USE CASES / Credit & Banking
Decision data for lending and security valuation
Banks and credit institutions must continuously monitor and re-evaluate real estate collateral according to EBA guidelines and capital adequacy rules. Kliva provides credit organizations with verified source data for the entire process — from credit preparation to annual re-evaluation.
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Key functions for Credit & Banking
- Comparable transactions, tax assessment data, and market yields with source references for each data point
- Material suitable for credit committee and audit
- Portfolio monitoring of value development, ownership changes, and risk signals
- Signals automatically notify you of transactions, ownership changes, planning decisions, and altered risk profiles
- Flooding, energy performance, and physical climate risk per property
- Ready for ICAAP, credit policy, and sustainability reporting
- ISO 27001:2022 certified and GDPR compliant — built for the financial sector
- Hosted in Nordic cloud infrastructure
- Allow your own AI assistants to retrieve security data directly from the Property Graph via MCP — with source references that withstand audit.
IN DEPTH
Evidence that holds up for credit decisions, audit and supervision
Kliva brings valuation, risk, transactions and compliance into one data model — with source and timestamp on every data point.
Compliance: DORA, ISO 27001, GDPR
ISO 27001-certified platform, DORA-ready vendor documentation and GDPR records for your third-party review.
Read moreValuation — single asset and portfolio
Cash flow analysis and DCF per asset, with the option to re-run the entire collateral pool when assumptions change.
Read moreClimate, taxonomy and Risk & Environment
Flooding, landslide, contaminated land and energy performance per property — input for EU Taxonomy and ESG reporting.
Read moreThe Property Graph
Property, owner, group, mortgage deeds and tenants are linked — trace exposure from a single asset to the whole group.
Read moreData in Sweden
Swedish servers and Nordic jurisdiction, with traceability on where data is stored and who can access it.
Read moreTransactions
Title-deed and corporate transactions updated daily — comparable evidence for collateral valuation.
Read moreCOMPLIANCE
Compliance that holds up to supervision and third-party review
Kliva is delivered as a third-party provider you can document. We supply the certifications, contractual evidence and logs your credit and compliance teams need for DORA, ISO 27001 and GDPR.
Read more about Trust & Compliance- ISO 27001:2022-certified management system, audited by an external assessor.
- DORA-ready vendor pack: exit plan, incident procedures and subprocessor register.
- GDPR: data processing agreement, records of processing and deletion on request.
- Role-based access, SSO and a full audit log per user and data extraction.
CLIMATE & ENVIRONMENTAL RISK
Climate and environmental risk per security, not per portfolio
Physical climate risk and environmental exposure are assessed asset by asset against EU Taxonomy Appendix A, with scenarios and a source on every data point — usable directly in credit assessment and sustainability reporting.
Read more about Climate & Environmental Risk- Acute and chronic climate risks under RCP 4.5 and 8.5, per property.
- Flooding, cloudburst, landslide and contaminated land with source and date.
- Energy performance and evidence for taxonomy alignment of the lending book.
- Mitigation measures, cost estimates and a digital journal for the audit trail.
VALUATION
Collateral valuation for a single asset and the full portfolio
Build cash flow models per property and revalue the entire collateral pool when rates, yields or vacancy move. Assumptions and inputs stay traceable, so the valuation can be defended after the fact.
Read more about Valuation- DCF and cash flow modelling per property, with tenant and lease data.
- Scenarios and sensitivity analysis on yield, interest rate, vacancy and indexation.
- Portfolio-wide revaluation of the collateral pool when market assumptions change.
- Comparable transactions and market data supporting the valuation assumptions.