsök

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GOLD

EBIE

Credit rating and financial key figures for companies and tenants.

Source: Ebie

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GOLD

OPERATING COSTS

Standardized operating costs per sqm - electricity, heating, water/sewerage, property management and administration.

Source: Newsec

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Silver

VACANCY

Percentage-based vacancy by municipality, submarket and property type.

Source: Newsec, Forum Fastighetsekonomi

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Silver

HOGIA

Sync of contracts, rents, and property data from Hogia Fastighet.

Source: Hogia

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GOLD

PIGELLO

Sync of contracts, tenants, and property data from Pigello.

Source: Pigello

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GOLD

PROPERTY EXTRACT

FDS API for property and title deed data directly into the graph.

Source: Lantmäteriet / MML

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GOLD

Coverage

Source data taken from primary registers, market by market

6.3M+

properties indexed

598

municipalities covered in Sweden and Finland

200+

data sources

How we validate

Sourced, verified, updated

Primary sources, not second-hand data

We fetch data from the registry, not from aggregators. No data point exists without a source reference.

Validation and structuring

Transactions are verified, corporate structures are linked to assets, and discrepancies are flagged before data enters the platform.

Updated within 24 hours

Register changes are reflected in Kliva within 24 hours. Some sources update on the authority's own cycle — we always show the date per data point.

The same data in the platform and via MCP

The same data for your team and your AI agents

Much of the data in Kliva is available through the platform and through our MCP server — your own AI agents work on the same verified data as your team.

MCP & AI agents

Trust & Compliance Data in the Nordics