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. Full coverage today in Sweden and Finland.

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

14 results

einar mattssonSearch property, owner, tenant or registration number

All14Properties2Owners4Tenants1Transactions7Municipalities0

Einar Mattsson ABProperty owner
556626-1920 · Group Parent Company
86 properties · 364 433 m² GFA · Solvency Ratio 38 %
Einar Mattsson Byggnads ABProperty owner
556053-7515 · Subsidiary
12 properties · Revenue 2 140 MSEK
TIMMERMANNEN 5PropertyFlerbostadshus
Stockholm · Södermalm
9,480 sqm · Einar Mattsson AB
SOLNA HAGALUND 2:2Transaction
2023-11-14 · Einar Mattsson AB → Rikshem AB
418,000,000 SEK · 44,120 SEK/sqm

Illustration of Quick Search. Figures are sample data.

Graph database

Real estate data is a graph — that is why Kliva is built as a

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 aNode, and the relationships between them areedges 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.

Guld

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.

Brons

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 in the Nordics with designation, address, areas, and coordinates.

Source: Lantmäteriet / MML / [DK/NO-register]

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Guld

OWNER

Registered owner — company or individual — with the full ownership chain upward through group structures.

Source: Lantmäteriet, Bolagsverket

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Guld

GROUP STRUCTURE

Groups, parent companies, and subsidiaries linked to each owner. This allows portfolios to be tracked across company boundaries.

Source: Bolagsverket, PRH

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Guld

TRANSACTION

Registered purchases and corporate transactions with price, date, parties, and financing. Validated and de-duplicated.

Source: Lantmäteriet, MML, [DK/NO]

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Guld

BUYER

Acquiring party in a transaction. Linked to the group structure to track buying patterns per actor.

Source: Lantmäteriet, Bolagsverket

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Guld

SELLER

Divesting party in a transaction. Connected to its entire previous holdings in the graph.

Source: Lantmäteriet, Bolagsverket

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Guld

TAX ASSESSMENT

Tax assessment value, property type code, and assessment history per property. The basis for standard valuations and benchmarks.

Source: Skatteverket

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Guld

BUILDING

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

Source: Lantmäteriet, BBR, Matrikkelen

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Guld

ENERGY PERFORMANCE CERTIFICATE

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

Source: Boverket

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Guld

RENT DATA

Rent levels per segment and submarket, aggregated from contracts and indices. Comparable benchmarks.

Source: Kliva market index, public sources

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Silver

DETAILED DEVELOPMENT PLAN

Current detailed development plans with usage, building rights, and restricted areas as separate, searchable layers. Georeferenced polygons, not PDFs.

Source: Municipal planning archives, Boverket

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Guld

BUILDING RIGHTS

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

USAGE

Permitted usage types (residential, office, retail, industrial) as separate layers. Searchable per polygon.

Source: Municipal planning archives

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Guld

RESTRICTED AREA

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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Guld

LAND ALLOCATION

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

Source: Municipal allocation registries

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Guld

BUILDING PERMIT

Granted building permits with type, scope, and decision date — a signal that a project is about to start.

Source: Municipal building permit registries, Hubexo · Byggfakta

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Guld

CONSTRUCTION PROJECT

Active and planned construction projects with developer, contractor, volume, and timeline — across the Nordic region.

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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Brons

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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Guld

MARKET DATA

Yields, rent levels, and transaction volumes aggregated per municipality and submarket — Kliva market index.

Source: Kliva market index

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Silver

VALUATION

Model valuations via cash flow and comparable sales method — traceably derived from transactions, rents, and yields in the graph.

Source: Kliva valuation engine

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Brons

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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Guld

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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Guld

CONTRACT

Contract level with duration, index clause, and rent per sqm — anonymized basis for benchmarks.

Source: Kliva market index

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Silver

DEVELOPER

Client of the construction project — linked to company structure to follow actors' pipeline over time.

Source: Hubexo · Byggfakta

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Silver

CONTRACTOR

General contractor or main contractor per project — market shares and relationships between actors.

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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Brons

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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Brons

CASH FLOW

DCF model with rental income, operations, vacancy, and exit yield — derived from the graph's rent and yield data.

Source: Kliva valuation engine

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Brons

LOCAL PRICE

Comparable transactions within the same segment and submarket — traceable to each underlying deal.

Source: Kliva valuation engine

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Silver

PLAN ARCHIVE

Municipality's complete zoning plan and permit archive — indexed and searchable by property and polygon.

Source: Municipal plan archives

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Guld

DECISIONS

Decision date, processing time, and outcome per building permit — signals on the municipality's pace and practice.

Source: Municipal building permit registries

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Guld

FINANCIAL DATA

Companies' financial profile — revenue, profit, solvency, leverage, and cash flow — linked to each owner and buyer in the graph.

Source: Bolagsverket, PRH, Kliva financial index

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Guld

ANNUAL REPORTS

Complete annual reports per company and year — income statement, balance sheet, notes, and auditor's report.

Source: Bolagsverket, PRH

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Guld

KEY RATIOS

Calculated key ratios per company: solvency, interest coverage ratio, return on equity — comparable over time and peers.

Source: Kliva financial index

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Silver

PERSON

Physical persons behind the companies — board members, CEOs, and authorized signatories — with the entire network of company engagements.

Source: Bolagsverket, PRH

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Guld

CEO

CEO per company and time period — traceable across their entire career and across company boundaries.

Source: Bolagsverket, PRH

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Guld

OTHER ENGAGEMENTS

All other board and CEO engagements for the same person — making dependencies and conflicts of interest visible.

Source: Bolagsverket, PRH

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Silver

RISK

Consolidated node for all property-level risk data — climate, environmental, social factors, and credit risk — calculated over the same coordinates and ownership chain as the rest of the graph.

Source: Kliva risk engine

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Brons

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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Guld

CREDIT RISK

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

Source: Ebie, Bolagsverket, PRH

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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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Brons

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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Brons

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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Brons

GROUNDWATER

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

Source: SGU

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Brons

DROUGHT

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

Source: SMHI climate scenarios

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Brons

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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Brons

HEATWAVE

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

Source: SMHI climate scenarios

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Brons

COLD & FROST

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

Source: SMHI

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Brons

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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Brons

STORM

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

Source: SMHI

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Brons

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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Brons

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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Brons

EROSION

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

Source: SGI, SGU

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Brons

SUBSIDENCE

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

Source: SGU, SGI

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Brons

AVALANCHE

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

Source: Naturvårdsverket, MSB

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Brons

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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Guld

SERVICE

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

Source: OpenStreetMap, Trafiklab

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Guld

SAFETY

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

Source: BRÅ, Polisen

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Guld

SOCIAL COHESION

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

Source: Riksidrottsförbundet, Valmyndigheten

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Guld

WELL-BEING

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

Source: SCB

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Guld

LIFE OPPORTUNITIES

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

Source: SCB, Arbetsförmedlingen

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Guld

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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Guld

GROUND RADON

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

Source: SGU

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Guld

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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Brons

SHORELINE PROTECTION

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

Source: County Administrative Board, Swedish Environmental Protection Agency

🇸🇪

Guld

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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Guld

SPECIES PROTECTION

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

Source: Swedish Species Information Centre (SLU)

🇸🇪

Guld

WATER PROTECTION

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

Source: County Administrative Board, VISS

🇸🇪

Guld

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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Guld

ANCIENT REMAINS

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

Source: Swedish National Heritage Board Fornsök

🇸🇪

Guld

EBIE

Credit rating and financial key figures for companies and tenants. Updated continuously.

Source: Ebie

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Guld

CREDIT RATING

Rating per counterparty with history. Linked to company structure to show group risk.

Source: Ebie

🇸🇪

Guld

TENANT RISK

Credit risk per tenant weighted against the contract's share of rental income. Shows where cash flow is sensitive.

Source: Ebie, Kliva contract data

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Silver

PAYMENT REMARK

Registered payment remarks and debt balance per company.

Source: Ebie, Swedish Enforcement Authority

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Guld

BANKRUPTCY RISK

Modeled probability of insolvency within twelve months, based on financial data and history.

Source: Ebie, Kliva financial index

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Brons

NET OPERATING INCOME

Rental income minus operating and maintenance costs per asset. The basis for yield and DCF.

Source: Kliva valuation engine, property system

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Silver

OPERATING COSTS

Actual and standardized operating costs per square meter — electricity, heating, water/sewer, property management, and administration.

Source: Property management system, Kliva benchmark

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Silver

VACANCY

Economic and area-based vacancy per asset and segment — historical data and future assumptions.

Source: Property management system, Kliva market index

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Silver

YIELD

Required yield per segment and submarket, derived from completed transactions.

Source: Kliva market index

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Silver

EXIT YIELD

Required yield at the end of the calculation period — determines the residual value in the cash flow model.

Source: Kliva valuation engine

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Brons

CAPEX

Planned investments and maintenance needs over the calculation period — including energy efficiency measures.

Source: Property management system, Kliva valuation engine

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Silver

PROPERTY MANAGEMENT SYSTEM

Kliva syncs with the client's own systems. Rents, contracts, and costs are used in the valuation.

Source: Kliva integrations

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Guld

HOGIA

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

Source: Hogia

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Guld

PIGELLO

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

Source: Pigello

🇸🇪

Guld

FDS

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

Source: FDS

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Guld

Coverage

Source data taken from primary registers, market by market

6.3M+

properties indexed

599

municipalities covered in Sweden and Finland

200+

data sources

Sources per market

What we cover in each country

Sverige

Land registry, legal title transactions, assessment data, corporate data, detailed development plans, and building permits.

Finland

Cadastral and title registers, company data, zoning plan data (asemakaava).

Construction projects and building permits in Sweden and Finland in collaboration with Hubexo · Byggfakta.

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 team behind the data

Validated by humans, built for machines

Behind the pipelines is a data team that reviews anomalies, verifies transactions, and quality assures sources — so both your team and your AI agents can trust every data point.

The same data in the platform, via API and via MCP

The same data for your team and your AI agents

All data in Kliva is available through the platform, through the API 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